Papers

Model Order Selection for Wind Noise Reduction in Non-negative Matrix Factorization

International Conference
2016~2020
작성자
한혜원
작성일
2019-06-01 16:47
조회
1218
Authors : Keulbit Kim, Jinkyu Lee, Jan Skoglund, Hong-Goo Kang

Year : 2019

Publisher / Conference : ITC-CSCC

In this paper, we propose a wind noise reduction method based on various types of non-negative matrix factorization (NMF) approaches. Since wind noise has highly non- stationary spectral characteristics that are difficult to remove using stochastic oriented methods, it is more effective to use template matching-based methods.

We first investigate whether the quality of enhanced output varies depending on the ratio of the size of speech models to that of noise models. We especially show that the optimal ratio is related to the signal-to-noise ratio (SNR) of the input signal. Based on the results of analysis, we propose an efficient algorithm for adaptively changing the size of speech and noise NMF models in each analysis frame. Since the proposed algorithm takes into account the trade- off relationship between speech distortion and noise reduction, its output quality becomes very natural. The experimental results also confirm the superiority of the proposed algorithm to conventional template matching based algorithms.
전체 355
112 International Conference Min-Jae Hwang, Frank Soong, Eunwoo Song, Xi Wang, Hyeonjoo Kang, Hong-Goo Kang "LP-WaveNet: Linear Prediction-based WaveNet Speech Synthesis" in APSIPA, 2020
111 International Conference Hyungseob Lim, Suhyeon Oh, Kyungguen Byun, Hong-Goo Kang "A Study on Conditional Features for a Flow-based Neural Vocoder" in Asilomar Conference on Signals, Systems, and Computers, 2020
110 International Conference Soo-Whan Chung, Soyeon Choe, Joon Son Chung, Hong-Goo Kang "FaceFilter: Audio-visual speech separation using still images" in INTERSPEECH (*awarded Best Student Paper), 2020
109 International Conference Soo-Whan Chung, Hong-Goo Kang, Joon Son Chung "Seeing Voices and Hearing Voices: Learning Discriminative Embeddings Using Cross-Modal Self-Supervision" in INTERSPEECH, 2020
108 International Conference Hyewon Han, Soo-Whan Chung, Hong-Goo Kang "MIRNet: Learning multiple identities representations in overlapped speech" in INTERSPEECH, 2020
107 International Conference Yoohwan Kwon, Soo-Whan Chung, Hong-Goo Kang "Intra-Class Variation Reduction of Speaker Representation in Disentanglement Framework" in INTERSPEECH, 2020
106 International Conference Minh-Tri Ho, Jinyoung Lee, Bong-Ki Lee, Dong Hoon Yi, Hong-Goo Kang "A Cross-channel Attention-based Wave-U-Net for Multi-channel Speech Enhancement" in INTERSPEECH, 2020
105 International Conference Seyun Um, Sangshin Oh, Kyungguen Byun, Inseon Jang, ChungHyun Ahn, Hong-Goo Kang "Emotional Speech Synthesis with Rich and Granularized Control" in ICASSP, 2020
104 International Conference Min-Jae Hwang, Eunwoo Song, Ryuichi Yamamoto, Frank Soong, Hong-Goo Kang "Improving LPCNet-based Text-to-Speech with Linear Prediction-structured Mixture Density Network" in ICASSP, 2020
103 International Conference Hyeonjoo Kang, Young-Sun Joo, Inseon Jang, Chunghyun Ahn, Hong-Goo Kang "A Study on Acoustic Parameter Selection Strategies to Improve Deep Learning-Based Speech Synthesis" in APSIPA, 2019