Sesame CSM TTS
A 1B conversational speech model that captures natural dialogue timing, turn-taking, and backchannel responses.
Metini SSML taglarda dolap dogry kontrol üçin:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Saýlanan model aňlaýan taglar — birini metinde goýmak üçin basyň:
Bu model ýönekeý metin okaýar, şonuň üçin hatda taglar gözden düşürilýär. Tag-based emotions for, switch to an expression model like Orpheus or Bark.
Öz sözleriň terjimesini belli et (söz = terjime):
Habar 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.
Muňa iň gowy: AI assistants, chatbots, conversational AI applications
Ehlini _Gözle Sesame CSM seslerBir seretseň
- Developer
- Sesame
- Lisenziýa
- Apache 2.0
- _Göçür
- premium
- Tizlik
- slow
- Ses klonlamak
- _Ýok
- Diller
- English
- Maks. karakterler
- 500