Krisp Launches Listener-Side Accent Conversion for Meetings, CX and Voice AI Agents

Krisp has introduced Listener-side Accent Conversion, a real-time, voice artificial intelligence technology to improve how accented English is understood in live conversations. The system operates on-device in real time and is built to support human collaboration, customer experience operations, and voice AI agents.

Instead of modifying how a speaker talks, Krisp's Listener-side Accent Conversion adapts incoming speech for the listener in real time, clarifying commonly misheard sounds while preserving the speaker's natural voice and tone. Only the listener hears the adapted audio.

"I've spent more than 20 years working in tech with an Armenian accent. I know what it feels like to repeat yourself on a call or to see someone concentrating on your pronunciation instead of your idea. Over time, that changes how freely people speak. We built Accent Conversion because communication should be about ideas, not decoding speech. If technology can remove that barrier in real time, conversations become clearer and more equal for everyone involved," said Arto Minasyan, co-founder and president of Krisp, in a statement.

"In contact centers and AI systems, the strain isn't abstract. Agents process multiple accents all day, often in a second language. That adds friction, time, and cognitive load to every interaction. Listener-side Accent Conversion addresses the problem at the point where speech is received, helping both humans and AI systems operate more reliably without asking anyone to change how they speak," said Davit Baghdasaryan, co-founder and CEO of Krisp, in a statement.

Listener-side Accent Conversion is generally available for human-to-human meetings through Krisp's Voice AI for Meetings application. The same listener-side modeling is being integrated into Krisp's Call Center AI platform, where it enhances what agents hear during live customer calls. The technology will also be available through the Krisp SDK, enabling developers to embed the capability directly into their applications and voice AI agents.

Krisp's models are trained across diverse English accents and delivers the strongest results across Indian, Filipino, Latin American, African, and Chinese-Mandarin accents, while improving comprehension across many others. Accent coverage continues to expand.