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

