Automatic Speech Recognition

Also known as ASR

Overview

Automatic speech recognition (ASR) studies how to turn audio into written words, supporting tasks such as transcription, captioning, voice interfaces, and clinical documentation. Systems commonly use self-supervised speech encoders with CTC or transducer decoders, encoder-decoder models, and increasingly speech-language models; adaptation, contextual biasing, and synthetic or unlabeled data help handle specialized vocabulary and underrepresented languages. Work also targets streaming and long-form audio, overlapping speakers, noisy recordings, and audiovisual cues, with evaluation on datasets such as LibriSpeech, Common Voice, and meeting and domain-specific benchmarks. Strong pretrained models coexist with persistent gaps in low-resource and atypical speech, dialect fairness, hallucination control, and real-world robustness, while word error rate alone often misses meaning, usability, and downstream impact.

Latest papers

CardsList

484 papers67 papers in the last four weeks, down 7% on the four weeks before. 0.4% of all new papers.

  1. Investigation on the Robustness of Acoustic Foundation Models on Post Exercise Speech

    Mar 29, 2026Xiangyuan Xue, Yuyu Wang, Ruijie Yao +3Robust ASRAutomatic Speech Recognition

  2. Beyond Acoustic Prefixes: Persistent Access to Serialized Acoustic Memory for LLM-Based Multi-Talker Speech Recognition

    Mar 28, 2026Hao Shi, Yuan Gao, Xugang Lu +1Multi-Speaker ASRMemory-Augmented Language Models

  3. Contextual Earnings-22: A Speech Recognition Benchmark with Custom Vocabulary in the Wild

    Mar 28, 2026Berkin Durmus, Chen Cen, Eduardo Pacheco +2Contextual ASRSpeech Recognition Benchmarks

  4. Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan

    Mar 27, 2026Chihiro Taguchi, Yukinori Takubo, David ChiangAutomatic Speech RecognitionSpeech Processing

  5. Abstract Compression of Conversational Audio Context for LLM-based ASR

    Mar 27, 2026Shashi Kumar, Esaú Villatoro-Tello, Sergio Burdisso +7Contextual ASRAutomatic Speech Recognition

  6. CLAR: CIF-Localized Alignment for Retrieval-Augmented Speech LLM-Based Contextual ASR

    Mar 26, 2026Shangkun Huang, Huan Shen, Wei Zou +1Contextual ASRAutomatic Speech Recognition

  7. Joint Learning Global-Local Speaker Classification to Enhance End-to-End Speaker Diarization and Recognition

    Mar 26, 2026Yuhang Dai, Haopeng Lin, Jiale Qian +9Speaker DiarizationAutomatic Speech Recognition

  8. A Sociolinguistic Analysis of Automatic Speech Recognition Bias in Newcastle English

    Mar 25, 2026Dana Serditova, Kevin TangDemographic Bias in ASRAutomatic Speech Recognition

  9. From Oracle to Noisy Context: Mitigating Contextual Exposure Bias in Speech-LLMs

    Mar 25, 2026Xiaoyong Guo, Nanjie Li, Zijie Zeng +4Contextual ASRAutomatic Speech Recognition

  10. MSR-HuBERT: Self-supervised Pre-training for Adaptation to Multiple Sampling Rates

    Mar 24, 2026Zikang Huang, Meng Ge, Tianrui Wang +4Self-Supervised Speech Representation LearningAutomatic Speech Recognition

  11. Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks

    Mar 23, 2026Matías Pizarro, Raghavan Narasimhan, Jonas Killian +1Adversarial RobustnessRobust ASR

  12. Ara-Best-RQ: Multi Dialectal Arabic SSL

    Mar 23, 2026Haroun Elleuch, Ryan Whetten, Salima Mdhaffar +2Arabic DialectsSpeech Processing

  13. Demonstration of Adapt4Me: An Uncertainty-Aware Authoring Environment for Personalizing Automatic Speech Recognition to Non-normative Speech

    Mar 20, 2026Niclas Pokel, Yiming Zhao, Pehuén Moure +2Personalized Speech RecognitionAutomatic Speech Recognition

  14. Modeling Overlapped Speech with Shuffles

    Mar 18, 2026Matthew Wiesner, Samuele Cornell, Alexander Polok +3Speaker-Attributed ASRAutomatic Speech Recognition

  15. Over-the-air White-box Attack on the Wav2Vec Speech Recognition Neural Network

    Mar 17, 2026Protopopov AlexeyAdversarial ExamplesPhysical Adversarial Attacks

  16. Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpus

    Mar 17, 2026Martina Simonotti, Ludovica Pannitto, Eleonora Zucchini +2Speech Corpus ConstructionAutomatic Speech Recognition

  17. Tagarela - A Portuguese speech dataset from podcasts

    Mar 16, 2026Frederico Santos de Oliveira, Lucas Rafael Stefanel Gris, Alef Iury Siqueira Ferreira +8Automatic Speech RecognitionLow-Resource Speech Recognition

  18. Two-Stage Adaptation for Non-Normative Speech Recognition: Revisiting Speaker-Independent Initialization for Personalization

    Mar 16, 2026Shan Jiang, Jiawen Qi, Chuanbing Huo +2Automatic Speech RecognitionDomain Adaptation for ASR

  19. Vietnamese Automatic Speech Recognition: A Revisit

    Mar 16, 2026Thi Vu, Linh The Nguyen, Dat Quoc NguyenSpeech ProcessingAutomatic Speech Recognition

  20. Beyond Deep Learning: Speech Segmentation and Phone Classification with Neural Assemblies

    Mar 11, 2026Trevor Adelson, Vidhyasaharan Sethu, Ting DangSpeech ProcessingAutomatic Speech Recognition

  21. Duration Aware Scheduling for ASR Serving Under Workload Drift

    Mar 11, 2026Darshan Makwana, Yash Jogi, Harsh Kotta +1Real-Time SchedulingAutomatic Speech Recognition

  22. Uni-ASR: Unified LLM-Based Architecture for Non-Streaming and Streaming Automatic Speech Recognition

    Mar 11, 2026Yinfeng Xia, Jian Tang, Junfeng Hou +2Automatic Speech RecognitionStreaming ASR