A network model of speaker identification with new feature extraction methods and asymmetric BLSTM-Reference-Cited by-同舟云学术

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A network model of speaker identification with new feature extraction methods and asymmetric BLSTM

Published:2020-08 Issue: Volume:403 Page:167-181
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Xingmei^ORCID,Xue Fuzhao,Wang Wei^ORCID,Liu Anhua

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Pattern mining approaches used in sensor-based biometric recognition: a review;Chaki;IEEE Sensors Journal,2019

2. Intelligent Signal Processing;Haykin,2001

3. Audio Processing and Speech Recognition: Concepts, Techniques and Research Overviews;Sen,2019

4. Development of a text-dependent speaker identification system with the ogi toolkit;Toutios,2002

5. Speaker recognition: A tutorial;Campbell;Proceedings of the IEEE,1997

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1. A new speaker verification model integrated with texture variational features;2024-05-02

2. CATNet: Cross-modal fusion for audio–visual speech recognition;Pattern Recognition Letters;2024-02

3. Robust Feature Extraction Using Temporal Context Averaging for Speaker Identification in Diverse Acoustic Environments;IEEE Access;2024

4. Potential of Speech-Pathological Features for Deepfake Speech Detection;IEEE Access;2024

5. Investigating Activation Functions to Enhance Speaker Identification with LSTM Networks;2023 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA);2023-12-04

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