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Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 51–100 of 3012 papers

TitleStatusHype
PSRB: A Comprehensive Benchmark for Evaluating Persian ASR Systems—0
Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use—0
In-context Language Learning for Endangered Languages in Speech Recognition—0
Robust fine-tuning of speech recognition models via model merging: application to disordered speech—0
Beyond Manual Transcripts: The Potential of Automated Speech Recognition Errors in Improving Alzheimer's Disease Detection—0
Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence—0
Exploring Generative Error Correction for Dysarthric Speech RecognitionCode0
KIT's Low-resource Speech Translation Systems for IWSLT2025: System Enhancement with Synthetic Data and Model Regularization—0
Mixture of LoRA Experts for Low-Resourced Multi-Accent Automatic Speech Recognition—0
CHSER: A Dataset and Case Study on Generative Speech Error Correction for Child ASRCode0
VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining—0
LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic ContextCode0
Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across ModalitiesCode1
SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game UnderstandingCode0
An Effective Training Framework for Light-Weight Automatic Speech Recognition Models—0
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech RecognitionCode1
Large Language Models based ASR Error Correction for Child Conversations—0
From Weak Labels to Strong Results: Utilizing 5,000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data—0
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties—0
Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource LanguagesCode0
PersonaTAB: Predicting Personality Traits using Textual, Acoustic, and Behavioral Cues in Fully-Duplex Speech DialogsCode0
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems—0
LipDiffuser: Lip-to-Speech Generation with Conditional Diffusion Models—0
Automatic Speech Recognition for African Low-Resource Languages: Challenges and Future Directions—0
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors—0
Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio—0
Multi-Stage Speaker Diarization for Noisy ClassroomsCode0
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients—0
Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations—0
Fairness of Automatic Speech Recognition in Cleft Lip and Palate Speech—0
SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation—0
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language ModelCode4
Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-PlayCode3
Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments—0
Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction—0
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech RecognitionCode0
Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides—0
StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models—0
Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope—0
Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning—0
Spatial Audio Processing with Large Language Model on Wearable Devices—0
Visual-Aware Speech Recognition for Noisy Scenarios—0
DoCIA: An Online Document-Level Context Incorporation Agent for Speech TranslationCode0
LinTO Audio and Textual Datasets to Train and Evaluate Automatic Speech Recognition in Tunisian Arabic Dialect—0
Chain of Correction for Full-text Speech Recognition with Large Language Models—0
Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition SystemsCode0
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR—0
FinAudio: A Benchmark for Audio Large Language Models in Financial Applications—0
Dolphin: A Large-Scale Automatic Speech Recognition Model for Eastern LanguagesCode4
Qwen2.5-Omni Technical ReportCode7
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All datasetsLRS2RealMANSagaleeHUI speech corpusLRS3-TEDM-AILabs speech datasetThe Spoken Wikipedia CorporaVoxforge GermanVoxPopuli

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1—Unverified
2TM-seq2seqTest WER9.7—Unverified
3CTC/attentionTest WER8.2—Unverified
4LF-MMI TDNNTest WER6.7—Unverified
5Whisper-LLaMATest WER6.6—Unverified
6End2end ConformerTest WER3.9—Unverified
7End2end ConformerTest WER3.7—Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7—Unverified
9CTC/AttentionTest WER1.5—Unverified
10WhisperTest WER1.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5—Unverified
2CleanMel-L-maskCER14.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32—Unverified
2Whisper-largev3-finetunedTest WER10.82—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89—Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98—Unverified