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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 351–400 of 3012 papers

TitleStatusHype
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
In-context Language Learning for Endangered Languages in Speech Recognition—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
LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic ContextCode0
VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining—0
An Effective Training Framework for Light-Weight Automatic Speech Recognition Models—0
Large Language Models based ASR Error Correction for Child Conversations—0
SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game UnderstandingCode0
Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource LanguagesCode0
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties—0
PersonaTAB: Predicting Personality Traits using Textual, Acoustic, and Behavioral Cues in Fully-Duplex Speech DialogsCode0
From Weak Labels to Strong Results: Utilizing 5,000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data—0
LipDiffuser: Lip-to-Speech Generation with Conditional Diffusion Models—0
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors—0
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems—0
Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio—0
Multi-Stage Speaker Diarization for Noisy ClassroomsCode0
Automatic Speech Recognition for African Low-Resource Languages: Challenges and Future Directions—0
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients—0
Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations—0
SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation—0
Fairness of Automatic Speech Recognition in Cleft Lip and Palate Speech—0
Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments—0
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech RecognitionCode0
Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction—0
StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models—0
Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides—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
Boosting the Transferability of Audio Adversarial Examples with Acoustic Representation Optimization—0
Whispering in Amharic: Fine-tuning Whisper for Low-resource Language—0
Your voice is your voice: Supporting Self-expression through Speech Generation and LLMs in Augmented and Alternative Communication—0
Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization—0
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR—0
Building English ASR model with regional language support—0
Automatic Speech Recognition for Non-Native English: Accuracy and Disfluency Handling—0
From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment—0
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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