Improvement in Bone-Conducted Speech Restoration Using Linear Prediction and Long Short-Term Memory Model-Reference-Cited by-同舟云学术

Improvement in Bone-Conducted Speech Restoration Using Linear Prediction and Long Short-Term Memory Model

Published:2020-07-15 Issue:4 Volume:24 Page:175-178
ISSN:1342-6230
Container-title:Journal of Signal Processing
language:en
Short-container-title:Journal of Signal Processing

Author:

Nguyen Huy Quoc¹,Unoki Masashi¹

Affiliation:

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

Publisher

Research Institute of Signal Processing, Japan

Link

https://www.jstage.jst.go.jp/article/jsp/24/4/24_175/_pdf

Reference9 articles.

1. [1] T. Vu, K. Kimura, M. Unoki and M. Akagi: A study on restoration of bone-conducted speech with MTF-based and LP-based models, J. Signal Processing, Vol. 10, No. 6, pp. 407-417, 2006.

2. [2] S. Ishimitsu, H. Kitakaze, Y. Tsuchibushi, H. Yanagawa and M. Fukushima: A noise-robust speech recognition system making use of body-conducted signals, Acoustical Science and Technology, Vol. 25, No. 2, pp. 166-169, 2004.

3. [3] T. Tamiya and T. Shimamura: Reconstruction filter design for bone-conducted speech, Proc. ICSLP2004, pp. 1085-1088, 2004.

4. [4] N. Phung, M. Unoki and M. Akagi: A study on restoration of bone-conducted speech in noisy environments with LP-based model and Gaussian mixture model, Signal Processing, Vol. 16, No. 5, pp. 409-417, 2012.

5. [5] T. Vu, G. Seide, M. Unoki and M. Akagi: Method of LP-based blind restoration for improving intelligibility of bone-conducted speech, Proc. Interspeech 2007, pp. 966-969, 2007.

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3. A Two-Stage Approach to Quality Restoration of Bone-Conducted Speech;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Packet Loss Compensation for VoIP through Bone‐Conducted Speech Using Modified Linear Prediction;IEEJ Transactions on Electrical and Electronic Engineering;2023-08-30

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