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sha256:a0a0ec74e0c09b35216ff184ccf31a03014a907701b6f412f749a94cb46f2660 +size 1367040 diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3fe77d218ab584c276312c1ed3673855aa2d2a49 --- /dev/null +++ b/README.md @@ -0,0 +1,87 @@ +--- +license: apache-2.0 +language: +- zh +tags: +- Cantonese +- Dialect +- OpenSource +- TTS +--- +--- +license: apache-2.0 +--- +# MagicData-Dialect-Northeastern Chinese-TTS-Lite +## MAGIC DATA OPEN-SOURCE LICENSE + +## Dataset Overview +| Item | Information | +| ---- | ---- | +| Dataset Type | N/A | +| Language | Chinese Dialect | +| Speech Style | Scripted | +| Content | N/A | +| Audio Parameters | 48 kHz, 16 bits | +| File Format | WAV (PCM) | +| Recording Equipment | microphone | +| Recording Environment | quiet indoor environment | +| License | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License | + +### Statistics +| Dialect | City | Code | Duration | Sentences | Speaker | +| ---- | ---- | ---- | ---- | ---- | ---- | +| Cantonese | Guangzhou | GUD | 10 minutes | 54 sentences | 1 female, 55 years old | + +## Dataset Introduction +MagicData-Dialect-Cantonese-TTS-Lite is an open-source Cantonese TTS subset of the MagicData-Dialect-TTS-Lite collection released by Magic Data. It focuses on authentic Cantonese speech from Guangzhou and is designed for research scenarios such as dialect speech synthesis, acoustic analysis, and model evaluation. + +The dataset contains approximately 10 minutes of speech data, recorded by one native Cantonese speaker from Guangzhou. The speaker was born and raised in the local region, and the recordings preserve authentic local accent, intonation, and expression habits. + +## Dataset Features +1. Native speaker with authentic accent +- The speaker was born and raised in the local region until adulthood. +- The speaker’s family and main social environment use the local dialect. + +2. Daily-life content coverage +- Weather, food, family conversations, numbers, time, and dates +- A small amount of emotional expression +- No complex technical terms, news reading, or poetry recitation, in order to avoid style deviation + +3. Clean recording environment +- Quiet indoor environment +- 48 kHz / 16-bit / mono WAV + +4. Moderate sentence length, suitable for TTS modeling +- Each sentence is around 5–20 seconds, with an average length of about 10 seconds +- Natural punctuation-based segmentation, with no forced truncation + +## Annotation Guidelines +1. Chinese character transcription: Standard Chinese characters are used, while dialect-specific words are preserved and restored, such as “咋整” in Northeastern Chinese. +2. Number annotation: Numbers are written in Chinese character form. +3. Standardization rule: The original dialect sentences are preserved and are not forcibly “translated” into Mandarin. + +## Open-source File Structure +dialect-tts-lite/ +├── 广东 +│ ├── ProsodyLabeling +│ │ ├── txt +│ ├── wav +│ │ ├── wav/ # 54 audio files + +## Usage Recommendations +### Suitable for +- Zero-shot / few-shot baseline testing for multi-dialect TTS models +- Acoustic analysis of dialectal phonetic features +- Comparative experiments in academic research + +### Not suitable for +- Directly training production-level dialect TTS products, as the dataset is non-commercial and limited in scale +- Evaluating extreme scenarios, such as noisy environments, far-field recording, or children’s voices + +If you are interested in a larger-scale commercial version, please contact us. + +## Open-source License +This dataset is for non-commercial use only under the CC BY-NC-ND 4.0 license. It is suitable for academic research, personal development, and model evaluation. + +### Business Contact +📧 business@magicdatatech.com \ No newline at end of file