Sesame CSM

Sesame CSM TTS

A 1B conversational speech model that captures natural dialogue timing, turn-taking, and backchannel responses.

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<speak><prosody rate="slow">Slow speech</prosody></speak>

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Informazioni Sesame CSM

Sesame CSM (Conversational Speech Model) is a 1-billion-parameter model from Sesame designed specifically for the rhythms of human conversation. Built on a Llama backbone paired with an audio codec, it models turn-taking timing, backchannel responses (the small acknowledgements people make while listening), emotional reactions, and overall conversational flow. The result reads less like read-aloud text and more like a real spoken exchange. It is a natural fit for AI assistants, chatbots, and conversational interfaces where the goal is speech that feels responsive and human. CSM is released under Apache 2.0, and access on TTS.ai requires a Hugging Face token at the model level.

Meglio per: AI assistants, chatbots, conversational AI applications

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A colpo d'occhio

Sviluppatore
Sesame
Licenza
Apache 2.0
Livello
premium
Velocità
slow
Clonazione vocale
No.
Lingue
English
Caratteri massimi
500

Sesame CSM voci

Speaker 0

English
Premio Neutral

Speaker 1

English
Premio Neutral

Sesame CSM FAQ del TTS

Conversational speech. It models the natural patterns of dialogue — turn-taking timing, backchannel responses, and emotional reactions — so generated audio sounds like a real conversation rather than synthetic narration.

It is a 1-billion-parameter model built on a Llama backbone with an audio codec for waveform generation.

AI assistants, chatbots, and other conversational applications where responsive, human-sounding speech matters more than long-form narration.
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