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ASLP-lab/WenetSpeech-Wu-Bench

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… See the full description on the dataset page: https://huggingface.co/datasets/ASLP-lab/WenetSpeech-Wu-Bench.

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face

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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.