Sesame CSM

Sesame CSM TTS

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

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SSML-i siltidesse teksti segamine täpseks kontrollimiseks:

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

Sildid valitud mudelil mõistavad ~ klõpsa ühe kukutamiseks teksti, kus see juhtub:

See mudel loeb lihtsat teksti, nii et sisemisi silte ignoreeritakse. Sildil põhinevate emotsioonide puhul lülituge ekspressiivsele mudelile nagu Orpheus või Bark.

Kohandatud häälduste määramine (sõna = hääldus):

-12 +12
0.5x 2.0x
Tasuta Piper, VITS, MeloTTS
Siin ilmub sinu loodud heli. Vali mudel, sisesta tekst ja klõpsa Genereeri.
Audio genereeritud edukalt
0:00
Audio allalaadimine Lae alla.srt Link aegub 24 tunni pärast.
Tasuta tase: isiklik kasutamine. Äriline litsents alates $5/mo
Armastus TTS.ai?

Info 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.

Parim: AI assistants, chatbots, conversational AI applications

Kõigi sirvimine Sesame CSM hääled

Põgusalt

Arendaja
Sesame
Litsents
Apache 2.0
Määramistasand
premium
Kiirus
slow
Hääle kloonimine
Ei.
Keeled
English
Maks. märgid
500

Sesame CSM hääled

Speaker 0

English
Premium Neutral

Speaker 1

English
Premium Neutral

Sesame CSM TTS (KKK)

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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