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Sesame CSM TTS

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

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Àwọn Ìṣàmúlò-ètò (Àwọn Àwọn Àkọ́kọ́ Àwọn Àkọ́kọ́ Àwọn Àkọ́kọ́)

Fi àkọlé rẹ pamọ́ sí àwọn àmì-ìwé SSML fún ìdáràn:

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

Àwọn Àmì-ìwé Ìjánu-ìró / Ìyárà

Àwọn Àmì-ìwé tí àwọn ìṣàmúlò-ètò tí a yàn gbọ́ - tẹ̀ láti fi ọkan sínú àkọ́lé rẹ̀ nínú àwọn ààyè-iṣẹ́ tí o bá jẹ́:

Àwọn Àwọn Àkọlé

Àwọn àwọn ìṣàfarawé àwọn àwọn ìṣàfarawé àwọn (ọrọ = ìṣàfàlì):

Ìjánu-ìsún 0

-12 +12

Àwọn ìṣàmúlò-ètò

Àwọn àmì-ìwé

Àwọn

Ìgúnrégé àwọn ààtòjọ-ẹ̀yàn

Ìjánu-ìṣàmúlò-ètò 1.0x

0.5x 2.0x

Free pẹlu Piper, VITS, MeloTTS

Àwọn àwòrán tí o ti ṣẹ̀dà tí o bá han níbẹ̀. Yan àwọn àwòrán, tẹ̀lẹ̀ àkọlé, ki o si tẹ̀ Ṣẹ̀dà.

Ààyè-iṣẹ́ 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.

Tí o dara jù fún: AI assistants, chatbots, conversational AI applications

Wá Gbogbo àwòrán Sesame CSM Àwọn àwòrán

Nínú àwọn ìṣàfarawé

Àwọn Àkọlé: Sesame
Àwọn Ààyè-iṣẹ́: Apache 2.0
Àwọn àwọn ààyè-iṣẹ́: premium
Ìjánu-ìṣàmúlò-ètò: slow
Ìṣàfarawé àwọn àmì-ìwé: Àwọn àwọn àgbéwọlé
Àwọn: English
Àwọn àyọkà ìpele: 500

Sesame CSM Àwọn àwòrán

Speaker 0

English

Àwọn ìṣàmúlò-ètò Neutral

Speaker 1

English

Àwọn ìṣàmúlò-ètò Neutral

Sesame CSM Àwọn Àtòjọ-ẹ̀yàn

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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Sesame CSM TTS

O fẹ́ TTS.ai? Fì sọ̀kalẹ̀ fún àwọn ọrẹ̀ rẹ̀!

Ààyè-iṣẹ́ Sesame CSM

Nínú àwọn ìṣàfarawé

Sesame CSM Àwọn àwòrán

Speaker 0

Speaker 1

Sesame CSM Àwọn Àtòjọ-ẹ̀yàn

What is Sesame CSM optimized for?

How large is the Sesame CSM model?

What is Sesame CSM best used for?