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92 results on '"Chen, Xiaoou"'

2. ByteCover: Cover Song Identification via Multi-Loss Training

Author

Du, Xingjian, Yu, Zhesong, Zhu, Bilei, Chen, Xiaoou, and Ma, Zejun

Subjects
Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

We present in this paper ByteCover, which is a new feature learning method for cover song identification (CSI). ByteCover is built based on the classical ResNet model, and two major improvements are designed to further enhance the capability of the model for CSI. In the first improvement, we introduce the integration of instance normalization (IN) and batch normalization (BN) to build IBN blocks, which are major components of our ResNet-IBN model. With the help of the IBN blocks, our CSI model can learn features that are invariant to the changes of musical attributes such as key, tempo, timbre and genre, while preserving the version information. In the second improvement, we employ the BNNeck method to allow a multi-loss training and encourage our method to jointly optimize a classification loss and a triplet loss, and by this means, the inter-class discrimination and intra-class compactness of cover songs, can be ensured at the same time. A set of experiments demonstrated the effectiveness and efficiency of ByteCover on multiple datasets, and in the Da-TACOS dataset, ByteCover outperformed the best competitive system by 20.9\%.

Published
2020

3. Exploring Inherent Properties of the Monophonic Melody of Songs

Author

Wang, Zehao, Zhang, Shicheng, and Chen, Xiaoou

Subjects
Computer Science - Sound, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Melody is one of the most important components in music. Unlike other components in music theory, such as harmony and counterpoint, computable features for melody is urgently in need. These features are highly demanded as data-driven methods dominating the fields such as musical information retrieval and automatic music composition. To boost the performance of deep-learning-related musical tasks, we propose a set of interpretable features on monophonic melody for computational purposes. These features are defined not only in mathematical form, but also with some considerations on composers 'intuition. For example, the Melodic Center of Gravity can reflect the sentence-wise contour of the melody, the local / global melody dynamics quantifies the dynamics of a melody that couples pitch and time in a sentence. We found that these features are considered by people universally in many genres of songs, even for atonal composition practices. Hopefully, these melodic features can provide nov el inspiration for future researchers as a tool in the field of MIR and automatic composition.

Published
2020

4. Learning a Representation for Cover Song Identification Using Convolutional Neural Network

Author

Yu, Zhesong, Xu, Xiaoshuo, Chen, Xiaoou, and Yang, Deshun

Subjects
Computer Science - Multimedia, Computer Science - Machine Learning, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Cover song identification represents a challenging task in the field of Music Information Retrieval (MIR) due to complex musical variations between query tracks and cover versions. Previous works typically utilize hand-crafted features and alignment algorithms for the task. More recently, further breakthroughs are achieved employing neural network approaches. In this paper, we propose a novel Convolutional Neural Network (CNN) architecture based on the characteristics of the cover song task. We first train the network through classification strategies; the network is then used to extract music representation for cover song identification. A scheme is designed to train robust models against tempo changes. Experimental results show that our approach outperforms state-of-the-art methods on all public datasets, improving the performance especially on the large dataset., Comment: MIREX2020-Cover Song Identification

Published
2019

5. Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example

Author

Wang, Zehao, Li, Jingru, Chen, Xiaoou, Li, Zijin, Zhang, Shicheng, Han, Baoqiang, and Yang, Deshun

Subjects
Computer Science - Sound, Computer Science - Information Retrieval, Computer Science - Multimedia, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Unlike melody extraction and other aspects of music transcription, research on playing technique detection is still in its early stages. Compared to existing work mostly focused on playing technique detection for individual single notes, we propose a general end-to-end method based on Sound Event Detection by FCN for musical instrument playing technique detection. In our case, we choose Erhu, a well-known Chinese bowed-stringed instrument, to experiment with our method. Because of the limitation of FCN, we present an algorithm to detect on variable length audio. The effectiveness of the proposed framework is tested on a new dataset, its categorization of techniques is similar to our training dataset. The highest accuracy of our 3 experiments on the new test set is 87.31%. Furthermore, we also evaluate the performance of the proposed framework on 10 real-world studio music (produced by midi) and 7 real-world recording samples to address the ability of generalization on our model., Comment: Submitted to ICASSP 2020

Published
2019

6. Post-00 Netizens Preferences with Regards to the Use of Internet Entertainment Content—An Analysis Based on '2019 App Contact Behavior Survey of New Potential People'

Author

Chen, Xiaoou, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Hung, Jason C., editor, Chang, Jia-Wei, editor, Pei, Yan, editor, and Wu, Wei-Chen, editor

Published
2022
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7. A Distinct Synthesizer Convolutional TasNet for Singing Voice Separation

Author

Tian, Congzhou, Yang, Deshun, Chen, Xiaoou, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ro, Yong Man, editor, Cheng, Wen-Huang, editor, Kim, Junmo, editor, Chu, Wei-Ta, editor, Cui, Peng, editor, Choi, Jung-Woo, editor, Hu, Min-Chun, editor, and De Neve, Wesley, editor

Published
2020
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8. Gen-Res-Net: A Novel Generative Model for Singing Voice Separation

Author

Tian, Congzhou, Li, Hangyu, Yang, Deshun, Chen, Xiaoou, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ro, Yong Man, editor, Cheng, Wen-Huang, editor, Kim, Junmo, editor, Chu, Wei-Ta, editor, Cui, Peng, editor, Choi, Jung-Woo, editor, Hu, Min-Chun, editor, and De Neve, Wesley, editor

Published
2020
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9. Multimodel Music Emotion Recognition Using Unsupervised Deep Neural Networks

Author

Zhou, Jianchao, Chen, Xiaoou, Yang, Deshun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Li, Wei, editor, Li, Shengchen, editor, Shao, Xi, editor, and Li, Zijin, editor

Published
2019
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10. Triplet Convolutional Network for Music Version Identification

Author

Qi, Xiaoyu, Yang, Deshun, Chen, Xiaoou, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Schoeffmann, Klaus, editor, Chalidabhongse, Thanarat H., editor, Ngo, Chong Wah, editor, Aramvith, Supavadee, editor, O’Connor, Noel E., editor, Ho, Yo-Sung, editor, Gabbouj, Moncef, editor, and Elgammal, Ahmed, editor

Published
2018
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11. Efficient Two-Layer Model Towards Cover Song Identification

Author

Xu, Xiaoshuo, Cheng, Yao, Chen, Xiaoou, Yang, Deshun, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Schoeffmann, Klaus, editor, Chalidabhongse, Thanarat H., editor, Ngo, Chong Wah, editor, Aramvith, Supavadee, editor, O’Connor, Noel E., editor, Ho, Yo-Sung, editor, Gabbouj, Moncef, editor, and Elgammal, Ahmed, editor

Published
2018
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16. Smoke Detection Based on a Semi-supervised Clustering Model

Author

He, Haiqian, Peng, Liqun, Yang, Deshun, Chen, Xiaoou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gurrin, Cathal, editor, Hopfgartner, Frank, editor, Hurst, Wolfgang, editor, Johansen, Håvard, editor, Lee, Hyowon, editor, and O’Connor, Noel, editor

Published
2014
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20. Using Earth Mover’s Distance for Audio Clip Retrieval

Author

Peng, Yuxin, Fang, Cuihua, Chen, Xiaoou, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhuang, Yueting, editor, Yang, Shi-Qiang, editor, Rui, Yong, editor, and He, Qinming, editor

Published
2006
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40. A case of methylprednisolone treatment for interstitial pneumonia induced by gefitinibin

Author

Yan, Jun, Wang, Chun, Zhang, Qinfang, Chen, Xiaoou, and Yu, Weiwei

Subjects
Case Report, respiratory tract diseases
Abstract

In this case, an old man was diagnosed as lung cancer, clinical stage IV. In order to alleviate cancer, this patient was treated with gefitinib. Three months later, symptoms such as a significant weakness, chest tightness and shortness of breath after sports arised and intensifying. Implosive therapy with high dose methylprednisolone is used to control the weakness caused by gefitinib. Eight days after treatment, patient’s condition significantly improved. The use of methylprednisolone can effectively treat interstitial pneumonia induced by gefitinibin, help patients get better from critical condition such as type I respiratory failure. This new discovery is a good guidance for clinical treatment of gefitinibin caused interstitial pneumonia.

Published
2015

45. Beatsens' Solution for MediaEval 2014 Emotion in Music Task

Author

Yang, Wanyi, Cai, Kang, Wu, Bin, Wang, Ying, Chen, Xiaoou, Yang, Deshun, Horner, Andrew, Yang, Wanyi, Cai, Kang, Wu, Bin, Wang, Ying, Chen, Xiaoou, Yang, Deshun, and Horner, Andrew

Abstract

In this paper, we describe the Beatsens Team solution of Emotion in Music task in MediaEval benchmarking cam- paign 2014. We extracted and designed several sets of fea- tures and used continuous conditional random eld(CCRF) for dynamic emotion characterization task. The best run- s for Pearson correlation are 0:23 ± 0:56 and 0:12 ± 0:55 of valence and arousal respectively, for RMSE are 0:12 ±0:06 and 0:09 ±0:05.

Published
2014

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