mlsanityData to 14 Oct 2026

Automatic Pronunciation Assessment -- A Review

arXiv 2310.13974 ↗First posted 21 Oct 2023cs.CL cs.SD eess.AScited by 7

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Abstract (arXiv)

Pronunciation assessment and its application in computer-aided pronunciation training (CAPT) have seen impressive progress in recent years. With the rapid growth in language processing and deep learning over the past few years, there is a need for an updated review. In this paper, we review methods employed in pronunciation assessment for both phonemic and prosodic. We categorize the main challenges observed in prominent research trends, and highlight existing limitations, and available resources. This is followed by a discussion of the remaining challenges and possible directions for future work.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 27 of its 146 references that are in the map. First posted on arXiv 21 Oct 2023.

Builds on

27 of 146 references.

References · 27

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  2. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,342
  3. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,657
  4. 2023Scaling Speech Technology to 1,000+ Languagescited by 411
  5. 2022Self-Supervised Speech Representation Learning: A Reviewcited by 260
  6. 2020Exploring wav2vec 2.0 on speaker verification and language identificationcited by 95
  7. 2021speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessmentcited by 58
  8. 2021Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASRcited by 41
  9. 2022Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessmentcited by 37
  10. 2022Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learningcited by 29
  11. 2020Context-aware Goodness of Pronunciation for Computer-Assisted Pronunciation Trainingcited by 26
  12. 20223M: An Effective Multi-view, Multi-granularity, and Multi-aspect Modeling Approach to English Pronunciation Assessmentcited by 22
15 more
  1. 2021A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniquescited by 19
  2. 2020Language-agnostic Multilingual Modelingcited by 17
  3. 2022Hierarchical Pronunciation Assessment with Multi-Aspect Attentioncited by 13
  4. 2020TLT-school: a Corpus of Non Native Children Speechcited by 12
  5. 2021Multilingual Speech Evaluation: Case Studies on English, Malay and Tamilcited by 10
  6. 2022Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessmentcited by 10
  7. 2020Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attentioncited by 9
  8. 2021An Approach to Mispronunciation Detection and Diagnosis with Acoustic, Phonetic and Linguistic (APL) Embeddingscited by 8
  9. 2023Multi-View Multi-Task Representation Learning for Mispronunciation Detectioncited by 6
  10. 2021A transfer learning based approach for pronunciation scoringcited by 5
  11. 2022Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Informationcited by 3
  12. 2019An End-to-end Approach for Lexical Stress Detection based on Transformercited by 2
  13. 2021Experiments of ASR-based mispronunciation detection for children and adult English learnerscited by 1
  14. 2023Unsupervised speech intelligibility assessment with utterance level alignment distance between teacher and learner Wav2Vec-2.0 representationscited by 1
  15. 2023The complementary roles of non-verbal cues for Robust Pronunciation Assessmentcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 4; 2026: 2.

7 papers.

  1. 2024VoiceBench: Benchmarking LLM-Based Voice Assistantscited by 200
  2. 2025Non-native Children's Automatic Speech Assessment Challenge (NOCASA)cited by 1
  3. 2025Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learningcited by 1
  4. 2025Fine-Tuning Large Multimodal Models for Automatic Pronunciation Assessmentcited by 1
  5. 2026A Native-Reference Coordinate Geometry for L2 Pronunciation Deviation Using Self-Supervised Speech Modelscited by 1
  6. 2025Multi-task Pretraining for Enhancing Interpretable L2 Pronunciation Assessmentcited by 0
  7. 2026Automatic Detection and Analysis of Singing Mistakes for Music Pedagogycited by 0