Sesame CSM TTS
A 1B conversational speech model that captures natural dialogue timing, turn-taking, and backchannel responses.
SSML tags ሒዝካ ጽሑፍካ ሒዝካ ንምውሳድ:
<speak><prosody rate="slow">Slow speech</prosody></speak>
ርኢቶታት እቲ ዝተመርጸ ሞዴል ዝፈልጦ — ጠቅልል ንኸውዕሎ ኣብ ጽሑፍካ ኣብ ዝግበር ቦታ:
እዚ ሞዴል'ዚ ጽሑፍ ቀሊል ይንብብ፣ ከምኡ'ውን ኣብ መስመር ዝርከብ ቴግታት ይቕረ ይበሃል። ን tag-based emotion፣ ናብ ሞዴል ስነ-ኣእምሮኣዊ ከም Orpheus ወይ Bark ምቕያር
ድምጺ ተለፎን (ቓል = ድምጺ)
ብዛዕባ 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.
ምርኣይ: AI assistants, chatbots, conversational AI applications
ርአ Sesame CSM ቃላትኣብ ሓደ ገጽ
- መተግበሪያ
- Sesame
- ውልቀ-መዚ
- Apache 2.0
- ቍጽሪ
- premium
- ፍጥነት
- slow
- ድምጺ
- ኣይ
- ቋንቋ
- English
- ቍጽሪ ኣርእስቲ
- 500