JSUM: A Multitask Learning Speech Recognition Model for Jointly Supervised and Unsupervised Learning
In recent years, the end-to-end speech recognition model has emerged as a popular alternative to the traditional Deep Neural Network—Hidden Markov Model (DNN-HMM). This approach maps acoustic features directly onto text sequences via a single network architecture, significantly streamlining the mode...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2023
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Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |