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."

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

    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:

Contact

For further questions, please visit the project webpage or contact the authors through the provided channels.

Datasets:

Hannie0813
/

NVSpeech170k

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