kyutai-labs/delayed-streams-modeling

• hightopics#1

  Add relevant topics to the repository

  Why:

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  speech-to-text, text-to-speech, stt, tts, real-time, streaming, low-latency, deep-learning, pytorch, kyutai

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• highreadme#2

  Clarify the README's opening statement to emphasize STT/TTS models

  Why:

  CURRENT

  # Delayed Streams Modeling: Kyutai STT & TTS
  
  This repo contains instructions and examples of how to run [Kyutai Speech-To-Text](#kyutai-speech-to-text) and [Kyutai Text-To-Speech](#kyutai-text-to-speech) models.
  See also Unmute, a voice AI system built using Kyutai STT and Kyutai TTS.
  
  But wait, what is "Delayed Streams Modeling"? It is a technique for solving many streaming X-to-Y tasks (with X, Y in `{speech, text}`)
  that formalize the approach we had with Moshi and Hibiki. See our pre-print about DSM.

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  # Delayed Streams Modeling: Kyutai STT & TTS
  
  This repository showcases Kyutai's advanced Speech-To-Text (STT) and Text-To-Speech (TTS) models, which are built using our innovative Delayed Streams Modeling (DSM) framework. DSM is a powerful technique for solving various streaming X-to-Y tasks (with X, Y in `{speech, text}`), formalizing approaches seen in projects like Moshi and Hibiki. Here you will find comprehensive instructions and examples for deploying and running these models, including those powering the Unmute voice AI system.

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• mediumhomepage#3

  Add a homepage URL to the repository

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  https://huggingface.co/collections/kyutai/speech-to-text-685403682cf8a23ab9466886

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  What are the best open-source models for real-time streaming speech-to-text with low latency?

  you: not recommended
  AI recommended (in order):

  1. NVIDIA NeMo
  2. Whisper
  3. Kaldi
  4. Mozilla DeepSpeech
  5. Hugging Face Transformers
  6. SpeechBrain

  AI recommended 6 alternatives but never named kyutai-labs/delayed-streams-modeling. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  How to implement an efficient speech recognition system that provides word-level timestamps?

  you: not recommended
  AI recommended (in order):

  1. OpenAI Whisper (openai/whisper)
  2. Google Cloud Speech-to-Text
  3. AssemblyAI
  4. AWS Transcribe
  5. Mozilla DeepSpeech (mozilla/DeepSpeech)
  6. Montreal Forced Aligner (MFA) (MontrealCorpusTools/Montreal-Forced-Aligner)
  7. Picovoice Rhino Speech-to-Text
  8. Kaldi (kaldi-asr/kaldi)

  AI recommended 8 alternatives but never named kyutai-labs/delayed-streams-modeling. This is the gap to close.

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• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of kyutai-labs/delayed-streams-modeling?

  pass
  ⚠AI did not name kyutai-labs/delayed-streams-modeling — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts kyutai-labs/delayed-streams-modeling in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named kyutai-labs/delayed-streams-modeling explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo kyutai-labs/delayed-streams-modeling solve, and who is the primary audience?

  pass
  ⚠AI did not name kyutai-labs/delayed-streams-modeling — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?