1 Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University 2 Institute of Artificial Intelligence (TeleAI), China Telecom 3 Beijing AISHELL Technology Co., Ltd. 4 WeNet Open Source Community 5 Hong Kong University of Science and Technology
## Dataset
### WenetSpeech-Yue Overview
* Contains 21,800 hours of large-scale Cantonese speech corpus with rich annotations, the largest open-source resource for Cantonese speech research.
* Stores metadata in a single JSON file, including audio path, duration, text confidence, speaker identity, SNR, DNSMOS, age, gender, and character-level timestamps. Additional metadata tags may be added in the future.
* Covers ten domains: Storytelling, Entertainment, Drama, Culture, Vlog, Commentary, Education, Podcast, News, and Others.
### Metadata Format
We store all audio metadata in a standardized JSON format, where the core fields include `utt_id` (unique identifier for each audio segment), `rover_result` (ROVER result of three ASR transcriptions), `confidence` (confidence score of text transcription), `jyutping_confidence` (confidence score of Cantonese pinyin transcriptions), and `duration` (audio duration); speaker attributes include `speaker_id`, `gender`, and `age`; audio quality assessment metrics include `sample_rate`, `DNSMOS`, and `SNR`; timestamp information includes `timestamp` (precisely recording segment boundaries with `start` and `end`); and extended metadata under the `meta_info` field includes `program` (program name), `region` (geographical information), `link` (original content link), and `domain` (domain classification).
Json Example:
```
{
"key": "xg0054364_9798410_9801030",
"rover_result": "人多一齐食咁样先至知味",
"confidence": 0.879,
"jyutping_confidence": 0.909,
"duration": 2.816,
"meta_info": {
"region": "Hong Kong",
"program": "Cantonese radio drama "I'll Send You Flowers Next Year" featuring Kathy Chow, Jacob Tsui, and Law Wai-kit. A 2002 production by Radio Television Hong Kong (RTHK).",
"time_stamp": "9798.410_9801.030",
"link": "",
"domain": "Drama"
},
"speaker_attributes": {
"spk_id": "xg0054364_SPEAKER_08",
"gender": "Male",
"age": "YOUTH"
},
"speech_quality": {
"sampling_rate": 16000,
"DNSMOS": 3.2549686431884766,
"SNR": 25.29012680053711
},
"timestamps": [
[["", [0.0, 0.26]], ["人", [0.26, 0.48]], ["多", [0.48, 0.64]], ["一", [0.64, 0.74]], ["齐", [0.74, 0.92]]],
[["食", [0.93, 1.15]], ["", [1.15, 1.39]], ["咁", [1.39, 1.53]], ["样", [1.52, 1.6]], ["先", [1.6, 1.75]]],
[["至", [1.75, 1.83]], ["知", [1.83, 2.04]], ["味", [2.04, 2.4]], ["", [2.4, 2.78]]]
]
}
```
### WenetSpeech Usage
You can obtain the original video source through the `link` field in the metadata file (`wenetspeech_yue_meta.json`). Segment the audio according to the `cut_point` field to extract the corresponding record. For pre-processed audio data, please contact us using the information provided below.
## Contact
If you have any questions or would like to collaborate, feel free to reach out to our research team via email: lhli@mail.nwpu.edu.cn or gzhao@mail.nwpu.edu.cn
You’re also welcome to join our WeChat group for technical discussions, updates, and — as mentioned above — access to pre-processed audio data.
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