Sesame CSM TTS
A 1B conversational speech model that captures natural dialogue timing, turn-taking, and backchannel responses.
Ajusta el text a les etiquetes SSML per al control precís:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Etiquetes del model seleccionat entenen el clic show clic per a deixar- ne un al text a on succeeix:
Aquest model llegeix text pla, així que les etiquetes inserides s' ignoren. Per a emocions basades en etiquetes, canvieu a un model expressiu com Orfeus o Bark.
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Quant a 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.
Millor per: AI assistants, chatbots, conversational AI applications
Navega- ho tot Sesame CSM veusEn una mirada
- Desenvolupador
- Sesame
- Llicència
- Apache 2.0
- TierCity name (optional, probably does not need a translation)
- premium
- Velocitat
- slow
- clonació de veu
- No
- Idiomes
- English
- Nombre màxim de caràcters
- 500