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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- text-to-speech |
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- automatic-speech-recognition |
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language: |
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- zh |
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--- |
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# NVSpeech Dataset |
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## Overview |
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The NVSpeech dataset provides extensive annotations of paralinguistic vocalizations for Mandarin Chinese speech, aimed at enhancing the capabilities of automatic speech recognition (ASR) and text-to-speech (TTS) systems. The dataset features explicit word-level annotations for 18 categories of paralinguistic vocalizations, including non-verbal sounds like laughter and breathing, as well as lexicalized interjections like "uhm" and "oh." |
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## Dataset Description |
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* **NVSpeech**: An automatically annotated larger subset consisting of 174,179 utterances (573.4 hours of speech). Annotations in this set are generated by a state-of-the-art paralinguistic-aware ASR model, ensuring scalability and diversity for robust model training. |
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## Annotation Categories |
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The NVSpeech dataset includes annotations for the following paralinguistic vocalization categories: |
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* [Breathing] |
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* [Laughter] |
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* [Cough] |
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* [Sigh] |
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* [Confirmation-en] |
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* [Question-en] |
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* [Question-ah] |
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* [Question-oh] |
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* [Surprise-ah] |
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* [Surprise-oh] |
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* [Dissatisfaction-hnn] |
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* [Uhm] |
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* [Shh] |
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* [Crying] |
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* [Surprise-wa] |
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* [Surprise-yo] |
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* [Question-ei] |
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* [Question-yi] |
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## Usage |
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```py |
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from datasets import load_dataset |
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dataset = load_dataset("Hannie0813/NVSpeech170k") |
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``` |
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### Intended Use |
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NVSpeech is designed to facilitate: |
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* Training and evaluation of paralinguistic-aware speech recognition models. |
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* Development of expressive and controllable TTS systems that can accurately synthesize human-like speech with inline paralinguistic cues. |
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### Tasks |
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* Automatic Speech Recognition (ASR) |
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* Text-to-Speech (TTS) Synthesis |
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* Paralinguistic Tagging |
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## Languages |
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* Mandarin Chinese |
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## Dataset Structure |
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* **Format**: Audio (WAV format) paired with text annotations including inline paralinguistic tokens. |
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* **Size**: 174,179 automatically annotated utterances, totaling over 573 hours. |
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## License |
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NVSpeech dataset is available for research use under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. |
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## Citation |
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If you use NVSpeech in your research, please cite: |
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```bibtex |
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``` |
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## Contact |
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For further questions, please visit the [project webpage](https://nvspeech.github.io/) or contact the authors through the provided channels. |
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