Sesame CSM

Sesame CSM TTS

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

Jijjiirama 5,000 character limit

Daangeessii kitaaba keessan keessaa tag SSML akka itti fayyadamtan:

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

Tag'oota mo'ellaa filatamee beekuu - cuqaasi akka tokkotti galchiin gara teekstaatti yoo ta'e:

Mo'ellaan kun kitaaba salphaa baraa, kan akka taggaa inniin linjii hin beekkamne. Akka taggaa-based emooshiniitti, mo'ellaa akka Orpheus ykn Bark.

Haalli fuula

-12 +12
0.5x 2.0x
Birrii fi Piper, VITS, MeloTTS
Oduu kee kan uumame yooka'u yooka'u. Suuraa moolaa, galchi kitaaba, fi bu'u Jijjiira.
Audion itti fufuu
0:00
Fuula Oduu Fuula Liqii dhumaa 24 sa'a keessatti
Tarree hin-ga'iin: fayyadama namaatiif. Liiziinii Kominikeeshinii irraa $5/mo
TTS.ai jaallatan? Sochii keessanitti hiika!

Fuulaa 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.

Fakkeenyaaf: AI assistants, chatbots, conversational AI applications

Fuulaa Sesame CSM Dhaamsa

Akkasumas

Deebi'aa
Sesame
Lizenz
Apache 2.0
Daandiin
premium
Jijjiiramni
slow
Dhaabbilee
Haata'u
Afaan Oromoo
English
Akkasumas
500

Sesame CSM Dhaamsa

Speaker 0

English
Premium Neutral

Speaker 1

English
Premium Neutral

Sesame CSM TTS — FAQ

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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