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arXiv · 2008.06580

Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview

Peter Bell·Joachim Fainberg·Ondrej Klejch·Jinyu Li·Steve Renals·Pawel Swietojanski
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Abstract

We present a structured overview of adaptation algorithms for neural network-based speech recognition, considering both hybrid hidden Markov model / neural network systems and end-to-end neural network systems, with a focus on speaker adaptation, domain adaptation, and accent adaptation. The overview characterizes adaptation algorithms as based on embeddings, model parameter adaptation, or data augmentation. We present a meta-analysis of the performance of speech recognition adaptation algorithms, based on relative error rate reductions as reported in the literature.

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Peter Bell, Joachim Fainberg, Ondrej Klejch, Jinyu Li, Steve Renals, Pawel Swietojanski. 2021-02-28. Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview. https://doi.org/10.1109/ojsp.2020.3045349

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