SOTAVerified

Accented Speech Recognition

Papers

Showing 110 of 20 papers

TitleStatusHype
Leveraging LLM and Self-Supervised Training Models for Speech Recognition in Chinese Dialects: A Comparative Analysis0
GE2E-AC: Generalized End-to-End Loss Training for Accent Classification0
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis0
Accented Speech Recognition With Accent-specific CodebooksCode1
Unsupervised Accent Adaptation Through Masked Language Model Correction Of Discrete Self-Supervised Speech Units0
Multi-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition0
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR ModelsCode0
Improving Accented Speech Recognition with Multi-Domain Training0
Goodness of Pronunciation Pipelines for OOV ProblemCode1
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error15.01Unverified
2Deep Speech 2Percentage error7.55Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error28.46Unverified
2Deep Speech 2Percentage error13.56Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error31.2Unverified
2Deep Speech 2Percentage error17.55Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error45.35Unverified
2Deep Speech 2Percentage error22.44Unverified