Serial Weakening of Human-Based Attributes Regarding Their Effect on Content-Based Speech Recognition

Serial Weakening of Human-Based Attributes Regarding Their Effect on Content-Based Speech Recognition

Numerous studies have investigated automatic speech recognition tasks, such as content-based speech recognition, using machine learning techniques, such as deep learning. In general, each speech sample contains four main human-based attributes: i.e., content, emotion, gender, and speaker identity. A...

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Bibliographic Details
Main Authors: Amir Rahdar, Davood Gharavian, Waldemar Jesko
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Autoencoder
automatic speech recognition
deep learning
feature extraction
human-based attributes
Online Access:https://ieeexplore.ieee.org/document/10066288/

Internet

https://ieeexplore.ieee.org/document/10066288/

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