Real-time noise removal
Removes environmental noise from live call audio, including sounds associated with cafés, streets, trains, and other busy locations.
Clarity
Clarity is KugelAudio’s real-time speech enhancement model for live calls. It removes background noise and competing voices, helping voice agents, speech-to-text, and turn detection focus on the primary caller or speaker.
Real-time speech enhancement for live calls
Clarity is a real-time speech enhancement model from KugelAudio for live calls and voice-agent pipelines. It combines background-noise removal with primary speaker extraction, leaving a cleaner voice signal for whoever handles the audio, whether that is a person or an automated system.
The product is intended for calls made from noisy or shared environments such as cafés, streets, trains, and call-center floors. For voice bots, the cleaned signal is passed to speech-to-text, turn detection, and the language model so those components can focus on the caller instead of surrounding speech and noise.
Capabilities
Primary speaker extraction
Uses a short reference recording to follow a chosen person and cut out other voices. Without a reference, it retains the loudest speaker.
Streaming processing
Processes audio continuously in 240 ms chunks instead of waiting for a completed recording, supporting live conversational workflows.
Voice-agent audio cleanup
Supplies a cleaner single-speaker signal to speech-to-text, turn detection, and the language model used by a voice bot.
Documented latency profile
The product page reports about 50 ms of processing time per 240 ms chunk; when a pipeline already uses 240 ms chunks, the stated added latency is about 50 ms.
Agent-side speech enhancement
The page describes removal of background noise, echo, and nearby colleagues' voices while enhancing an agent's voice on busy call-center floors.
Use cases
Voice agents in noisy locations
Clean caller audio before speech-to-text and turn detection so nearby conversations are less likely to enter transcripts or interrupt the bot's response cycle.
Mobile and public-place calls
Improve the signal reaching an automated agent when people call from cafés, streets, trains, or other environments with competing noise and speech.
Call-center agent audio
Reduce background noise, echo, and nearby colleagues' voices on a busy floor so the agent's speech is easier for the other caller to hear.
Audio evaluation and rollout testing
Process a team's own caller recordings in the dashboard to assess how Clarity handles the acoustic conditions of their conversations before a broader rollout.
Pros and Cons
Pros
- Combines noise removal and primary speaker extraction in one real-time processing step.
- Designed for continuous live audio rather than completed recordings.
- Can provide cleaner input for speech-to-text and turn detection in voice-agent workflows.
- The product page reports benchmark results for target-speaker quality and noise removal, with Clarity listed as the best result in the displayed comparisons.
Cons
- The source describes a reference recording workflow for selecting a speaker, while behavior without a reference defaults to retaining the loudest speaker.
- Clarity's documented processing adds about 50 ms per 240 ms chunk in compatible pipelines; smaller input frames can result in output arriving up to 290 ms after input.
- The available source does not specify supported APIs, audio formats, integrations, deployment requirements, or Clarity-specific pricing.
FAQ
Does Clarity work with live audio streams?
Clarity processes audio continuously as it arrives rather than waiting for a completed recording, making it intended for live conversations.
How much latency does Clarity add?
Clarity processes audio in 240 ms chunks and needs about 50 ms for each chunk. When turn detection already uses 240 ms chunks, the stated added latency is about 50 ms. With smaller input frames, audio may emerge up to 290 ms after input, depending on its position in the chunk.
How does Clarity select the speaker to preserve?
Primary speaker extraction uses a short reference recording of the person to follow and removes other voices. Without a reference recording, Clarity keeps the loudest speaker.
Can Clarity help a voice bot understand callers?
Yes. Clarity provides one cleaner caller voice to speech-to-text, turn detection, and the language model behind a voice bot, reducing the chance that background talkers appear in transcripts or trigger turn detection.
Can I test Clarity with my own audio?
Users can sign up and process their own recordings in the dashboard free until October 30th, according to the source page. Self-hosted deployment or a larger rollout requires contacting KugelAudio; the page does not provide further setup or pricing details.
Quick Facts
- Category
- Real-time speech enhancement
- Primary users
- Voice-agent teams and call centers
- Core input
- Live call audio; a short speaker reference can be used for speaker selection
- Processing
- Continuous streaming in 240 ms chunks
- Reported processing time
- About 50 ms per 240 ms chunk
- Trial workflow
- Dashboard testing with your own recordings is offered free until October 30th, according to the source page
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