Sesame CSM

Sesame CSM TTS

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

Ku soo biir 5,000 xaraf xaddid

Wrap qoraalka ku SSML tags si loo hubiyo xakamaynta saxda ah:

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

Tags qaabka la doortay fahmo — riix si aad u hoos mid ka mid ah qoraalka aad halkaas oo uu ka dhacaa:

Model this akhriyo qoraalka caadiga ah, sidaas inline tags waa la iska indho tiri. For tag-ku salaysan dareenka, u dhaqaaqo si ay u muujiyaan qaabka sida Orpheus ama Bark.

Define custom pronunciations (word = dhawaaqa):

-12 +12
0.5x 2.0x
Bilaash ah oo leh Piper, VITS, MeloTTS
Your audio soo saaro halkan ka muuqan doonaa. Dooro qaab, ku qor qoraalka, oo guji soo saaro.
Dhaqdhaqaaqa ayaa la soo saaray
0:00
Soo dejisa Soo dejisan.srt Xidhiidhku wuxuu dhamaaday 24h
Free tier: isticmaalka shakhsiga ah. Liisan ganacsi laga bilaabo $ 5 / mo
Jecel TTS.ai? Ka warran saaxiibadaa!

About 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.

Ugu Fiican: AI assistants, chatbots, conversational AI applications

Taabo oo kala soo bax Sesame CSM cod

Eeg

Soo-saarayaasha
Sesame
Liisan
Apache 2.0
Qiyaamaha
premium
Xawaaraha
slow
Duubista Codka
Ha
Afaf
English
Noocyada ugu badan
500

Sesame CSM cod

Speaker 0

English
Premium Neutral

Speaker 1

English
Premium Neutral

Sesame CSM Su'aalaha La Weydiiyo

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.
← Codadka oo dhan