Sesame CSM

Sesame CSM TTS

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

Cofrestru am gyfyngiad 5,000 nod

Amlapio' ch testun mewn tagiau SSML er mwyn cael rheoli cywir:

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

Tags y deall y model dewisiedig - cliciwch i daflu un i' ch testun lle mae' n digwydd:

Mae'r model yma yn darllen testun plaen, felly anwybyddir tagiau mewnlin. I ddelweddu teimlad yn seiliedig ar dagiau, newidiwch i ddelweddu mynegiant fel Orpheus neu Bark.

Diffinio ynganiad addasiedig (gair = ynganiad):

-12 +12
0.5x 2.0x
Am ddim gyda Piper, VITS, MeloTTS
Bydd eich sain a gynhyrchwyd yn ymddangos yma. Dewiswch ddull, rhowch destun, a chliciwch Creu.
Creuwyd Sain yn Llwyddiannus
0:00
Lawrlwytho Sain Lawrlwytho.srt Mae'r cyswllt yn darfod mewn 24 awr
Haen rhad: defnydd personol. Trwydded fasnachol o $5/mis
Gwneud hwn yn eich llais eich hun Clonio llais mewn 30 eiliad
Hoffwch TTS.ai? Meddwl am eich ffrindiau!

Am 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.

Gorau ar gyfer: AI assistants, chatbots, conversational AI applications

Pori Popeth Sesame CSM Saesneg

Yn syth

Datblygwr
Sesame
Trwydded
Apache 2.0
o Fawrth
premium
Cyflymder
slow
Clonio llais
Na
Iaith:
English
Uchafswm nodau
500

Sesame CSM Saesneg

Speaker 0

English
Cyntaf Neutral

Speaker 1

English
Cyntaf Neutral

Sesame CSM TTS - Cwestiynau Cyffredin

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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