Accented Speech Recognition
6 papers with code • 4 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Accented Speech Recognition
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Libraries
Use these libraries to find Accented Speech Recognition models and implementations
VoxForge
Latest papers
Accented Speech Recognition With Accent-specific Codebooks
csalt-research/accented-codebooks-asr
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In this work, we propose a novel accent adaptation approach for end-to-end ASR systems using cross-attention with a trainable set of codebooks.
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models
bonaventuredossou/active_learning_african_asr
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This indicates that our proposed approach addresses the immediate issue of African-accented ASR and has broader implications for improving ASR systems for other underrepresented and low-resource languages and accents.
Goodness of Pronunciation Pipelines for OOV Problem
In the following report we propose pipelines for Goodness of Pronunciation (GoP) computation solving OOV problem at testing time using Vocab/Lexicon expansion techniques.
Coupled Training of Sequence-to-Sequence Models for Accented Speech Recognition
vinitunni/CoupledLoss-LAS-ESPNet
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We propose coupled training for encoder-decoder ASR models that acts on pairs of utterances corresponding to the same text spoken by speakers with different accents.
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages.
Deep Speech: Scaling up end-to-end speech recognition
We present a state-of-the-art speech recognition system developed using end-to-end deep learning.
