Scaling Speech Technology to 1,000+ Languages
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Abstract (arXiv)
Expanding the language coverage of speech technology has the potential to improve access to information for many more people. However, current speech technology is restricted to about one hundred languages which is a small fraction of the over 7,000 languages spoken around the world. The Massively Multilingual Speech (MMS) project increases the number of supported languages by 10-40x, depending on the task. The main ingredients are a new dataset based on readings of publicly available religious texts and effectively leveraging self-supervised learning. We built pre-trained wav2vec 2.0 models covering 1,406 languages, a single multilingual automatic speech recognition model for 1,107 languages, speech synthesis models for the same number of languages, as well as a language identification model for 4,017 languages. Experiments show that our multilingual speech recognition model more than halves the word error rate of Whisper on 54 languages of the FLEURS benchmark while being trained on a small fraction of the labeled data.
Key facts. Cited by 401 papers in the map (data through 7 Oct 2026). Builds on 70 of its 106 references that are in the map. First posted on arXiv 22 May 2023.
Builds on
70 of 106 references.
References · 70
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- 2021XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scalecited by 589
- 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 555
- 2018ESPnet: End-to-End Speech Processing Toolkitcited by 554
- 2020Unsupervised Cross-lingual Representation Learning for Speech Recognitioncited by 496
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- 2022FLEURS: Few-shot Learning Evaluation of Universal Representations of Speechcited by 458
- 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 455
- 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 404
- 2019vq-wav2vec: Self-Supervised Learning of Discrete Speech Representationscited by 335
- 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 277
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- 2023Google USM: Scaling Automatic Speech Recognition Beyond 100 Languagescited by 228
- 2020Real Time Speech Enhancement in the Waveform Domaincited by 183
- 2021A Survey on Neural Speech Synthesiscited by 182
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- 2021Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Trainingcited by 148
- 2021Unsupervised Speech Recognitioncited by 147
- 2020VoxLingua107: a Dataset for Spoken Language Recognitioncited by 118
- 2020Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameterscited by 110
- 2022mSLAM: Massively multilingual joint pre-training for speech and textcited by 108
- 2020Exploring wav2vec 2.0 on speaker verification and language identificationcited by 93
- 2019Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Modelcited by 92
- 2017Multilingual Speech Recognition With A Single End-To-End Modelcited by 87
- 2021SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Networkcited by 83
- 2021TorchAudio: Building Blocks for Audio and Speech Processingcited by 83
- 2022MAESTRO: Matched Speech Text Representations through Modality Matchingcited by 79
- 2020CTC-Segmentation of Large Corpora for German End-to-end Speech Recognitioncited by 75
- 2020Rethinking Evaluation in ASR: Are Our Models Robust Enough?cited by 72
- 2022Building Machine Translation Systems for the Next Thousand Languagescited by 69
- 2019Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloningcited by 66
- 2018The challenge of realistic music generation: modelling raw audio at scalecited by 63
- 2021Scaling End-to-End Models for Large-Scale Multilingual ASRcited by 61
50 most cited of 70 All 70 (JSON)
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Citing papers per year: 2023: 36; 2024: 110; 2025: 127; 2026: 128.
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- 2023SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialectscited by 149
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- 2024mHuBERT-147: A Compact Multilingual HuBERT Modelcited by 64
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- 2024SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languagescited by 41
- 2024IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languagescited by 39
38 more
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- 2024LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASRcited by 35
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- 2024PhoWhisper: Automatic Speech Recognition for Vietnamesecited by 13
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- 2026YODAS v3: Over 1 Million Hours of High-Bandwidth, Stereophonic, Multilingual Speech24 Sep 2026
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- 2026Staged Depth-Pruning Distillation of a Flow-Matching Text-to-Speech Teacher: A Compact Hindi Speech Synthesizer19 Jul 2026
- 2026FreyaTTS: A Compact Tokenizer-Free Flow-Matching Transformer for Turkish-First Speech Synthesis10 Jul 2026
- 2026ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models10 Jul 2026
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- 2026Dynamic Multi-Expert Projectors with Stabilized Routing for Multilingual Speech Recognition27 Jan 2026
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- 2023A Benchmark for Learning to Translate a New Language from One Grammar Bookcited by 74
- 2023A Survey on Detection of LLMs-Generated Contentcited by 70
- 2024Natural language guidance of high-fidelity text-to-speech with synthetic annotationscited by 66
- 2023Multilingual Large Language Models Are Not (Yet) Code-Switcherscited by 65
- 2024mHuBERT-147: A Compact Multilingual HuBERT Modelcited by 64
- 2024YODAS: Youtube-Oriented Dataset for Audio and Speechcited by 56
- 2024Towards Robust Speech Representation Learning for Thousands of Languagescited by 48
- 2025Recent Advances in Discrete Speech Tokens: A Reviewcited by 42
- 2024SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languagescited by 41
- 2024IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languagescited by 39
- 2023Can Whisper perform speech-based in-context learning?cited by 35
12 most cited of 374 All 374 (JSON)
- 2026When Can You Prune Your Network? A Study of Intermediate Neurons in Multilingual Speech Parsing8 Oct 2026
- 2026CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound7 Oct 2026
- 2026Code-Switching Spoken Language Identification as Multi-Label Set Prediction1 Oct 2026
- 2026SHAMS: An Audio-Grounded Pronunciation Benchmark for Levantine Arabic1 Oct 2026
- 2026MGhana-ST: A Low-Resource Speech Translation Dataset for Ghanaian Languages and an Analysis of Multilingual Training Trade-offs30 Sep 2026
- 2026CARDAMOM: A Micro-Dialectal Arabic Speech Dataset for ASR28 Sep 2026
- 2026FuseAlign: Forced Alignment in the Wild27 Sep 2026
- 2026Turning Speech Language Models into Multilingual Listeners27 Sep 2026
- 2026FA-Bench: A Benchmark for Phone- and Word-Level Timestamp Accuracy in Forced Alignment and ASR on Clean and Noisy Speech26 Sep 2026
- 2026YODAS v3: Over 1 Million Hours of High-Bandwidth, Stereophonic, Multilingual Speech24 Sep 2026
- 2026Same Bit Width, Different Outcomes: Post-Training Quantization of Text-to-Speech Across Architectures24 Sep 2026
- 2026Acoustic domain shift in spoken language identification from systematic domain generalization evaluation to real-world application23 Sep 2026
12 newest of 374 All 374 (JSON)