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Soul-AILab / SoulX-Transcriber

An end-to-end framework for multi-speaker transcription that jointly models who spoke, when, and what.

Why this job: topics: speech-recognition, asr, transcription

What it does

  • State of the art performance. SoulX-Transcriber achieves superior performance on the AISHELL-4 and AliMeeting benchmarks via a unified diarization and recognition framework, which directly produces structured outputs consisting of timestamp
  • Speaker-aware multi-stage training. Speaker-aware multi-task Continues Pre-Training plus Supervised Fine-tuned strengthens speaker representation and robustness to conversations, mitigating same-gender confusion, overlap, and boundary error
  • A more natural and authentic approach to dialogue generation. We propose a speaker characteristics-driven audio matching pipeline that automatically selects the most suitable reference audio for each utterance, producing more natural, conte

Get started

pip install ms-swift
Maintenance
Active
Last commit 4 months ago
Stars
306
+1 this week
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
93% of the code

Is it looked after?

Contributors
0
Last 90 days
Issues
18% closed
9 still open
Pull requests
0 merged
0 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 93%
  • Shell 7%

Topics

  • asr
  • llm
  • sd
  • sdr
  • speech-recognition

Project record

  • JobSpeech and audio
  • StatusListed
  • Commits23
  • Forks19
  • Watching2
  • Stars in 28 days+9
  • CreatedJun 2, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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