mlsanityData to 7 Oct 2026

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

arXiv 1808.10583 ↗First posted 31 Aug 2018cs.CLcited by 125

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Abstract (arXiv)

AISHELL-1 is by far the largest open-source speech corpus available for Mandarin speech recognition research. It was released with a baseline system containing solid training and testing pipelines for Mandarin ASR. In AISHELL-2, 1000 hours of clean read-speech data from iOS is published, which is free for academic usage. On top of AISHELL-2 corpus, an improved recipe is developed and released, containing key components for industrial applications, such as Chinese word segmentation, flexible vocabulary expension and phone set transformation etc. Pipelines support various state-of-the-art techniques, such as time-delayed neural networks and Lattic-Free MMI objective funciton. In addition, we also release dev and test data from other channels(Android and Mic). For research community, we hope that AISHELL-2 corpus can be a solid resource for topics like transfer learning and robust ASR. For industry, we hope AISHELL-2 recipe can be a helpful reference for building meaningful industrial systems and products.

Key facts. Cited by 125 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Aug 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 13; 2022: 12; 2023: 18; 2024: 26; 2025: 33; 2026: 23.

125 papers.

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  1. 2023A Survey on Multimodal Large Language Modelscited by 898
  2. 2023Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Modelscited by 591
  3. 2024Qwen2-Audio Technical Reportcited by 543
  4. 2025Kimi-Audio Technical Reportcited by 210
  5. 2021WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognitioncited by 189
  6. 2021A Survey on Neural Speech Synthesiscited by 182
  7. 2022Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognitioncited by 139
  8. 2023X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languagescited by 127
  9. 2024FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMscited by 118
  10. 2024OmniBench: Towards The Future of Universal Omni-Language Modelscited by 100
  11. 2023FunASR: A Fundamental End-to-End Speech Recognition Toolkitcited by 92
  12. 2024WavChat: A Survey of Spoken Dialogue Modelscited by 88
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  1. 2025MinMo: A Multimodal Large Language Model for Seamless Voice Interactioncited by 79
  2. 2023LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPTcited by 77
  3. 2024A Survey of Multimodal Large Language Model from A Data-centric Perspectivecited by 73
  4. 2026MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interactioncited by 64
  5. 2022WeNet 2.0: More Productive End-to-End Speech Recognition Toolkitcited by 46
  6. 2023FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codeccited by 44
  7. 2024EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotionscited by 44
  8. 2021Deep Spoken Keyword Spotting: An Overviewcited by 43
  9. 2024GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinementcited by 34
  10. 2021Fast End-to-End Speech Recognition via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERTcited by 31
  11. 2025VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Modelcited by 30
  12. 2026LongCat-Next: Lexicalizing Modalities as Discrete Tokenscited by 30
  13. 2023Visual Instruction Tuning towards General-Purpose Multimodal Model: A Surveycited by 28
  14. 2025InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialoguecited by 27
  15. 2024Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?cited by 23
  16. 2025LongCat-Flash-Omni Technical Reportcited by 23
  17. 2024Encoding of lexical tone in self-supervised models of spoken languagecited by 22
  18. 2024From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalitiescited by 22
  19. 2022Language-specific Characteristic Assistance for Code-switching Speech Recognitioncited by 20
  20. 2025Fun-ASR Technical Reportcited by 19
  21. 2024Survey of Large Multimodal Model Datasets, Application Categories and Taxonomycited by 17
  22. 2021Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Modelcited by 14
  23. 2022Improving CTC-based speech recognition via knowledge transferring from pre-trained language modelscited by 14
  24. 2025OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interactioncited by 14
  25. 2025ContextASR-Bench: A Massive Contextual Speech Recognition Benchmarkcited by 14
  26. 2025SpeakerLM: End-to-End Versatile Speaker Diarization and Recognition with Multimodal Large Language Modelscited by 14
  27. 2021BAGUA: Scaling up Distributed Learning with System Relaxationscited by 13
  28. 2021VisualTTS: TTS with Accurate Lip-Speech Synchronization for Automatic Voice Overcited by 13
  29. 2024Unveiling the Potential of LLM-Based ASR on Chinese Open-Source Datasetscited by 13
  30. 2025OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academiacited by 13
  31. 2022A context-aware knowledge transferring strategy for CTC-based ASRcited by 12
  32. 2022Bayes risk CTC: Controllable CTC alignment in Sequence-to-Sequence taskscited by 12
  33. 2025Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Visioncited by 12
  34. 2025Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systemscited by 11
  35. 2021LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Readingcited by 10
  36. 2024Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformercited by 10
  37. 2025GLAP: General contrastive audio-text pretraining across domains and languagescited by 10
  38. 2026MOSS-TTS Technical Reportcited by 10

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