mlsanityData to 7 Oct 2026

CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice

arXiv 2305.18283 ↗First posted 29 May 2023cs.CL cs.AI cs.LGcited by 19

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Abstract (arXiv)

Despite the recent advancements in Automatic Speech Recognition (ASR), the recognition of accented speech still remains a dominant problem. In order to create more inclusive ASR systems, research has shown that the integration of accent information, as part of a larger ASR framework, can lead to the mitigation of accented speech errors. We address multilingual accent classification through the ECAPA-TDNN and Wav2Vec 2.0/XLSR architectures which have been proven to perform well on a variety of speech-related downstream tasks. We introduce a simple-to-follow recipe aligned to the SpeechBrain toolkit for accent classification based on Common Voice 7.0 (English) and Common Voice 11.0 (Italian, German, and Spanish). Furthermore, we establish new state-of-the-art for English accent classification with as high as 95% accuracy. We also study the internal categorization of the Wav2Vev 2.0 embeddings through t-SNE, noting that there is a level of clustering based on phonological similarity. (Our recipe is open-source in the SpeechBrain toolkit, see: https://github.com/speechbrain/speechbrain/tree/develop/recipes)

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 19 of its 33 references that are in the map. First posted on arXiv 29 May 2023.

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19 of 33 references.

References · 19

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  3. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,358
  4. 2019SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognitioncited by 1,355
  5. 2021SUPERB: Speech processing Universal PERformance Benchmarkcited by 652
  6. 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 606
  7. 2021Datasets: A Community Library for Natural Language Processingcited by 526
  8. 2020Unsupervised Cross-lingual Representation Learning for Speech Recognitioncited by 496
  9. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 404
  10. 2018Attentive Statistics Pooling for Deep Speaker Embeddingcited by 108
  11. 2019Utterance-level Aggregation For Speaker Recognition In The Wildcited by 49
  12. 2021The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methodscited by 24
7 more
  1. 2021Accented Speech Recognition: A Surveycited by 11
  2. 2019Leveraging native language information for improved accented speech recognitioncited by 7
  3. 2019Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognitioncited by 6
  4. 2020Exploiting Spectral Augmentation for Code-Switched Spoken Language Identificationcited by 5
  5. 2021AISPEECH-SJTU accent identification system for the Accented English Speech Recognition Challengecited by 4
  6. 2021English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition Systemcited by 2
  7. 2020Deep Discriminative Feature Learning for Accent Recognitioncited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 3; 2025: 9; 2026: 6.

19 papers.

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  1. 2024Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generationcited by 27
  2. 2024Convert and Speak: Zero-shot Accent Conversion with Minimum Supervisioncited by 11
  3. 2025CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speechcited by 11
  4. 2024AccentBox: Towards High-Fidelity Zero-Shot Accent Generationcited by 9
  5. 2025MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Taskscited by 6
  6. 2025Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMscited by 6
  7. 2025Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globecited by 5
  8. 2025Pairwise Evaluation of Accent Similarity in Speech Synthesiscited by 4
  9. 2023Big model only for hard audios: Sample dependent Whisper model selection for efficient inferencescited by 2
  10. 2025Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Maskingcited by 2
  11. 2026Rethinking Discrete Speech Representation Tokens for Accent Generationcited by 2
  12. 2025MaskVCT: Masked Voice Codec Transformer for Zero-Shot Voice Conversion With Increased Controllability via Multiple Guidancescited by 1
7 more
  1. 2025Probing for Phonology in Self-Supervised Speech Representations: A Case Study on Accent Perceptioncited by 0
  2. 2025The Prosody of Emojiscited by 0
  3. 2026StyleStream: Real-Time Zero-Shot Voice Style Conversioncited by 0
  4. 2026Voice "Cloning" is Style Transfercited by 0
  5. 2026TokAN: Accent Normalization Using Self-Supervised Speech Tokenscited by 0
  6. 2026Flexible and Interpretable Accent Distance Measurementscited by 0
  7. 2026FuseAlign: Forced Alignment in the Wildcited by 0