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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Fritt nivå: personlig bruk. Handelslisens fra $5/mo
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Om 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.

Best for: AI assistants, chatbots, conversational AI applications

Bla gjennom alle Sesame CSM stemmer

Med et blikk

Utvikler
Sesame
Lisens
Apache 2.0
Nivå
premium
Hastighet
slow
Stemmekloning
Nei
Språk
English
Største antall tegn
500

Sesame CSM stemmer

Speaker 0

English
Premie Neutral

Speaker 1

English
Premie Neutral

Sesame CSM TTS — OSS

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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