Sesame CSM

Sesame CSM TTS

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

رجسٽر ٿيو 5000 ڪارڪنن جي حد

صحيح ڪنٽرول لاءِ پنھنجو متن SSML ٽيگ ۾ ويڙھيو:

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

ٽيگ جيڪي چونڊيل ماڊل سمجھي ٿو - هڪ کي پنھنجي متن ۾ جتي ٿئي ٿو ڦيريڻ لاءِ ڪلڪ ڪريو:

هي ماڊل عام متن پڙهندو آھي، تنھنڪري لاٽ ۾ ٽيگ نظرانداز ڪيا ويندا آھن. ٽيگ تي ٻڌل احساسن لاءِ، ھڪ اظهاري ماڊل وانگر Orpheus يا Bark تي تبديل ڪريو.

پنھنجو آواز بيان ڪريو (شيء = آواز):

-12 +12
0.5x 2.0x
پيپر، VITS، MeloTTS سان مفت
پنھنجو ٺاھيل آڊيو اتي نظر ايندو. ھڪ ماڊل چونڊيو، متن داخل ڪريو ۽ ٺاھڻ دٻايو.
آڊيو ڪاميابي سان ٺاهيو ويو
0:00
آڊيو ڊائون لوڊ ڪريو ڊائون لوڊ لنڪ 24 ڪلاڪن ۾ ختم ٿيندو
مفت ٽائير: ذاتي استعمال. $5/مھينن کان تجارتي لائسنس
TTS.ai کي پيارو آهي؟ پنھنجن دوستن کي چئو!

بابت 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.

بهترين: AI assistants, chatbots, conversational AI applications

سڀ لکو Sesame CSM آواز

هڪ نظر ۾

ڊيولپر
Sesame
لائسنس
Apache 2.0
جانور
premium
رفتار
slow
آواز جو کلون
نه
ٻوليون
English
وڌيڪ نشان
500

Sesame CSM آواز

Speaker 0

English
پريميئم Neutral

Speaker 1

English
پريميئم Neutral

Sesame CSM TTS - پڇا ڳاڇا

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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