README
WenetSpeech-Wu Bench
We introduce WenetSpeech-Wu-Bench, the first publicly available, manually curated benchmark for Wu dialect speech processing, covering ASR, Wu-to-Mandarin AST, speaker attributes, emotion recognition, TTS, and instruct TTS, and providing a unified platform for fair evaluation.
- ASR: Wu dialect ASR (9.75 hour, including Shanghainese, Suzhounese, and Mandarin code-mixed speech). Evaluated by CER.
- Wu→Mandarin AST: Speech translation from Wu dialects to Mandarin (3k utterances, 4.4h). Evaluated by BLEU.
- Speaker Attributes & Emotion: Speaker gender/age prediction and emotion recognition on Wu dialect. Evaluated by classification accuracy.
- TTS: Wu dialect TTS with speaker prompting (242 sentences, 12 speakers). Evaluated by speaker similarity, CER, and MOS.
- Instruct TTS: Instruction-following TTS with prosodic and emotional control. Evaluated by automatic accuracy and subjective MOS.
Similar repos
README
WenetSpeech-Wu Bench
We introduce WenetSpeech-Wu-Bench, the first publicly available, manually curated benchmark for Wu dialect speech processing, covering ASR, Wu-to-Mandarin AST, speaker attributes, emotion recognition, TTS, and instruct TTS, and providing a unified platform for fair evaluation.
- ASR: Wu dialect ASR (9.75 hour, including Shanghainese, Suzhounese, and Mandarin code-mixed speech). Evaluated by CER.
- Wu→Mandarin AST: Speech translation from Wu dialects to Mandarin (3k utterances, 4.4h). Evaluated by BLEU.
- Speaker Attributes & Emotion: Speaker gender/age prediction and emotion recognition on Wu dialect. Evaluated by classification accuracy.
- TTS: Wu dialect TTS with speaker prompting (242 sentences, 12 speakers). Evaluated by speaker similarity, CER, and MOS.
- Instruct TTS: Instruction-following TTS with prosodic and emotional control. Evaluated by automatic accuracy and subjective MOS.