Improving end-to-end transformer model architecture in ASR

As a result of advancement in deep learning and neural network technology, end-to-end models have been introduced into automatic speech recognition (ASR) successfully and achieved superior performance compared to conventional hybrid systems. End-to-end models simplify the traditional GMM-HMM models...

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Bibliographic Details
Main Author: Zhao, Yingzhu
Other Authors: Chng Eng Siong
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166407
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Institution: Nanyang Technological University
Language: English