---
license: cc-by-nc-sa-4.0
task_categories:
- text-to-speech
- automatic-speech-recognition
language:
- zh
---
# NVSpeech Dataset

## Overview

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."

## Dataset Description

* **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.

## Annotation Categories

The NVSpeech dataset includes annotations for the following paralinguistic vocalization categories:

* [Breathing]
* [Laughter]
* [Cough]
* [Sigh]
* [Confirmation-en]
* [Question-en]
* [Question-ah]
* [Question-oh]
* [Surprise-ah]
* [Surprise-oh]
* [Dissatisfaction-hnn]
* [Uhm]
* [Shh]
* [Crying]
* [Surprise-wa]
* [Surprise-yo]
* [Question-ei]
* [Question-yi]

## Usage

```py
    from datasets import load_dataset
    dataset = load_dataset("Hannie0813/NVSpeech170k")
```

### Intended Use

NVSpeech is designed to facilitate:

* Training and evaluation of paralinguistic-aware speech recognition models.
* Development of expressive and controllable TTS systems that can accurately synthesize human-like speech with inline paralinguistic cues.

### Tasks

* Automatic Speech Recognition (ASR)
* Text-to-Speech (TTS) Synthesis
* Paralinguistic Tagging

## Languages

* Mandarin Chinese

## Dataset Structure

* **Format**: Audio (WAV format) paired with text annotations including inline paralinguistic tokens.
* **Size**: 174,179 automatically annotated utterances, totaling over 573 hours.

## License

NVSpeech dataset is available for research use under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license.

## Citation

If you use NVSpeech in your research, please cite:

```bibtex

```

## Contact

For further questions, please visit the [project webpage](https://nvspeech.github.io/) or contact the authors through the provided channels.