Relationship Between Speakers' Physiological Structure and Acoustic Speech Signals: Data-Driven Study Based on Frequency-Wise Attentional Neural Network-Reference-Cited by-同舟云学术

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Relationship Between Speakers' Physiological Structure and Acoustic Speech Signals: Data-Driven Study Based on Frequency-Wise Attentional Neural Network

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:2022 30th European Signal Processing Conference (EUSIPCO)
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Author:

Li Kai¹,Lu Xugang²,Akagi Masato¹,Dang Jianwu¹,Li Sheng²,Unoki Masashi¹

Affiliation:

1. School of Information Science, Japan Advanced Institute of Science and Technology,Japan

2. National Institute of Information and Communications Technology,Advanced Speech Technology Laboratory,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909649.pdf?arnumber=9909649

Reference24 articles.

1. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences

2. Analytical expressions for critical‐band rate and critical bandwidth as a function of frequency

3. A revision of zwicker's loudness model;moore;Acta Acustica United with Acustica,1996

4. A deep neural network integrated with filterbank learning for speech recognition

5. Speaker Recognition from Raw Waveform with SincNet

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1. Data-driven Non-uniform Filterbanks Based on F-ratio for Machine Anomalous Sound Detection;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04

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