Accented Speech Recognition

6 papers with code • 4 benchmarks • 1 datasets

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Use these libraries to find Accented Speech Recognition models and implementations


Most implemented papers

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

PaddlePaddle/PaddleSpeech 8 Dec 2015

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

PaddlePaddle/PaddleSpeech 17 Dec 2014

We present a state-of-the-art speech recognition system developed using end-to-end deep learning.

Coupled Training of Sequence-to-Sequence Models for Accented Speech Recognition

vinitunni/CoupledLoss-LAS-ESPNet 14 May 2020

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.

Goodness of Pronunciation Pipelines for OOV Problem

Agrover112/Goodness-of-Pronunciation-Pipelines-for-OOV-Problem 8 Sep 2022

In the following report we propose pipelines for Goodness of Pronunciation (GoP) computation solving OOV problem at testing time using Vocab/Lexicon expansion techniques.

Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models

bonaventuredossou/active_learning_african_asr 3 Jun 2023

Combining several active learning paradigms and the core-set approach, we propose a new multi-rounds adaptation process that uses epistemic uncertainty to automate the annotation process, significantly reducing the associated costs and human labor.

Accented Speech Recognition With Accent-specific Codebooks

csalt-research/accented-codebooks-asr 24 Oct 2023

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.