Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design

Ming Gao, Hang Chen, Jun Du, Xin Xu, Hongxiao Guo +4 more
6/14/2024
cs.CL

No confident code implementation found for this paper.

Abstract

Smart home technology has gained widespread adoption, facilitating effortless control of devices through voice commands. However, individuals with dysarthria, a motor speech disorder, face challenges due to the variability of their speech. This paper addresses the wake-up word spotting (WWS) task for dysarthric individuals, aiming to integrate them into real-world applications. To support this, we release the open-source Mandarin Dysarthria Speech Corpus (MDSC), a dataset designed for dysarthric individuals in home environments. MDSC encompasses information on age, gender, disease types, and intelligibility evaluations. Furthermore, we perform comprehensive experimental analysis on MDSC, highlighting the challenges encountered. We also develop a customized dysarthria WWS system that showcases robustness in handling intelligibility and achieving exceptional performance. MDSC will be released on https://www.aishelltech.com/AISHELL_6B.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Perceiver-Prompt: Flexible Speaker Adaptation in Whisper for Chinese Disordered Speech Recognition

84% match2024

Empowering Dysarthric Speech: Leveraging Advanced LLMs for Accurate Speech Correction and Multimodal Emotion Analysis

83% match2024

Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning

82% match2024

Voice Biomarker Analysis and Automated Severity Classification of Dysarthric Speech in a Multilingual Context

82% match2024

Bridging ASR and LLMs for Dysarthric Speech Recognition: Benchmarking Self-Supervised and Generative Approaches

81% match2025

Wearable intelligent throat enables natural speech in stroke patients with dysarthria

81% match2 repos22024

Cite this paper

@article{gao2024enhancing,
  title  = {Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design},
  author = {Ming Gao and Hang Chen and Jun Du and Xin Xu and Hongxiao Guo and Hui Bu and Jianxing Yang and Ming Li and Chin-Hui Lee},
  year   = {2024},
  eprint = {2406.10304},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.10304v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2406.10304.svg)](https://codeofpaper.com/paper/2406.10304)

Discussion