Combined Bidirectional Long Short-Term Memory with Mel-Frequency Cepstral Coefficients Using Autoencoder for Speaker Recognition

Combined Bidirectional Long Short-Term Memory with Mel-Frequency Cepstral Coefficients Using Autoencoder for Speaker Recognition

Recently, neural network technology has shown remarkable progress in speech recognition, including word classification, emotion recognition, and identity recognition. This paper introduces three novel speaker recognition methods to improve accuracy. The first method, called long short-term memory wi...

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Bibliographic Details
Main Authors: Young-Long Chen, Neng-Chung Wang, Jing-Fong Ciou, Rui-Qi Lin
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
speaker recognition
neural network
long short-term memory
mel-frequency cepstral coefficients
triplet loss
Online Access:https://www.mdpi.com/2076-3417/13/12/7008

Internet

https://www.mdpi.com/2076-3417/13/12/7008

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