SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 3012 papers

TitleStatusHype
Qieemo: Speech Is All You Need in the Emotion Recognition in Conversations—0
Direct Speech to Speech Translation: A Review—0
Fine-Tuning Whisper for Inclusive Prosodic Stress Analysis—0
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems—0
Adapting Automatic Speech Recognition for Accented Air Traffic Control Communications—0
CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition—0
Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision—0
Exploring Gender Disparities in Automatic Speech Recognition Technology—0
Improving the Inclusivity of Dutch Speech Recognition by Fine-tuning Whisper on the JASMIN-CGN CorpusCode0
Understanding Zero-shot Rare Word Recognition Improvements Through LLM Integration—0
Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders—0
The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages—0
Adopting Whisper for Confidence Estimation—0
Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models—0
Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics—0
Gesture-Aware Zero-Shot Speech Recognition for Patients with Language Disorders—0
MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems—0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors—0
Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance—0
Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond—0
Leveraging Broadcast Media Subtitle Transcripts for Automatic Speech Recognition and SubtitlingCode0
CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition—0
A Differentiable Alignment Framework for Sequence-to-Sequence Modeling via Optimal Transport—0
Data-Driven Mispronunciation Pattern Discovery for Robust Speech Recognition—0
When End-to-End is Overkill: Rethinking Cascaded Speech-to-Text Translation—0
SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions—0
Language Bias in Self-Supervised Learning For Automatic Speech Recognition—0
Cross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition—0
SEAL: Speech Embedding Alignment Learning for Speech Large Language Model with Retrieval-Augmented Generation—0
Speech Translation Refinement using Large Language ModelsCode0
The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders?—0
Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing—0
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor ContractionsCode0
Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audio—0
GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems—0
A Benchmark of French ASR Systems Based on Error Severity—0
Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR—0
Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom—0
persoDA: Personalized Data Augmentation for Personalized ASR—0
Selective Attention Merging for low resource tasks: A case study of Child ASRCode0
AdaCS: Adaptive Normalization for Enhanced Code-Switching ASRCode0
Discrete Speech Unit Extraction via Independent Component AnalysisCode0
Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives—0
Universal-2-TF: Robust All-Neural Text Formatting for ASR—0
Benchmarking Rotary Position Embeddings for Automatic Speech Recognition—0
Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics ProcessingCode0
Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI—0
Samba-ASR: State-Of-The-Art Speech Recognition Leveraging Structured State-Space Models—0
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech RecognitionCode0
Improving Transducer-Based Spoken Language Understanding with Self-Conditioned CTC and Knowledge Transfer—0
Show:102550
← PrevPage 9 of 61Next →
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