mlsanityData to 14 Oct 2026

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

arXiv 2406.10304 ↗First posted 14 Jun 2024cs.CLcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 14 of its 29 references that are in the map. First posted on arXiv 14 Jun 2024.

Builds on

14 of 29 references.

References · 14

  1. 2017AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baselinecited by 373
  2. 2022Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognitioncited by 144
  3. 2018AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scalecited by 128
  4. 2021WeNet: Production oriented Streaming and Non-streaming End-to-End Speech Recognition Toolkitcited by 125
  5. 2018Efficient keyword spotting using dilated convolutions and gatingcited by 21
  6. 2018Attention-based End-to-End Models for Small-Footprint Keyword Spottingcited by 18
  7. 2017Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spottingcited by 15
  8. 2021EasyCall corpus: a dysarthric speech datasetcited by 15
  9. 2020Towards Data-efficient Modeling for Wake Word Spottingcited by 13
  10. 2023CDSD: Chinese Dysarthria Speech Databasecited by 7
  11. 2022WeKws: A production first small-footprint end-to-end Keyword Spotting Toolkitcited by 3
  12. 2020Data augmentation enhanced speaker enrollment for text-dependent speaker verificationcited by 2
2 more
  1. 2023Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognitioncited by 2
  2. 2023The DKU Post-Challenge Audio-Visual Wake Word Spotting System for the 2021 MISP Challenge: Deep Analysiscited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 0; 2026: 3.

4 papers.

  1. 2024Roadmap towards Superhuman Speech Understanding using Large Language Modelscited by 1
  2. 2026TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wildcited by 1
  3. 2026Phonological Subspace Collapse Is Aetiology-Specific and Cross-Lingually Stable: Evidence from 3,374 Speakerscited by 0
  4. 2026Analyzing Speech Condition Effects in Dysarthric ASR: A Layer-wise Probing Studycited by 0