mlsanityData to 7 Oct 2026

QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions

arXiv 1910.10261 ↗First posted 22 Oct 2019eess.AScited by 93

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Abstract (arXiv)

We propose a new end-to-end neural acoustic model for automatic speech recognition. The model is composed of multiple blocks with residual connections between them. Each block consists of one or more modules with 1D time-channel separable convolutional layers, batch normalization, and ReLU layers. It is trained with CTC loss. The proposed network achieves near state-of-the-art accuracy on LibriSpeech and Wall Street Journal, while having fewer parameters than all competing models. We also demonstrate that this model can be effectively fine-tuned on new datasets.

Key facts. Cited by 93 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Oct 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 27; 2022: 23; 2023: 18; 2024: 10; 2025: 9; 2026: 6.

93 papers.

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  1. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 404
  2. 2021The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usagecited by 98
  3. 2021Intermediate Loss Regularization for CTC-based Speech Recognitioncited by 95
  4. 2024An Embarrassingly Simple Approach for LLM with Strong ASR Capacitycited by 86
  5. 2023Zipformer: A faster and better encoder for automatic speech recognitioncited by 77
  6. 2021Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictionscited by 61
  7. 2022Squeezeformer: An Efficient Transformer for Automatic Speech Recognitioncited by 50
  8. 2021Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognitioncited by 42
  9. 2021Momentum Pseudo-Labeling for Semi-Supervised Speech Recognitioncited by 37
  10. 2022PriMock57: A Dataset Of Primary Care Mock Consultationscited by 30
  11. 2021A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generationcited by 27
  12. 2023Adaptation of Whisper models to child speech recognitioncited by 25
38 more
  1. 2022FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learningcited by 24
  2. 2023Audio-Visual Efficient Conformer for Robust Speech Recognitioncited by 22
  3. 2023The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarioscited by 20
  4. 2021Integer-only Zero-shot Quantization for Efficient Speech Recognitioncited by 19
  5. 2021Pushing the Limits of Non-Autoregressive Speech Recognitioncited by 18
  6. 2023ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representationscited by 15
  7. 2021Layer Pruning on Demand with Intermediate CTCcited by 13
  8. 2024The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancementcited by 12
  9. 2022ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversioncited by 10
  10. 2022ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognitioncited by 8
  11. 2021TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Predictioncited by 7
  12. 2021Scribosermo: Fast Speech-to-Text models for German and other Languagescited by 7
  13. 20224D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoderscited by 7
  14. 2021Review of end-to-end speech synthesis technology based on deep learningcited by 6
  15. 2022Improving Mandarin Speech Recogntion with Block-augmented Transformercited by 6
  16. 2023Tailor: Altering Skip Connections for Resource-Efficient Inferencecited by 6
  17. 2024Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorizationcited by 6
  18. 2021A Toolbox for Construction and Analysis of Speech Datasetscited by 5
  19. 2021On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Eracited by 5
  20. 2021SIGTYP 2021 Shared Task: Robust Spoken Language Identificationcited by 5
  21. 2022ECAPA-TDNN for Multi-speaker Text-to-speech Synthesiscited by 5
  22. 2022Generating gender-ambiguous voices for privacy-preserving speech recognitioncited by 5
  23. 2022Uconv-Conformer: High Reduction of Input Sequence Length for End-to-End Speech Recognitioncited by 5
  24. 2023On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settingscited by 5
  25. 2023SelfVC: Voice Conversion With Iterative Refinement using Self Transformationscited by 5
  26. 2024Revisiting ASR Error Correction with Specialized Modelscited by 5
  27. 2025BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognitioncited by 5
  28. 2022Improving CTC-based ASR Models with Gated Interlayer Collaborationcited by 4
  29. 2022A Compact End-to-End Model with Local and Global Context for Spoken Language Identificationcited by 4
  30. 2024Joint Beam Search Integrating CTC, Attention, and Transducer Decoderscited by 4
  31. 2025Real-Time Streamable Generative Speech Restoration with Flow Matchingcited by 4
  32. 2022MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognitioncited by 3
  33. 2023PATCorrect: Non-autoregressive Phoneme-augmented Transformer for ASR Error Correctioncited by 3
  34. 2024Towards Open-World Gesture Recognitioncited by 3
  35. 2021Error-driven Fixed-Budget ASR Personalization for Accented Speakerscited by 2
  36. 2021Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognitioncited by 2
  37. 2021Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matricescited by 2
  38. 2022BEA-Base: A Benchmark for ASR of Spontaneous Hungariancited by 2

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