Sesame CSM

Sesame CSM TTS

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

Skráðu þig inn fyrir 5.000 stafa takmörk

Wrap texta í SSML tags fyrir nákvæma stjórn:

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

Merki sem valið líkan skilur — smelltu til að sleppa einu í textann þinn þar sem það gerist:

Þetta líkan les venjulegan texta, þannig að innlínumerki eru hunsuð. Fyrir merki sem byggja á tilfinningum, skiptu yfir í tjáningarlíkan eins og Orpheus eða Bark.

Skilgreindu sérsniðna framburð (orð = framburð):

-12 +12
0.5x 2.0x
Frjáls með Piper, VITS, MeloTTS
Hljóðskráin þín birtist hér. Veldu líkan, sláðu inn texta og smelltu á Búa til.
Hljóð búið til
0:00
Sækja hljóð Sækja.srt Tengill rennur út eftir 24 klst
Frjáls tier: persónuleg notkun. Viðskiptaleyfi frá $ 5 / mánuði
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Um 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.

Best fyrir: AI assistants, chatbots, conversational AI applications

Skoða allt Sesame CSM raddir

Í hnotskurn

Forritari
Sesame
Leyfi
Apache 2.0
Tími
premium
Hraði
slow
Raddklóðun
Nei
Tungumál
English
Hámarksstafir
500

Sesame CSM raddir

Speaker 0

English
Premium Neutral

Speaker 1

English
Premium Neutral

Sesame CSM TTS — Algengar spurningar

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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