Sesame CSM

Sesame CSM የድምፅ ፋይል

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

ምዝገባ ፊደል(ሎች)

ርዕሱን በSSML መለያዎች ውስጥ ለጥሩ ቁጥጥር ይዞሩት:

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

የተመረጠው ሞዴል የሚያውቃቸው መለያዎች - በጽሑፍዎ ውስጥ የሚከሰትበትን ቦታ ለመውሰድ ጠቅ ያድርጉ፦

ይህ ሞዴል ቀላል ጽሑፍን ያነባል፣ ስለዚህም በመስመር ውስጥ ያሉ ምልክቶች ይዘገያሉ፡፡ ለታክስ-ተኮር ስሜት እንደ ኦርፊየስ ወይም ባርክ ያሉ ግልጽ ሞዴሎችን ይለውጡ።

የራሱን ተናጋሪ ግለጽ (ቃል = ተናጋሪ):

-12 +12
0.5x 2.0x
ነጻ ከፒፐር, VITS, MeloTTS ጋር
የእርስዎ የተፈጠረ ድምፅ እዚህ ይታይ. ሞዴል ይምረጡ፣ ጽሑፍ ያስገቡ፣ እና ይፈጥሩ ላይ ጠቅ ያድርጉ
ድምፅ በፍጥነት ተፈጠረ
0:00
ድምፅ ያውርዱ ያውርዱ መገናኛ በ24 ሰዓት ውስጥ ይቋረጣል
ነጻ ደረጃ: የግል ጥቅም የኮሜርሲ ውል ከ $5/mo
TTS.aiን ወዳጅነት?

ስለ 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.

ምርጥ ለ: AI assistants, chatbots, conversational AI applications

ሁሉንም አጥፉ Sesame CSM ድምጾች

በጥቂቱ

የድር አዘጋጅ
Sesame
ፈቃድ
Apache 2.0
ዐምድ
premium
ፍጥነት
slow
የድምፅ ቅጂ
አዎ
ቋንቋዎች
English
ፊደላት
500

Sesame CSM ድምጾች

Speaker 0

English
ፕሪሚየም Neutral

Speaker 1

English
ፕሪሚየም Neutral

Sesame CSM የትርጉም መሳሪያ

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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