metadata
license: apache-2.0
WSYue-ASR-eval: Cantonese ASR Benchmark
To address the unique linguistic characteristics of Cantonese in speech recognition, we propose WSYue-ASR-eval, a benchmark specifically designed for evaluating ASR systems. It is tailored to assess model performance across diverse lengths, domains, and linguistic phenomena of Cantonese speech. It contains:
- Annotated through multiple rounds of manual labeling.
- Includes rich tags such as text transcription, emotion, age, and gender.
- Covers Cantonese-English code-switching and multi-domain conditions.
- Enables comprehensive evaluation across varying speech lengths.
WSYue-ASR-eval Subsets
| Set | Duration | Speakers | Hours |
|---|---|---|---|
| Short | 0–10 s | 2861 | 9.46 |
| Long | 10–30 s | 838 | 1.97 |
Total: 11.4 hours, with diverse speakers and scenarios.