Real-time background-noise removal
Suppresses environmental noise from live audio, including the kinds of sound encountered in cafés, shared offices, streets, trains, and other busy locations.
Clarity 1 is a real-time speech enhancement model for voice agents and call centers. It removes background noise and extracts the primary speaker so downstream speech-to-text, turn detection, and language models receive a cleaner caller or agent voice.
Clarity 1 is a real-time speech enhancement model for live voice interactions. It removes background noise and extracts a primary speaker, suppressing other voices such as café chatter or nearby colleagues so that a voice agent, speech-to-text system, or human listener receives a clearer signal.
The model is designed for voice agents and call centers operating in noisy settings. It processes audio continuously rather than waiting for a completed recording, helping downstream turn detection, transcription, and conversational models focus on the caller or agent instead of the surrounding room.
Clarity 1 processes 240 ms audio chunks and requires about 50 ms for each chunk. Primary-speaker extraction can follow a person using a short reference recording; without one, the system keeps the loudest speaker.
Suppresses environmental noise from live audio, including the kinds of sound encountered in cafés, shared offices, streets, trains, and other busy locations.
Uses a short reference recording to follow the intended person and cut out other voices. If no reference is available, it keeps the loudest speaker.
Processes audio as it arrives instead of waiting for a complete recording, making it suitable for live conversational pipelines.
Provides a single cleaner voice to speech-to-text, turn detection, and the language model behind a voice bot, reducing interference from background talkers.
Processes audio in 240 ms chunks and takes about 50 ms per chunk. In pipelines using 240 ms chunks, the stated added latency is about 50 ms.
The product page offers an interactive experience where users can test Clarity on their own recordings; the page states this is free until October 30.
A voice bot can receive a cleaner caller signal when people call from cafés, streets, trains, shared offices, or other acoustically busy places. This helps keep unrelated speech from reaching transcription and turn detection.
On a busy call-center floor, Clarity 1 can remove nearby colleagues, room noise, and echo from the agent's audio so the remote caller hears the intended speaker more clearly.
When a particular participant must be isolated from other talkers, a short reference recording can tell Clarity 1 which voice to follow.
Teams evaluating speech quality can run their own recordings through the dashboard to compare the processed result with the original audio before discussing a larger rollout or self-hosted deployment.
It removes background noise and suppresses other voices, including chatter and nearby speakers, so the primary voice is easier for a listener or voice system to understand.
A short reference recording can identify the person to follow. Without a reference, Clarity 1 keeps the loudest speaker.
Clarity 1 processes 240 ms chunks and takes about 50 ms for each chunk. If the surrounding turn-detection pipeline also reads 240 ms chunks, the page states that Clarity adds about 50 ms. With smaller input frames, a sound may come out up to 290 ms after it entered, depending on its position in the chunk.
No. It processes audio continuously as it arrives and is intended for live conversations rather than completed recordings.
Yes. The product page says users can sign up and run their own recordings through Clarity in the dashboard, free until October 30. For self-hosted deployment or a larger rollout, it directs users to contact sales.
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