Unmute
The voice interaction project Unmute launched by Kyutai is officially described as "enabling large language models to listen and speak", with the goal of endowing LLMs with real-time auditory and speech capabilities; its official website is a dynamically loaded page with limited publicly visible details.
Updated: 2026-10-26
What is Unmute?
Unmute is a voice project launched by Kyutai. Its official website has only one sentence for self-introduction: "Make LLMs listen and speak" — enabling large language models to both understand what users say and respond with voice. For teams already using large language models, this means they can directly add a "voice conversation" capability without having to piece together the three-step process of "speech-to-text, text generation, and then text-to-speech". It should be noted that the official website is a purely front-end dynamically loaded page, and the visible text captured only includes the title and this sentence. The model specifications, interface forms and prices are not in the visible content, so only the parts explicitly expressed by the official are written below.
Who is it for?
- Developers who want to add real-time voice conversation capabilities to their own LLM applications.
- Teams developing voice assistants, oral practice tools, or voice customer service products can take it as a candidate solution for technical research during the selection phase.
- Researchers focused on end-to-end speech models and sensitive to interaction latency and interruption experience.
- A person in charge who is evaluating whether to replace the existing "transcription + synthesis" solution architecture.
Key features
5Enable LLM to hear
The official description emphasizes "listen", which means connecting voice input to the large language model, allowing users to speak instead of typing to interact.
Enable LLMs to speak
The official description emphasizes "speak", meaning the model responds with voice output instead of just returning text. The specific tone quality and latency performance are not provided in the visible information on the official website.
End-to-end voice conversation positioning
The process from "listening" to "speaking" is described within a single product, differing from the segmented assembly approach of speech-to-text plus text-to-speech.
The only product statement taken from the official website
Besides the title and this slogan, the visible text contains no feature lists, parameter metrics, or customer cases, and no additional speculations will be made in this article.
Developed by Kyutai
The official website is titled "Unmute by Kyutai", and the project is released by Kyutai, a research institution. For more technical background, please refer to official public materials.
How to use Unmute
- The official website is a dynamically rendered page.
- It is recommended to directly open unmute.sh in a browser to view the demos and technical documentation.
- The statically crawled content is insufficient to judge the details.
- The model weights, open-source license and interface method shall be subject to the official repository and documentation.
- be sure to confirm the scope of permission before commercial use.
- If you plan to integrate your own LLM, first test the response latency and interruption performance with a small number of real conversation samples before deciding to delve deeper.
- When evaluating, check at least four points: whether it can be interrupted naturally, whether the tone is stiff, the recognition stability in noisy environments, and speaker differentiation in multi-person scenarios.
- When recording user audio, pay attention to compliance requirements related to collection notification, storage duration and voiceprints, especially before using conversation data for further training.
- Conduct a trial run in an internal Demo or non-core scenario first, confirm that the interaction experience meets the standards, and then integrate it into the official user-facing functions.
- The official capabilities and terms may be adjusted.
- recheck the official website description before formal selection or integration.
Traffic & popularity
Data month Sep 2026
Unmute receives about 1.8K visits per month and ranks #10,874,176 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct39.6%
- Search33.1%
- Referrals10.5%
- Social6.3%
- Mail3.4%
- Other7.1%
Top countries
- United States63.2%
- India18.2%
- Nigeria11.1%
- France5.3%
- Spain2.3%
Estimated from third-party traffic data.
Similar tools
Sonic-3Cartesia's real-time speech synthesis model, officially claimed as the first with an audio package below 90 milliseconds, a single model covering 44 languages, supporting voice cloning and custom pronunciation dictionaries, is mainly targeted at the voice Agent scenario.
SayItOpen-source voice input tool for Windows: Press the shortcut key and speak, then the AI removes filler words and organizes the content according to custom prompt words, directly inputting it into Claude Code, Codex, Kiro, or any inputable area.
SoundHound AIEnterprise-level conversational voice agent platform, based on self-developed OASYS to orchestrate voice agents for customer service, operation, e-commerce and in-vehicle scenarios, supporting guardrails, handover to human agents and omni-channel deployment, suitable for call centers and chain brands to perform telephone diversion.
Bland AIEnterprise-level voice intelligent agent platform: build AI agents that can make and receive calls using self-developed models. During calls, they can check accounts, verify identities and modify bills. The official website states that it has compliance qualifications such as HIPAA.
FineShare FineVoiceOnline AI voice workstation, supporting text-to-speech, voice cloning in about 30 seconds, voice changing and sound effect generation, covering 154 languages, allowing export of watermark-free dubbing, suitable for short video voiceovers, online course recording and multilingual localization.
SuperWhisperSuperWhisper is a cross-platform speech dictation tool. You can speak in any application to get polished text. It supports over 100 languages, offline transcription and automatic meeting recording, and is suitable for writing, programming and daily office input.