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/

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Today, we’re excited to announce that the Filipino accent pack is now upgraded to v3.7.

Key Improvements in Filipino v3.7

Through rigorous testing and customer feedback, v3.7 shows clear gains over v3.5 across all major dimensions:

• Naturalness: Converted speech is significantly more human-like and conversational. Crowdsourced model comparisons demonstrated a 32% stronger preference for v3.7 over the previous version.
• Pronunciation Accuracy: Enhanced phoneme pronunciation and intelligibility, with a ~9.31% relative improvement in Phoneme Error Rate (PER) on customer datasets. This improvement is largely driven by incorporating more conversational data during training. Accent-specific gains include more native-like articulation of consonants such as “t,” “p,” and “r.”
• Voice Stability: Greater consistency in pitch and tone throughout speech, reducing unnatural fluctuations. This contributes directly to more natural and stable-sounding output.
• Speech & Audio Clarity: Clearer audio with fewer artifacts and distortions, particularly in cases of slurred or mumbled speech. Crowdsourced model comparisons showed a 37% stronger preference for v3.7 in terms of overall clarity and intelligibility.

Evaluation Results

For subjective and objective evaluations, 57 real-world recordings were sampled.

For the crowdsourced evaluation, each recording received exactly 40 independent votes to ensure statistical confidence, 2280 total votes.

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

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.

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You’d have Zoom open in one window, your notes app in another, and your agenda in a third. Every time you switched screens, you risked missing something important.

Companion Mode Fixes That

Krisp Companion Mode creates a dedicated meeting space right inside Krisp. It’s your calm center, where you can see your agenda, capture personal notes, track recordings, and manage controls without leaving the conversation.

Now, it also helps you follow every word with Live Transcription in 16 languages. This helps you stay fully engaged and never miss a detail.

What You Can Do Today That You Couldn’t Before

• Manage everything in one view: Your agenda, personal notes, transcription, and controls now live in a single panel.
• Stay focused: Companion Mode launches automatically when you join a meeting or start recording.
• Take better notes: Jot down insights in real time while Krisp captures the full transcript. Add personal context that AI alone can’t.
• Follow every word: Turn on Live Transcription with the CC button, choose your language, and see the conversation unfold as it happens.
• Jump back into calls instantly: A Meeting in Progress banner keeps you one click away from active meetings.
• You + AI = Better Together: After the meeting, Krisp enhances your notes with AI-generated summaries, making follow-ups effortless.

(Live Transcription available for Pro and Business users.)

How It Changes Your Workflow

Here’s how most people manage calls today:

• Open Zoom or Google Meet
• Open notes in a separate app
• Switch tabs to find the agenda
• Miss key discussion points in the process

With Companion Mode:

• Join the meeting directly from Krisp
• See your agenda, notes, transcription, and controls in one panel
• Capture insights live and review AI summaries after

The result: less stress, better focus, and nothing missed.

The post Introducing Krisp Companion Mode: Stay Present in Every Meeting appeared first on Krisp.

With Krisp Desktop 2.0, that’s over. The dashboard you knew is now a full-featured control center. Join calls, manage recordings, mute background noise, review your agenda, and start in-person sessions

What You Can Do Today That You Couldn’t Before

• Control your meetings in one place: Start recordings, mute noise, send the AI note-taker bot, and join meetings without leaving Krisp.
• Join calls instantly: The Active Call Banner keeps you one click away from recording, managing, or rejoining meetings.
• Stay organized: Switch to collapsed mode for a minimal view when you want fewer distractions.
• Access your agenda effortlessly: Your upcoming calls are right inside Krisp. Join directly or start an in-person session instantly.
• Resize your workspace: Make Krisp as big or compact as you want. The dashboard adapts seamlessly.

How It Changes Your Workflow

Let’s say you have three calls back-to-back:

Before Desktop 2.0:

• Check your calendar for the meeting link
• Open Zoom or Teams
• Switch to Krisp to enable noise cancellation
• Open notes in another app

With Desktop 2.0:

• Open Krisp Desktop
• Join the meeting from your Upcoming (previously agenda) page
• Jump in from a notification Krisp sends when your meeting starts
• Noise cancellation starts automatically
• Manage recordings, notes, and controls right from the same screen

One app. One flow. More focus.

The post Your New Meeting Control Center: Krisp Desktop 2.0 appeared first on Krisp.

Recently, Sanas filed a lawsuit against Krisp. While we prefer to compete in the marketplace, we will not let this attempt to distort the facts and assail our reputation go unanswered.

Let’s set the record straight.

1. The 2022 Sanas meetings went nowhere — and for good reason.

Krisp met with Sanas under NDA in 2022, but those discussions were brief and unproductive. Sanas demonstrated an early version of its product, which lacked maturity and failed to meet our expectations. The company was vague, unresponsive to basic technical questions, and did not share any information that could remotely be considered a trade secret. Ultimately, there was no trust or alignment — and no basis for collaboration.

2. We walked away, citing product limitations and a lack of alignment.

Based on Sanas’s demonstration of the technology our conclusion was that Sanas’ technology had very limited technical capabilities and obvious drawbacks. We made a clear decision not to move forward with Sanas. Our reasons were straightforward: we saw limited technology performance and integration visibility, and misalignment in business communication from Sanas.

These factors made clear that a partnership with Sanas would not meet Krisp’s standards or goals.

3. We built something fundamentally better.

Accent conversion has always been part of Krisp’s technology roadmap. With no viable market alternative, Krisp’s world-class Voice AI team drew on its pioneering work in noise cancellation, background-voice isolation, emotion conversion, and other proprietary technologies to create a best-in-class accent conversion technology.

We place a strong focus on solving the accent conversion problem offline with high fidelity and close retention of the original voice of the speaker. Once this version of the problem is settled, a new architecture, specifically designed for low-CPU footprint and real-time application, performs accent conversion, based, among other things, on the solution of the offline problem.  A key component in the design of this architecture is the ability of retaining acoustic details of the input, allowing smooth and natural flow of the converted voice. Our design does not rely on specialized alignment modules, which are key components in Sanas’s patents. This critical difference is the key reason Krisp outperforms Sanas.

We didn’t use Sanas’ technology — we far surpassed it.  And now, as part of its lawsuit, Sanas is trying to claim rights to Krisp’s technology, which Krisp independently developed and secured at great cost and effort.  While Sanas would certainly benefit from copying Krisp’s technology, its efforts to forcibly take Krisp’s patent rights are completely baseless.

Moving forward.

The lawsuit has no impact on our operations, product roadmap, or customer commitments. It’s business as usual at Krisp. We will vigorously defend our innovations and set the record straight through the legal process.

Thank you for your continued trust in Krisp. We’ll continue to share updates here as the case develops.

The post Krisp Statement on Sanas Lawsuit appeared first on Krisp.

Call quality isn’t just about how clearly the agent speaks — it’s also about how clearly the agent can hear. In contact centers, where efficiency and accuracy drive performance, background noise from the customer side can have a major impact on agent productivity and experience. Customers often call in from noisy environments — traffic, households, public spaces — introducing acoustic clutter that leads to repetition, frustration, and longer handle times.

Traditional noise cancellation solutions have focused primarily on the outbound audio channel, removing noise from the agent’s side before it reaches the customer. But that only solves half the problem. Inbound noise cancellation — removing distractions from the customer side before it reaches the agent or the AI — is often just as important.

At Krisp, we’ve long recognized the importance of customer-side audio cleanup, and we’ve been solving it at scale for years. Our vision for inbound noise cancellation as a key enabler for better agent experiences is detailed in this article, where we highlight how noisy customer audio affects handle times, comprehension, and overall call quality.

Today, Krisp’s mature, production-grade inbound noise cancellation models power real-world applications:

• Krisp AI Meeting Assistant — deployed for years in Krisp’s desktop app, helping professionals clearly hear their remote counterparts during online meetings — even when the other side is calling from a noisy café, home, or airport.
• Krisp AI Contact Center — used by BPOs and customer support teams to clean up customer voices in live calls, boosting agent comprehension.
• Krisp SDK — starting in March 2025, Krisp’s inbound Noise and Voice Cancellation technology became available through our SDKs for seamless integration with server-side, real-time voice AI systems. Today, Krisp powers some of the largest production Voice Bots, helping them solve critical challenges like turn-taking accuracy, background noise robustness, and ASR performance in real-world environments.

Sanas entered the market with an outbound noise cancellation solution, generally available in August, 2024. On May 30, 2025, Sanas announced a new omnidirectional noise cancellation model, claiming support for both inbound and outbound audio cleanup, including real-time customer-side voice processing.

Given the importance of inbound noise cancellation, we decided to put this new offering to the test.

Just as we conducted an in-depth comparison of Sanas vs. Krisp for outbound noise cancellation, we ran a technical evaluation of Sanas’s inbound noise cancellation solution against Krisp’s production-grade models, focusing on real-world call center scenarios, voice quality, and effectiveness in handling background speech.

Understanding the Differences Between Inbound and Outbound Noise Cancellation

While both inbound and outbound noise cancellation (NC) aim to improve voice clarity, the conditions they operate under are fundamentally different. Constraints make inbound NC a technically more complex and demanding task, and not all noise cancellation models are designed to handle it effectively.

With these fundamental differences between inbound and outbound noise cancellation in mind, we evaluated how Krisp and Sanas approach the inbound side of the problem.

Operational Differences: Krisp vs. Sanas

While both Krisp and Sanas aim to improve customer voice clarity for agents, their architectural choices, product maturity, and performance under real-world conditions vary significantly.

The table below summarizes the key differences between Krisp’s and Sanas’s inbound noise cancellation solutions based on our analysis.

Note: All observations regarding Sanas’s inbound noise cancellation performance are based on publicly available Sanas version 3.2.72, conducted in July 2025.

Krisp vs. Sanas: In-depth inbound noise cancellation evaluation

In this section, we present a comparative summary of evaluations conducted on Krisp and Sanas inbound noise cancellation technologies. These evaluations reflect real-world usage scenarios and benchmark data commonly produced by enterprise customers and BPOs assessing solution fit and performance.

We cover comparison methodology, present objective evaluation results, crowdsourced subjective evaluation results, and share comparative audio samples.

Evaluation Methodology and Metrics

For quantitative evaluation, we used the POLQA (Perceptual Objective Listening Quality Analysis) metric — an industry-standard objective metric for predicting perceived listening quality. POLQA is suitable for evaluating narrowband and wideband speech affected by noise, compression artifacts, and signal degradation.

We also processed the outputs using Meta’s AudioBox Aesthetics model, which is a reference-free ML-based model quantitatively assessing listening experience and quality of audios. While not a direct replacement for human perception, it adds a complementary viewpoint to our analysis.

In addition to the objective metrics, a subjective crowdsourced evaluation was conducted, where participants were asked to compare anonymized paired audio samples (e.g., Sanas vs. Krisp) and asked, “Which audio sounds more pleasant and clear?”.

Evaluated Models

To ensure a fair comparison, we focused our primary benchmark on single-speaker inbound noise cancellation scenarios, since Sanas’s model appears to perform some level of secondary background speech suppression — suggesting a form of voice isolation. As such, we compared it directly with Krisp’s Background Voice Cancellation (BVC) enabled inbound model, which is also optimized for single-speaker voice isolation.

However, to offer a more comprehensive view of Krisp’s capabilities, we also included Krisp’s multi-speaker inbound model in the evaluation. This demonstrates how Krisp performs in far-field environments such as speakerphones, group calls, where multiple speakers talk from a distance away from the microphone.

this assumption is based on the performance for cases with background speech.

Evaluation Dataset

We created a controlled test dataset by mixing English utterances from the ITU-T P.501 dataset with 24 different real-world background noises at 0dB, 5dB, and 10dB SNR levels. To simulate realistic telephony transmission conditions, we applied common voice codecs — G.729, G.711, and OPUS — before feeding the degraded audio into each model.

Note: Krisp natively produces higher-quality audio at 16kHz sampling rate. For head-to-head comparison, though, we standardized the evaluation pipeline by downsampling Krisp’s output to 8 kHz, matching Sanas’s maximum supported sample rate. This ensured a fair reference test dataset and alignment for POLQA and other narrowband evaluations.

Evaluation Results

The following table summarizes subjective and objective evaluation of Krisp vs. Sanas across key metrics.

Here, the original audio was mixed with various noise types and processed using the Krisp and Sanas models. For a fair comparison, the Krisp model’s output was downsampled to 8 kHz to enable direct comparison with Sanas.

Metric	Type	Krisp	Sanas	Winner
POLQA: Home noise	Objective	3.7/5	3.1/5	Krisp
POLQA: Street noise	Objective	3.7/5	3.1/5	Krisp
POLQA: Cafe noise	Objective	3.8/5	2.9/5	Krisp
POLQA: Distractor noise	Objective	3.8/5	3.3/5	Krisp
Meta Audiobox: Content Enjoyment	Objective	4.7/10	3.8/10	Krisp
Meta Audiobox: Production Quality	Objective	5.2/10	3.9/10	Krisp
Which audio sounds more pleasant and clear? Preferred by (# votes / total responses)	Subjective	704/960	256/960	Krisp

The following sections provide a deeper comparison of Krisp’s inbound models, evaluated at both 8 kHz and 16 kHz output resolutions, highlighting how sampling rate and model specialization impact voice quality, noise suppression, and the listener’s experience.

Objective Evaluation – POLQA

Key Takeaways

1. Krisp krisp-viva-v6-lite model consistently outperforms all other models, delivering the highest POLQA score across all four noise environments.
   • It provides an average improvement of +0.59 POLQA points over Sanas, and +0.38 over Krisp’s model with multi-speaker support.
2. Sanas’s inbound model shows gains over the original noisy audio (avg. +1.48 points), but lags behind Krisp in every scenario:
   • In café noise, krisp-viva-v6-lite is ahead by a very significant +0.87 POLQA points.
   • In distractor noise, where competing speech overlaps with the target voice, the krisp-viva-v6-lite model outperforms Sanas by a significant +0.47 points — highlighting the effectiveness of Krisp’s dedicated voice isolation design.
3. Krisp krisp-nc-i-v8-pro model performs on par with krisp-viva-v6-lite in ambient noise conditions (home, street, café), with <0.2 difference — but drops sharply in distractor noise (scoring 2.53 vs. 3.82 for krisp-viva-v6-lite), confirming it’s not tuned for background voice suppression.

Objective Evaluation – Meta Audiobox Aesthetics

In this evaluation, we compared Krisp’s best-performing inbound model, krisp-viva-v6-lite, at both 8 kHz and 16 kHz output levels, against Sanas’ inbound model, which supports only 8 kHz output. To ensure a fair comparison, we downsampled Krisp’s output to 8 kHz when required.

Note: These objective metrics measure on a 1-10 scale. Even studio-quality recordings with rich prosody and zero background noise typically score just under 9 in our experiments. As such, a delta of 0.3–0.5 points between models represents a meaningful difference in perceived speech quality.

Key Takeaways

1. Krisp krisp-viva-v6-lite model leads in both subjective quality metrics.
   • Krisp at 16 kHz significantly outpaces all other variants — especially Sanas, which trails at 3.79 and 3.94, respectively. This represents a margin of +1.5 to +2.7 points, a substantial gap.
   • Krisp even at 8 kHz, retains its edge. When downsampled to 8 kHz to match Sanas’ max output rate, Krisp still delivers +0.87 higher Content Enjoyment and +1.3 higher Production Quality.
2. Sanas struggles with perceived listening quality
   • Sanas’s lower scores indicate noticeably reduced speech fidelity and listener enjoyment.
   • Sanas’s output actually scores lower than the original audio

Interestingly, Sanas’s inbound noise cancellation output scores lower than the original noisy audio in both metrics — particularly in Production Quality (3.94 vs. 5.04). This can be explained by the fact that while the model removes the background noise, it actually introduces audible artifacts or residual noise, which degrade the overall listening experience. These issues are clearly perceptible in the sample audio, even with low-quality built-in speakers, but especially with USB headsets agents typically use.

Subjective Evaluation – Crowdsourced A/B testing

We processed 24 noisy audio samples using both krisp-viva-v6-lite and sanas-inbound, then submitted them for evaluation.

• Each audio pair was compared 40 times, resulting in a total of 960 votes.
• Listeners were asked: “Which audio sounds more pleasant and clear?”
• For fair comparison, a downsampled 8kHz version of krisp-viva-v6-lite model’s outputs was used for comparison.
• To further eliminate bias, all branding information has been removed from the file name and other metadata.

Here are the results:

krisp-viva-v6-lite – 704 votes

sanas-inbound – 256 votes

Comparative Audios

Pro Tip: For the best listening experience, we recommend using USB or wired headphones to clearly pick up subtle audio artifacts.

Conclusion

Across both objective metrics (like POLQA and Meta Audiobox Aesthetics) and crowdsourced subjective A/B testing, Krisp consistently delivered better speech clarity, fewer audio artifacts, and a more natural listening experience. In fact, Krisp’s model outperformed Sanas in every evaluated scenario, including those with challenging noise types like background speech and telephony degradation.

If you need reliability, voice quality, and real-world performance that scales across your teams and customers — Krisp is the clear and proven choice.

The post Krisp vs. Sanas – Inbound Noise Cancellation Comparison appeared first on Krisp.

BERKELEY, CA, July 16, 2025 — Krisp, the leader in real-time Voice AI technology, today announced the launch of VIVA, its voice isolation AI model and software development kit (SDK) built for Voice AI agents, while achieving 1 billion minutes of monthly Voice AI processing across global deployments. The milestone reinforces Krisp’s position in the industry as a leader in real-time voice isolation and noise cancellation, powering the most advanced voice AI products in the market. It also reflects a growing demand for real-time, low-latency voice infrastructure as voice becomes the dominant mode of human-AI interaction.

VIVA delivers server-side voice isolation by seamlessly integrating into an application’s audio path. It empowers voice AI agents by improving turn-taking, enhancing voice activity detection, and preventing false interruptions, leading to more natural and effective conversations.

Already integrated into Daily, Vodex.ai, Vapi, Ultravox.ai (formerly Fixie.ai), LiveKit, and the world’s largest AI labs, VIVA is driving measurable impact:

• Improving turn-taking accuracy by 3.5x
• Enabling smoother interactions by resulting in 50% fewer dropped calls
• Delivering a strong customer experience with 30% higher customer satisfaction scores (CSAT) 

“When our development team demonstrated Krisp’s capabilities, we were blown away. Seeing our bot continue uninterrupted, even amidst loud office noise, was a game-changer for us,” said Kumar Saurav, CTO of Vodex. “It felt like a whole new level of innovation.”

“Reaching this volume of processed audio is a reflection of how broadly integrated Krisp’s Voice AI technology has become,” said Davit Baghdasaryan, CEO and Co-Founder of Krisp. “As voice agents take center stage, clarity is non-negotiable. VIVA delivers the voice isolation backbone these systems need to operate reliably and conversationally in the real world.”

Built for high-throughput, low-latency environments, VIVA processes billions of audio requests each month, enabling developers to build more responsive and natural AI agents, from customer support to virtual companions.

To learn more about VIVA, visit https://krisp.ai/developers/#technologies

The post Krisp Launches VIVA SDK and Surpasses 1B Minutes of Voice AI Processing per Month Milestone appeared first on Krisp.

Today’s contact center teams are under increasing pressure to deliver high-quality interactions while balancing complex customer expectations, rapid automation, and shrinking margins. With access to a single streamlined platform, Krisp empowers agents with the tools to work faster, speak clearly, and support customers worldwide without losing the human touch or compromising on security, latency, or voice quality. The platform also provides access to Krisp’s best-in-class noise cancellation engine and voice isolation while backed by enterprise-grade security, privacy, and scalability.

“We’re not launching a product, we’re launching a new standard,” said Davit Baghdasaryan, CEO and Co-Founder at Krisp. “This platform goes beyond another AI tool used in contact centers. Krisp is transforming human agent performance in contact centers by empowering agents with the technology to overcome key barriers to high-quality service. With the best real-time voice AI tech in the world, support for global teams, and a price point no one can match, this is how contact centers move forward.”

Platform users will also gain access to Krisp’s latest AI Accent Conversion updates, which now support five Latin American English accents that represent approximately 85% of Spanish speakers across the major dialect groups in Latin America, including Mexican and Central American, Caribbean Spanish, and Andean Spanish/Neutral Standard Spanish. 

The new Voice AI Platform provides access to the following features with recent updates:

• AI Accent Conversion v3.5: Support for three accent packs, including Latin American English (new), Indian English, and Filipino English, with its latest model, v3.5, delivering industry-leading phoneme precision, voice clarity, and natural-sounding speech.
• AI Live Interpreter: Bidirectional speech-to-speech translation for 80+ languages, with real-time bi-lingual transcription shown to the agent for more productive conversation handling.
• AI Agent Assist: Full call lifecycle, AI-powered Knowledge Chat with answers based on call context and centralized knowledge base for agents, and after-call summaries with follow-up actions, call statistics, and performance feedback.
• AI Noise Cancellation: Bidirectional background voice and noise cancellation for unmatched call clarity on both sides of the call.

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

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 80 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. 

Media Contact

Molly Leahy

krispPR@walkersands.com

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