mlsanityData to 7 Oct 2026

AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection

arXiv 2406.07256 ↗First posted 11 Jun 2024cs.SD cs.AI eess.AScited by 5

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Abstract (arXiv)

The rapid advancements in speech technologies over the past two decades have led to human-level performance in tasks like automatic speech recognition (ASR) for fluent speech. However, the efficacy of these models diminishes when applied to atypical speech, such as stuttering. This paper introduces AS-70, the first publicly available Mandarin stuttered speech dataset, which stands out as the largest dataset in its category. Encompassing conversational and voice command reading speech, AS-70 includes verbatim manual transcription, rendering it suitable for various speech-related tasks. Furthermore, baseline systems are established, and experimental results are presented for ASR and stuttering event detection (SED) tasks. By incorporating this dataset into the model fine-tuning, significant improvements in the state-of-the-art ASR models, e.g., Whisper and Hubert, are observed, enhancing their inclusivity in addressing stuttered speech.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 15 of its 28 references that are in the map. First posted on arXiv 11 Jun 2024.

Builds on

15 of 28 references.

References · 15

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,301
  3. 2020Conformer: Convolution-augmented Transformer for Speech Recognitioncited by 1,838
  4. 2017AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baselinecited by 364
  5. 2021WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognitioncited by 189
  6. 2021WeNet: Production oriented Streaming and Non-streaming End-to-End Speech Recognition Toolkitcited by 123
  7. 2021SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stuttercited by 51
  8. 2022Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0cited by 26
  9. 2022KSoF: The Kassel State of Fluency Dataset -- A Therapy Centered Dataset of Stutteringcited by 21
  10. 2023From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognitioncited by 18
  11. 2021Analysis and Tuning of a Voice Assistant System for Dysfluent Speechcited by 12
  12. 2022Enhancing ASR for Stuttered Speech with Limited Data Using Detect and Passcited by 11
3 more
  1. 2023A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problemcited by 9
  2. 2023Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learningcited by 5
  3. 2022Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speechcited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 2.

5 papers.

  1. 2025WildSpeech-Bench: Benchmarking End-to-End SpeechLLMs in the Wildcited by 11
  2. 2025Boli: A dataset for understanding stuttering experience and analyzing stuttered speechcited by 3
  3. 2025StutterZero and StutterFormer: End-to-End Speech Conversion for Stuttering Transcription and Correctioncited by 1
  4. 2026Multilingual Stutter Event Detection for English, German, and Mandarin Speechcited by 0
  5. 2026Cripping AI: Reimagining AI Through Lived Disability Experiencescited by 0