Durban, South Africa — October 16, 2025 — Krisp, the leader in real-time voice AI technology, today announced the launch of Accent Conversion for Africa, enabling clearer and more natural conversations across the country’s customer experience (CX) sector. As one of the world’s fastest-emerging outsourcing hubs, Africa has a highly skilled, English-speaking workforce with strong cultural alignment to Western markets, positioning it as a strategic bridge for CX operations across Africa and Europe. Krisp Accent Conversion for Africa supports African English accents, including South African, Ugandan, Kenyan, and Nigerian. 

The launch builds on the success of Krisp Accent Conversion 3.7, which supports Indian, Pakistani, Filipino, and Latin American English accents. Powering CX operations at tier-1 banks, insurers, and BPOs worldwide, Krisp’s AI-powered solution continues to set the industry benchmark for speech clarity, phoneme precision, and naturalness. Krisp Accent Conversion for Africa delivers near-native comprehension between contact center agents and consumers, demonstrating a higher performance than both competitors and unprocessed voice.

“Even in the age of AI, human agents are at the front lines of every meaningful customer interaction and they deserve to be clearly understood,” said Davit Baghdasaryan, Co-Founder and CEO of Krisp. “As the CX industry evolves to become more AI-driven, one thing remains constant: human connection drives loyalty and trust. With Krisp, clarity becomes universal, not cultural, by removing accent bias and empowering every voice to connect globally.”

Advantages of Krisp Accent Conversion for Africa include:

• Proven performance + measurable impact: Krisp is already trusted at scale, with 250,000+ enterprise seats deployed and 80B+ minutes processed monthly in real-time conversations. Customers using Krisp have seen +99% NPS from end-customers.
• Eliminated accent bias: Krisp bridges clarity gaps across Africa’s diverse English accents and native languages.
• Talent expansion + boosted retention: Krisp accent conversion expands access to CX jobs for agents who might otherwise be excluded and preserves agents’ authentic voices, building confidence and authenticity.
• Cutting costs: Removes the need for expensive and limiting accent neutralization training.
• Global competitiveness: Allows operators to hire broadly, without limitations due to accent, and compete more effectively with leading outsourcing hubs like India and the Philippines.

“By integrating Krisp’s AI platform, including Accent Conversion and noise cancellation, we’re amplifying the human touch at every interaction,” said Sudhir Agarwal, Founder & CEO of Everise. “Krisp’s technology has consistently outperformed in head-to-head evaluations across clarity, naturalness, and accent accuracy.”

Krisp’s mission is to enhance the productivity of every voice interaction, which includes eliminating bias and language barriers. By combining advanced voice AI with enterprise-scale reliability, Krisp enables global CX organizations to deliver consistent, high-quality interactions at every touchpoint. 

To learn more, visit https://krisp.ai/contact-center/accent-conversion/

Media Contact

Molly Leahy

krispPR@walkersands.com

The post Krisp Launches Accent Conversion for Africa appeared first on Krisp.

This update introduces enhancements to speaker similarity, ensuring overall voice stability. As a result, the converted speech sounds closer to the original voice preserves the unique qualities of the original voice while remaining clear, stable, and easy to understand.

Key Improvements in LatAm v3.7

• Speaker Similarity: Noticeably stronger preservation of the original speaker’s voice. Objective evaluations showed a 10% improvement in similarity compared to v3.5.
• Voice Stability: More consistent pitch and tone throughout speech, eliminating artificial fluctuations and producing a smoother, more natural output.
• Naturalness: With enhanced similarity and stability, converted speech is perceived as more human-like and fluid. Crowdsourced model comparisons demonstrated a 9% increase in naturalness scores for v3.7.

Evaluation Results

Our evaluation combined both objective metrics and subjective, crowdsourced testing to ensure robust validation:

• 37 real-world recordings were sampled for evaluation.
• For the crowdsourced study, each recording received 40 independent votes, yielding a total of 1,480 votes and ensuring statistical confidence in the results.
• The reported results represent aggregated averages across all recordings.

These findings consistently confirm noticable quality improvements delivered by v3.7.

Comparative audio samples

Listening Tip: For the most accurate and immersive comparison between Accent Conversion v3.5 and v3.7, we recommend using quality headphones.

This highlights improvements in clarity, naturalness, and speaker identity preservation that may not be as noticeable on laptop or mobile speakers.

The post Krisp Accent Conversion v3.7 Expands to Latin American Accent Pack appeared first on Krisp.

Krisp will make Accent Conversion for African English accents—including South African, Ugandan, Kenyan, and Nigerian—available in October 2025, following the release of its 3.7 model for Indian, Pakistani, Filipino, and Latin American support.  It will be fully tested and available for live deployment.

Proven performance

Krisp’s Voice AI platform is already trusted at scale:

• 250,000+ enterprise seats deployed
• 80B+ minutes processed monthly in real-time conversations

Krisp’s Accent Conversion delivers measurable impact:

• +99% NPS from end-customers
• +26.1% in sales conversions
• +14.8% in revenue per booking

Accent clarity is often the deciding factor in customer satisfaction, repeat business, and agent productivity. Krisp Accent Conversion for South Africa ensures conversations remain natural, inclusive, and crystal clear—unlocking the country’s full potential as a CX powerhouse.

Accent Conversion takes these advantages further by:

• Eliminating accent bias: Bridges clarity gaps across South Africa’s diverse English accents and native languages.
• Unlocking opportunity: Expands access to CX jobs for agents who might otherwise be excluded.
• Boosting retention: Preserves agents’ natural voices, building confidence and authenticity.
• Cutting costs: Removes the need for expensive and limiting accent neutralization training.
• Scaling without limits: Allows operators to hire broadly, without limitations due to accent, and compete globally with India and the Philippines.

Krisp continues to set the standard for real-time Voice AI at enterprise scale, giving global operators technology they can trust to deliver measurable results.

Krisp Accent Conversion for South Africa will be available for deployment in October. To learn more, visit https://krisp.ai/contact-center/accent-conversion/

The post Krisp Announces Accent Conversion for Africa appeared first on Krisp.

In May 2025, we released Accent Conversion v3.5, bringing a major quality upgrade — with ~20% improvement across key metrics for both Filipino and Indian accents (details here). Thanks to Krisp desktop application’s auto-update mechanism, the rollout reached 95% of users within 2 days, and the feedback was overwhelmingly positive, both from agents and customers, driving sentiment and business KPIs.

In July 2025, we expanded the offering to support the Latin American accent pack. The launch quickly gained traction with several large customers and is now deployed across thousands of agents.

Throughout this period, we’ve worked closely with partners, agents, and customers to deeply understand corner cases — especially for the Indian accent, which is the most challenging due to its vast regional variation and phonetic complexity. This close collaboration, combined with relentless efforts from the world-class research and engineering teams at Krisp, has culminated in another major step forward now.

Today, we’re launching Accent Conversion v3.7, delivering significant improvements in naturalness and voice stability. This release is currently focused on the Indian accent pack, with support for other accents rolling out soon.

The following sections summarize the key improvements, benchmarking methodology, and a side-by-side comparison of Accent Conversion v3.7 with v3.5.

Key Improvements in AC v3.7

1. Naturalness: The converted speech sounds even more human-like and natural, with much improved filler-sound handling. Here, expert-rated naturalness scores improved by +14%. Crowdsourced evaluations confirm it with a +6% gain.
2. Voice Stability: Enhanced consistency in pitch and tone throughout the utterance, helping avoid unnatural fluctuations, especially for thick accents. This contributed to improved naturalness and clarity scores across all metrics.
3. Speech & Audio Clarity: Improvements were noted in both intelligibility and the reduction of artifacts and distortions. Speech Clarity scores rose by 5% in expert assessments, with corresponding enhancements across Meta metrics.
4. Pronunciation Accuracy: There’s a gain in objective metrics as well, about a 4% relative improvement in Phoneme Error Rate (PER), which can be attributed to more conversational data inclusion in the training. Here, some noticeable accent-specific enhancements in phoneme pronunciation, such as more native-like articulation of “R” and “L”, contribute to a +5% increase in the Accent Conversion score.

Evaluation Results

For subjective and objective evaluations, 78 real-world recordings were sampled.

For the crowdsourced evaluation, each recording received exactly 30 independent votes to ensure statistical confidence, 2340 total votes.

The results shown in the table below represent aggregated averages across all recordings.

Metric	IN AC v3.5	IN AC v3.7	Comment
Expert Evaluation – Natural speech (1 to 5)	3.7	4.2 (+14%)	Speech sounds even more human-like, with much improved filler-sound handling
Expert Evaluation – Speech Clarity (1 to 5)	4.0	4.2 (+5%)	Speech is with fewer artifacts and clearer, especially in slurred and mumbling segments
Expert Evaluation – Accent Conversion (1 to 5)	4.3	4.5 (+5%)	Accent-specific enhancements in phoneme pronunciation, such as more native-like articulation of “R” and “L”
Crowdsourced Evaluation – “How natural does the voice sound?” (1 to 5)	3.4	3.6 (+6%)	78 real-world audio recordings assessed by 30 participants
Crowdsourced Models’ Comparison – Which option sounds more natural?	1242	1878 (+20%)	78 real-world audio recording pairs were evaluated, with each pair assessed by 40 participants
Meta Aesthetic – Natural speech (1 to 10)	5.6	5.8 (+4%)
Meta Aesthetic – Speech Clarity (1 to 10)	7.5	7.6 (+1%)

Comparative audio samples

Listening Tip: For the most accurate and immersive comparison between v3.5 and v3.7 Accent Conversion, we recommend using quality headphones.

This helps highlight the improvements in clarity, naturalness, and speaker identity preservation that may be less perceptible on laptop or mobile speakers.

Appendix

Subjective Evaluation

Our evaluation was conducted across two structured tracks: expert panel ratings and crowdsourced listener preferences, designed to capture both technical precision and human perception.

Real-world agent calls have been sampled to represent a diverse set of speakers and input conditions, including, but not limited to

• Accent level – high, medium, low
• Speech rates and fluency
• Background conditions (quiet, noisy, multi-speaker environments)

Evaluators scored each recording across four qualitative dimensions using a 5-point Likert scale:

1. Expert Panel Evaluation

Six expert evaluators independently rated matching audio pairs — each pair consisting of the same original voice converted by AC v3.5 and AC v3.7.

To eliminate bias:

• File names were anonymized (no version markers)
• The order of samples was randomized
• Scoring was blind and individual (no group discussion)

2. Crowdsourced Evaluation

To further simulate real-world user perception, a blind A/B test was run with a pairs of recordings: AC v3.5 vs. AC v3.7.
78 real-world audio recording pairs were evaluated, with each pair assessed by 40 participants, resulting in 3,120 votes overall.

Participants were asked the following question:
“Which option sounds more natural (i.e., more human-like)?”

Results:

• Version 3.5 was selected 1242 times
• Version 3.7 was selected 1878 times

Evaluation metrics

Accent Conversion performance was measured across four key dimensions. These were selected based on real-world call center priorities such as clarity, naturalness, and robustness.

Objective Evaluation

For objective evaluation, the same set of recordings was processed using the Meta Audiobox Aesthetics and captured metrics strongly correlated to Natural Speech and Speech Clarity. Additionally, to quantify how each system impacts phoneme accuracy, all recordings were also processed using the Facebook NN Phonemizer, which is strongly correlated with the Accent Conversion metric.

•  these metrics are derived from waveform-level analysis and do not require transcript or linguistic alignment, making them ideal for evaluating accent conversion outputs that vary in delivery and prosody.

The post Introducing Krisp Accent Conversion v3.7 appeared first on Krisp.

AI Accent Conversion utilizes real-time inflection changes to help customers understand agents better by dynamically changing agents’ accents into the customer’s natively understood accent. By allowing agents to refine Latin American accents live on a call, Krisp helps agents and customers understand each other while keeping voices natural and authentic. As contact centers continue to use AI-powered tools to improve productivity, this update empowers call center agents and customers to have improved and clear conversations without altering their identity. 

“Krisp is proud to be the first to bring AI Accent Conversion to Latin America, an incredibly diverse region where authentic communication is key,” said Davit Baghdasaryan, CEO and co-founder of Krisp. “By supporting the most widely spoken Latin American English accents, we’re not just improving call clarity but helping to bridge cultural and linguistic gaps in real time. At Krisp, our goal has always been to enable human conversations that are clear, with nuance and without background noise.”

Other benefits of AI Accent Conversion include: 

• Boosted agent productivity: Allows agents to focus on communication content and solving the customer’s inquiry rather than mitigating the accent barrier, leveling up the productivity.
• Enhanced fairness in recruitment: Krisp removes the native English accent requirement, broadening the talent pool and promoting diversity in hiring.
• Reduced bias: Mitigates customer bias against call center agents’ accents, boosting confidence and fostering a supportive work environment.
• Improved agent interaction quality: Eliminates the need for accent faking, enhancing employee and agent satisfaction and well-being.

With the Latin American update, Krisp’s AI Accent Conversion tool now supports Spanish, Indian and Filipino dialects, with new dialects coming this year, such as South African and non-US English accents. The newest update also includes improved naturalness and voice preservation for Indian and Filipino accents, and improved accent leakage and phoneme precision. No other provider is delivering accent localization in LATAM with real-time accent conversion, significantly improving agent and customer satisfaction by enabling clearer conversations. 

To learn more, visit https://krisp.ai/. 

About Krisp

Founded in 2017, Krisp pioneered the world’s first AI-powered Voice Productivity software. Krisp’s Voice AI technology enhances digital voice communication through audio cleansing, noise cancellation, accent conversion, live speech-to-speech translation, and agent assist. Offering full privacy, Krisp works on-device, across all audio hardware configurations and applications that support digital voice communication. Today, Krisp is deployed on over 200 million devices, has transcribed over 40 million calls and processes over 80 billion minutes of voice conversations every month, helping businesses harness the power of voice to unlock higher productivity and deliver better business outcomes. 

Learn more at www.krisp.ai 

Media Contact

Molly Leahy

krispPR@walkersands.com

The post Krisp Unveils Industry-First AI Accent Conversion for LATAM appeared first on Krisp.

Key Improvements in AC v3.5

1. Speech & Audio Clarity: Major improvements in intelligibility and reduction of audio artifacts and distortions. Speech Clarity scores increased by +18% (Indian) and +23% (Filipino) in expert evaluations, with consistent boosts across Meta metrics as well.
2. Naturalness & Fluidity: Speech sounds more human and expressive, with better rhythm, pacing, and filler sound handling. Expert-rated Natural Speech scores improved by +18% (Indian) and +20% (Filipino). Crowdsourced evaluations confirm this with +10% (Indian) and +6% (Filipino) gains.
3. Pronunciation Accuracy: Improved phoneme articulation and intelligibility reflected in a fairly significant 10% reduction in Phoneme Error Rate (PER) for the Indian accent pack.
4. Voice Stability: Enhanced consistency in pitch and tone throughout the utterance, helping avoid unnatural fluctuations. This contributed to improved naturalness and clarity scores across all metrics.
5. Speaker Identity Retention: v3.5 models better preserve the original speaker’s voice characteristics, resulting in more personalized and authentic-sounding output, evident in higher naturalness ratings across both subjective and objective evaluations.

Evaluation Results

For subjective and objective evaluations, 78 real-world recordings were sampled for the Indian accent pack and 57 for the Filipino accent pack.

For the crowdsourced evaluation, each recording received exactly 30 independent votes to ensure statistical confidence — 2340 total votes for Indian recordings and 1710 for Filipino recordings.

The results shown in the table below represent aggregated averages across all recordings.

Metric	IN AC v3	IN AC v3.5	PH AC v3	PH AC v3.5
Expert evaluation – Natural speech (1 to 5)	3.3	3.9 (+18%)	3.4	4.1 (+20%)
Expert evaluation – Speech clarity (1 to 5)	3.4	4.0 (+18%)	3.4	4.2 (+23%)
Crowdsourced evaluation – “How natural does the voice sound?” (1 to 5)	3.1	3.4 (+10%)	3.3	3.5 (+6%)
Meta Aesthetic – Natural speech (1 to 10)	5.4	5.6 (+4%)	5.4	5.7 (+6%)
Meta Aesthetic – Speech clarity (1 to 10)	7.1	7.5 (+6%)	7.1	7.5 (+6%)
Phoneme Error Rate (PER)	26.1%	24% (−10%)	28.4%	= 28.4% (no change)

Comparative audio samples

Listening Tip: For the most accurate and immersive comparison between v3.0 and v3.5 Accent Conversion, we recommend using quality headphones.

This helps highlight the improvements in clarity, naturalness, and speaker identity preservation that may be less perceptible on laptop or mobile speakers.

Indian English accent pack

Filipino English accent pack

Appendix

Subjective evaluation

Our evaluation was conducted across two structured tracks: expert panel ratings and crowdsourced listener preferences, designed to capture both technical precision and human perception.

Real-world agent calls have been sampled to represent a diverse set of speakers and input conditions, including, but not limited to

• Accent level – high, medium, low
• Speech rates and fluency
• Background conditions (quiet, noisy, multi-speaker environments)

Evaluators scored each recording across four qualitative dimensions using a 5-point Likert scale:

1. Expert Panel Evaluation

Six expert evaluators independently rated matching audio pairs — each pair consisting of the same original voice converted by AC v3 and AC v3.5.

To eliminate bias:

• File names were anonymized (no version markers)
• The order of samples was randomized
• Scoring was blind and individual (no group discussion)

2. Crowdsourced Evaluation

To further simulate real-world user perception, a blind A/B/C test was run with a trio of recordings: original vs. AC v3 vs. AC v3.5.

Respondents asked a single question – “How natural does the voice sound?”, and scored recordings using the same 5-point Likert scale:

Evaluation metrics

Accent Conversion performance was measured across four key subjective and objective dimensions. These were selected based on real-world call center priorities such as clarity, naturalness, and robustness.

Objective evaluation

For objective evaluation, the same set of recordings was processed using the Meta Audiobox Aesthetics and captured metrics strongly correlated to Natural Speech and Speech Clarity. Additionally, to quantify how each system impacts phoneme accuracy, all recordings were also processed using the Facebook NN Phonemizer, which is strongly correlated with the accent conversion metric.

* These metrics are derived from waveform-level analysis and do not require transcript or linguistic alignment, making them ideal for evaluating accent conversion outputs that vary in delivery and prosody.

The post Introducing Accent Conversion v3.5 appeared first on Krisp.

This document is intended for contact center operators to assess the quality and performance of Krisp AI Accent Conversion (also known as Accent Translation, Accent Neutralization, or Accent Smoothing) with Sanas’s offering. 

Enhanced voice quality in agent-customer interactions, driven by accent conversion, generates ROI based on lower AHT, faster FCR, and improved CSAT and ESAT scores. 

Krisp and Sanas applications are deployed on the agents’ desktops and function as virtual microphones and speakers, working as companion applications with calling platforms. Delivering on the promise of smoothing difficult accents while maintaining clear voice quality in real-time is challenging and takes years to perfect.

There are a few technical challenges that make the task difficult:

• Removing background noises and voices
• Synthesizing a natural-sounding speech
• Ensuring accurate pronunciation of different words
• Conveying emotions
• Doing all the above in various real-life situations (fast speech, acoustic conditions, different speakers, etc)

Krisp launched its first commercial application in contact centers in 2019 and has processed over 1 trillion minutes of voice calls. Today, Krisp is deployed across many BPOs and top-tier enterprise call centers, along with also being integrated into voice applications with more than 200 million users across both desktop and mobile devices.

The table below highlights the key performance and management requirements for delivering tier-1 voice fidelity that scales globally within contact centers.

Krisp vs Sanas

Speech naturalness

Krisp vs. Sanas: in-depth accent conversion evaluation

In this section, we present a comparative summary of evaluations conducted on Krisp and Sanas Accent Conversion technologies. These evaluations reflect real-world usage scenarios and benchmark data commonly produced by enterprise customers and BPOs assessing solution fit and performance. The report compiles insights from subjective and objective comparisons across key speech quality metrics, with the aim of informing product decisions and highlighting relative strengths and limitations.

The evaluation results summarized here focus specifically on the Filipino English accent configuration, a commonly requested use case in global support environments.

Subjective evaluation

The evaluation was conducted across two structured tracks: expert panel ratings and crowdsourced listener preferences, designed to capture both technical precision and human perception.

1. Expert panel evaluation

Six expert evaluators independently rated 70 matched audio pairs — each pair consisting of the same original voice converted by Krisp and Sanas. The recordings represented a diverse set of male/female speakers and input conditions, including, but not limited to

• Accent level – high, medium, low
• Speech rates and fluency
• Background conditions (quiet, noisy, multi-speaker environments)

Each recording was processed with Krisp and Sanas’ accent conversion software using a combination of VB-Audio Virtual Cable and Audacity tools to generate a pair of matching recordings.

Evaluators scored each recording across four qualitative dimensions using a 5-point Likert scale:

To eliminate bias:

• File names were anonymized (no brand markers)
• The order of samples was randomized
• Scoring was blind and individual (no group discussion)

2. Crowdsourced A/B testing

To further simulate real-world user perception, a blind A/B test was run with a subset of 57 real-world, anonymized audio pairs. Each pair of recordings was voted on exactly 60 times.

Each respondent was asked: “Which voice sounds more natural?”

3420 responses were gathered, giving a statistically significant insight into the perceived naturalness of the two accent conversion solutions. Each participant evaluated randomly selected samples, with no access to brand or source information.

Evaluation metrics

Accent Conversion performance was measured across four key subjective and objective dimensions. These were selected based on real-world call center priorities such as clarity, naturalness, and robustness.

Objective evaluation methodology and metrics

To complement human evaluations, a structured objective analysis was conducted using state-of-the-art tools to quantify speech quality and pronunciation accuracy in Krisp and Sanas accent-converted outputs. These metrics offer an additional, unbiased perspective into the perceptual and technical performance of each solution.

For objective evaluation, the same 70 pairs of recordings were processed using the Meta Audiobox Aesthetics and captured metrics strongly correlated to Natural Speech and Speech Clarity.

Accent conversion often alters pronunciation patterns. To quantify how each system impacts phoneme accuracy, all recordings were also processed using the Facebook NN Phonemizer, which is strongly correlated with the accent conversion metric.

* – These metrics are derived from waveform-level analysis and do not require transcript or linguistic alignment, making them ideal for evaluating accent conversion outputs that vary in delivery and prosody.

Evaluation results

The following table summarizes the subjective and objective performance of Krisp vs. Sanas across key evaluation dimensions:

Metric	Type	Krisp	Sanas	Winner
Accent Conversion	Subjective	3.6/5	3.0/5	Krisp
Natural Speech	Subjective	🟰 3.7/5	🟰 3.6/5	Near Tie
Speech Clarity	Subjective	4.3/5	3.7/5	Krisp
Background Noise/Voice Robustness	Subjective	4.6/5	3.9/5	Krisp
Which recording sounds more natural? Preferred by (# votes / total responses)	Subjective	1875/3420	1545/3420	Krisp
Natural Speech*	Objective	5.8/10	4.7/10	Krisp
Speech Clarity*	Objective	7.5/10	5.3/10	Krisp
Phoneme Error Rate (PER)	Objective	29.3%	40.7%	Krisp

Main Takeaways

• Krisp leads across all critical performance metrics — both human-perceived and objectively measured — showing superior clarity, intelligibility, and accent transformation accuracy.
• Accent Conversion: Krisp delivers more effective accent neutralization with fewer traces of the original pronunciation. Sanas often leaks source accent elements and produces less consistent results across varied speakers and speech patterns.
• Speech Clarity & Phoneme Accuracy: Krisp-converted speech is significantly easier to understand. Sanas samples frequently exhibit muffled segments or slurred phonemes, which negatively affect comprehension and usability in customer support settings.
• Background Noise Robustness: Krisp maintains speech quality in real-world noisy conditions, including multi-speaker and contact center environments. Sanas, by contrast, is more susceptible to background voice leakage — a potential liability for call quality and privacy.
• Audio Quality and Bandwidth: Krisp outputs at 16 kHz wideband audio, providing richer, more intelligible voice quality, especially in modern platforms like Zoom, MS Teams, and G.722-based telephony. Sanas outputs audio at 8 kHz, which can degrade quality in high-bandwidth environments and limit downstream use in QA systems.
• Compatibility and Headset Dependence: Sanas performance appears dependent on specific headsets to avoid secondary voice artifacts. Krisp, by contrast, is hardware-agnostic and built with a robust, production-grade Background Voice Cancellation AI model.

Comparative audio samples

Krisp is a trusted vendor on G2

With over 500 reviews on G2, Krisp consistently excels in enhancing customer interactions for service teams. G2, a trusted platform for software reviews and assessments, showcases Krisp’s exceptional 4.7 rating—earned through the trust and endorsement of hundreds of verified professionals across diverse industries.

Check Krisp’s page on G2 here.

Krisp Voice AI Platform for call centers

Krisp is the only real-time Voice AI platform that covers every stage of the agent experience—before, during, and after the call—within a single, lightweight application. It eliminates the need to juggle multiple tools and services by delivering core capabilities like Noise Cancellation, Accent Conversion, Live Interpretation, real-time agent assist, and post-call summaries in one seamless interface.

Agents with pronounced English accents can benefit from Accent Conversion, which enhances comprehension in calls without altering their original voice. The same agents can handle international calls using Live Interpreter, enabling real-time multilingual conversations across 80+ languages with one click, directly in the Krisp app. This flexibility removes hiring constraints, the need for the standard language line services, and allows teams to scale globally without friction.

During the call, Krisp Agent Copilot provides real-time transcripts, key moment capture, and access to company and industry-specific knowledge via AI Chat, boosting confidence and precision. After the call, automatic summaries and reports help streamline follow-ups and coaching. All of this is centrally managed, with analytics and policy controls available in a unified Admin Portal.

Krisp platform easily integrates with the agent’s desktop to seamlessly work with all CCaaS and calling applications, delivering call quality that translates to much better CSAT and related contact center KPIs.

Conclusion

While both Krisp and Sanas are innovators in the Accent Conversion space, Krisp stands out as the enterprise-ready solution trusted by global contact centers.

Krisp’s Accent Conversion consistently delivers clearer, more natural, and more intelligible speech, with significantly lower accent leakage and superior performance in noisy, real-world environments. Across both subjective human evaluations and objective acoustic metrics, Krisp leads on all critical dimensions—accent conversion, speech clarity, and background noise robustness.

Beyond voice quality, Krisp offers:

• Superior deployment flexibility, working seamlessly across any headset, desktop, or CCaaS platform—no hardware or system limitations.Built-in voice and noise cancellation, tested over 1 trillion minutes, eliminating the need for additional tools or packages.
• Enterprise-grade reliability with SSO, auto-updates, analytics, and remote configuration for admins—essential for scaled contact center rollouts.
• A full Voice AI platform in one app: Live Interpreter, Accent Conversion, Agent Copilot, Auto QA, and real-time knowledge—all integrated with one-click simplicity.

Sanas requires device-specific setups, lacks compatibility in key environments, and struggles with accent consistency and audio fidelity, especially in enterprise use cases.

If your goal is to scale globally, serve diverse customers, and ensure your agents are clearly understood — Krisp is the clear choice for Accent Conversion that works, performs, and scales.

The post Krisp vs Sanas: Accent Conversion Comparison appeared first on Krisp.

Krisp’s AI Accent Conversion v3 refines clarity while maintaining tone, personality, and intonation. This advancement helps global contact centers improve customer satisfaction, sales conversions, and agent confidence by reducing misunderstandings and bias in voice interactions.

When enabled, AI Accent Conversion modifies the speaker’s accent in real time with just 200ms of processing latency—an imperceptible delay in conversations.

Patented AI Accent Conversion Technology, Built for Real-World CX

Krisp’s newly awarded patents enable highly natural, real-time accent conversion while preserving voice identity. These breakthroughs power Krisp’s ability to deliver on-device, real-time accent clarity without requiring complex IT infrastructure.

Accent barriers have long created friction in global contact centers, leading to miscommunication, increased call handle times, and hiring limitations. Krisp’s patented technology solves these challenges by instantly improving speech clarity while preserving a speaker’s unique voice—making conversations more natural and bias-free.

“AI Accent Conversion is ushering a new era in voice AI,” said Davit Baghdasaryan, CEO of Krisp. “We’re raising the bar for how AI enhances communication, ensuring contact centers can hire agents based on talent, not language, and empowering global teams to connect with customers better than ever before.”

Proven Impact: arrivia Case Study

Leading travel company arrivia implemented AI Accent Conversion to improve customer-agent communication and saw:

• 99% increase in NPS
• 26.1% boost in sales conversions
• 14.8% increase in revenue per booking
• 4.4% reduction in call handle time

“Krisp creates wins for our customers, company, and team members,” said Travis Markel, COO of arrivia. “It enables higher-quality interactions, unlocks new opportunities for our agents, and drives real productivity gains. Arrivia benefits from delivering service that exceeds expectations while strengthening connections between our global team and the customers we serve. Our partnership with Krisp has truly elevated our ability to deliver exceptional value.”

AI Accent Conversion v3 is available now and works seamlessly with all UCaaS and CCaaS platforms. 

For more information, visit https://krisp.ai/accent-conversion/ 

The post Krisp Launches Patented AI Accent Conversion v3, Setting a New Standard in Accent Technology appeared first on Krisp.

We’re excited to announce the launch of v3 of Accent Conversion technology, a major technical advancement in Krisp’s voice AI stack. This version delivers significant improvements in voice naturalness, phoneme-level precision, and speaker adaptation—all while maintaining our commitment to security, scalability, and ease of use.

A leap in performance, now patented

With v3, Krisp’s Accent Conversion has reached a new level of technical sophistication—and is now officially patented. This milestone validates our unique approach to accent transformation: one that preserves speaker identity, operates in real time, and avoids the privacy pitfalls of voice cloning or enrollment-based models.

Accent barriers have long created friction in global contact centers, leading to miscommunication, increased call handle times, and hiring limitations. Krisp’s patented technology instantly solves these challenges, making conversations more natural and bias-free.

“With v3, we’ve dramatically improved one of the toughest challenges in voice AI—adjusting an accent while keeping the speakers voice and natural tone intact,” said Davit Baghdasaryan, CEO and Co-Founder at Krisp. “Now backed by patents, it brings us closer to voice technology that feels human and helps global support teams build stronger connections with customers.”

Hear the difference: v2 vs v3

To make the technical improvements tangible, we’ve created recordings using Indian and Filipino English speakers across the current and previous versions of Accent Conversion.

The leap in quality is clear. Where v2 introduced early gains in clarity, v3 offers a step-change in naturalness—with smoother tone and intonation, fewer sound artifacts, and more accurate voice preservation.

Real-time voice adaptation—no setup required

One of the notable enhancements in v3 is its zero-shot deployment and usage. The technology doesn’t require:

• Voice enrollment by the agents
• User training
• Configuration or tuning

Simply connect your headset, enable Accent Conversion, and start speaking. Voice adaptation is instantaneous and speaker-agnostic—meaning if another person picks up the headset, the system automatically recalibrates in real time, with no drop in quality or smoothness of the flow.

This level of usability sets a new standard for production-ready, plug-and-play technology.

Privacy by design: no voice data stored

Accent Conversion v3 is built with privacy and security at its core.

• No voice embeddings are stored
• No personal voice data is saved on-device or in the cloud
• All processing happens on the spot, in real time

This design not only simplifies compliance with all the stringent security protocols—it also eliminates security concerns related to voiceprints or long-term data storage.

Phoneme-level precision and naturalness

From a technical standpoint, v3 introduces marked improvements across core speech processing components, including:

• Finer phoneme-to-phoneme mapping
• Improved prosodic modeling
• Substantially reduced roboticness and speech artifacts
• Greater emotional and inflectional nuance retention

As a result, agents sound more human, more authentic, and much easier to understand—especially in high-stakes communication environments like customer support, where comprehension and clarity are non-negotiable.

Compared to v2, v3 demonstrates:

• Significant gains in intelligibility
• Sharper articulation of consonants and vowels
• A more fluid and natural speech cadence

A global roadmap ahead

Accent Conversion v3 currently supports a growing list of accents, with new geographies on the horizon. Our roadmap includes:

• Latin American English accent pack
• South African English accent pack
• Conversion to regional U.S. English accents

Our goal is to support truly global teams with technology that adapts to real-world linguistic diversity—while retaining technical performance and security across all environments.

Accent Conversion v3 is now available for integration into your Krisp-powered workflows.

Check out more here: https://krisp.ai/accent-conversion/

The post Krisp AI Accent Conversion v3 appeared first on Krisp.

This article will cover 5 ways this technology enhances call center efficiency, streamlines customer interactions, and improves overall productivity in your operations, helping you achieve smoother communication across the board.

Key Takeaways

• Accent neutralization reduces misunderstandings and creates smoother interactions, leading to higher customer satisfaction and loyalty.
• Agents can onboard faster with less emphasis on accent training, allowing call centers to save time and resources during the training process.
• With clearer communication, agents resolve issues faster, leading to reduced call handling times, fewer escalations, and improved overall efficiency.
• Accent neutralization software enables call centers to hire a diverse workforce and scale globally without communication barriers, improving operational flexibility and efficiency.
• By reducing communication anxiety and improving performance, accent neutralization software boosts agent confidence, lowers stress, and increases job retention.
• Implementing accent neutralization software leads to measurable improvements in productivity, training time, and customer satisfaction, ultimately contributing to a more cost-efficient and high-performing call center.

1. Improved Customer Experience 

Customer experience is a crucial factor for the success of any call center. Clear communication plays a significant role in ensuring smooth interactions between agents and customers; this is where accent-neutralization software makes a substantial difference. 

By reducing the barriers caused by accents, call centers can provide a more seamless customer experience. Here’s how accent neutralization software improves customer interactions:

Using accent neutralization software creates a win-win scenario: agents can communicate with more confidence, and customers receive a higher level of service. Call centers can deliver a consistently better experience by removing communication barriers, leading to increased customer retention and positive word-of-mouth. 

2. Reduced Training Time for New Agents

Training new agents in call centers often involves lengthy sessions focused on communication skills, including accent neutralization and language clarity. However, with accent neutralization software, much of this training time can be significantly reduced, allowing new agents to be ready for live interactions faster. Here’s how it helps cut down on training time:

3. Increased Productivity and Call Resolution Rates 

One of the biggest challenges in call centers is maintaining high productivity while resolving customer issues efficiently. Accent neutralization software plays a vital role in boosting both productivity and call resolution rates by enabling smoother and faster communication. Here’s how it contributes to improved performance:

4. Boost in Global Scalability 

In an increasingly globalized world, call centers are often required to serve customers from different regions, speaking various languages and accents. Accent neutralization software enables call centers to overcome communication barriers, making global scalability more feasible and efficient. 

Here’s how it helps call centers expand their reach:

For example, Krisp’s Accent Conversion solution is designed to help businesses communicate clearly with a diverse, international customer base.

By automatically adjusting accents in real time, Krisp ensures that agents can be easily understood, no matter where they are located or which customer they serve. This powerful technology makes it easier for businesses to deliver consistent service quality across different regions, enhancing global scalability and operational efficiency.

5. Enhanced Agent Confidence and Job Satisfaction 

The success of a call center doesn’t just rely on technology but also the well-being and confidence of its agents. Accent neutralization software contributes to this by improving agents’ communication skills and easing the pressure of handling diverse customer interactions. Here’s how it enhances agent confidence and job satisfaction:

Conclusion 

Accent neutralization software has become a crucial tool for modern call centers, helping improve efficiency and communication on multiple fronts. By reducing misunderstandings, enhancing customer interactions, and accelerating new agent training, this technology allows call centers to operate more smoothly and with greater productivity. 

Its ability to standardize communication across diverse teams ensures global scalability while empowering agents to work confidently, free from the fear of being misunderstood due to their accents. The result is a more inclusive, satisfied workforce and a better customer experience. 

Adopting accent neutralization software, like Krisp’s accent conversion solution, is a strategic investment for businesses seeking to optimize their operations and stay competitive in a globalized market. It streamlines processes and paves the way for more scalable and efficient customer service. 

FAQs

The post 5 Ways Accent Neutralization Software Enhances Call Center Efficiency appeared first on Krisp.