Vowel classification with combining pitch detection and one‐dimensional convolutional neural network based classifier for gender identification

Vowel classification with combining pitch detection and one‐dimensional convolutional neural network based classifier for gender identification

Abstract Human speech signals may contain specific information regarding a speaker's characteristics, and these signals can be very useful in applications involving interactive voice response (IVR) and automatic speech recognition (ASR). For IVR and ASR applications, speaker classification into...

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Bibliographic Details
Main Authors: Chia‐Hung Lin, Hsiang‐Yueh Lai, Ping‐Tzan Huang, Pi‐Yun Chen, Chien‐Ming Li
Format: Article
Language:English
Published: Hindawi-IET 2023-05-01
Series:IET Signal Processing
Subjects:
learning (artificial intelligence)
speech processing
speech recognition
Online Access:https://doi.org/10.1049/sil2.12216

Internet

https://doi.org/10.1049/sil2.12216

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