mlsanityData to 13 Oct 2026

TorchAudio: Building Blocks for Audio and Speech Processing

arXiv 2110.15018 ↗First posted 28 Oct 2021eess.AS cs.SDcited by 83

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Abstract (arXiv)

This document describes version 0.10 of TorchAudio: building blocks for machine learning applications in the audio and speech processing domain. The objective of TorchAudio is to accelerate the development and deployment of machine learning applications for researchers and engineers by providing off-the-shelf building blocks. The building blocks are designed to be GPU-compatible, automatically differentiable, and production-ready. TorchAudio can be easily installed from Python Package Index repository and the source code is publicly available under a BSD-2-Clause License (as of September 2021) at https://github.com/pytorch/audio. In this document, we provide an overview of the design principles, functionalities, and benchmarks of TorchAudio. We also benchmark our implementation of several audio and speech operations and models. We verify through the benchmarks that our implementations of various operations and models are valid and perform similarly to other publicly available implementations.

Key facts. Cited by 83 papers in the map (data through 13 Oct 2026). First posted on arXiv 28 Oct 2021.

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Citing papers per year: 2021: 1; 2022: 19; 2023: 25; 2024: 26; 2025: 5; 2026: 7.

83 papers.

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  1. 2023Scaling Speech Technology to 1,000+ Languagescited by 402
  2. 2022Decoding speech perception from non-invasive brain recordingscited by 129
  3. 2024Proactive Detection of Voice Cloning with Localized Watermarkingcited by 75
  4. 2022Imitator: Personalized Speech-driven 3D Facial Animationcited by 74
  5. 2021TorchGeo: Deep Learning With Geospatial Datacited by 73
  6. 2022Pruned RNN-T for fast, memory-efficient ASR trainingcited by 46
  7. 2022Perfectly Secure Steganography Using Minimum Entropy Couplingcited by 44
  8. 2024A Large-Scale Evaluation of Speech Foundation Modelscited by 40
  9. 2022AugLy: Data Augmentations for Robustnesscited by 34
  10. 2022StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesiscited by 33
  11. 2023Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentationcited by 33
  12. 2023DPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Modelscited by 33
38 more
  1. 2024TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learningcited by 29
  2. 2022The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editingcited by 24
  3. 2023Automatic Piano Transcription with Hierarchical Frequency-Time Transformercited by 22
  4. 2023ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillationcited by 22
  5. 2023Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Computecited by 21
  6. 2022Words are all you need? Language as an approximation for human similarity judgmentscited by 18
  7. 2022Accelerating RNN-T Training and Inference Using CTC guidancecited by 17
  8. 2024REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challengecited by 16
  9. 2023Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editingcited by 15
  10. 2023When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLPcited by 14
  11. 2023Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributescited by 13
  12. 2022Music Enhancement via Image Translation and Vocodingcited by 11
  13. 2023Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learnerscited by 11
  14. 2023ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkitcited by 10
  15. 2023AnuraSet: A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoringcited by 10
  16. 2024AudioProtoPNet: An interpretable deep learning model for bird sound classificationcited by 10
  17. 2022GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant Instance Conditioningcited by 9
  18. 2025AV-Flow: Transforming Text to Audio-Visual Human-like Interactionscited by 9
  19. 2022ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understandingcited by 8
  20. 2024DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Modelscited by 8
  21. 2023Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Featurescited by 7
  22. 2023R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Piecescited by 7
  23. 2022Jointist: Joint Learning for Multi-instrument Transcription and Its Applicationscited by 6
  24. 2023CIF-T: A Novel CIF-based Transducer Architecture for Automatic Speech Recognitioncited by 6
  25. 2023Automatic Disfluency Detection from Untranscribed Speechcited by 6
  26. 2023REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challengecited by 5
  27. 2023AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognitioncited by 5
  28. 2024Weakly-supervised Audio Separation via Bi-modal Semantic Similaritycited by 5
  29. 2024Learn from Real: Reality Defender's Submission to ASVspoof5 Challengecited by 5
  30. 2022Continual Learning for On-Device Speech Recognition using Disentangled Conformerscited by 4
  31. 2022Efficient Speech Representation Learning with Low-Bit Quantizationcited by 4
  32. 2023Uncertainty as a Predictor: Leveraging Self-Supervised Learning for Zero-Shot MOS Predictioncited by 4
  33. 2024Whisper Finetuning on Nepali Languagecited by 4
  34. 2024MERaLiON-SpeechEncoder: Towards a Speech Foundation Model for Singapore and Beyondcited by 4
  35. 2025The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary studycited by 4
  36. 2026Zero-shot Forecasting by Simulation Alonecited by 4
  37. 2022Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrogramscited by 3
  38. 2022Blank Collapse: Compressing CTC emission for the faster decodingcited by 3

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