{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T21:06:26Z","timestamp":1730322386061,"version":"3.28.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,12,6]]},"DOI":"10.1145\/3386415.3386968","type":"proceedings-article","created":{"date-parts":[[2020,5,31]],"date-time":"2020-05-31T00:22:36Z","timestamp":1590884556000},"page":"1-5","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Monaural Speech Separation of Specific Speaker Based on Deep Learning"],"prefix":"10.1145","author":[{"given":"Yixuan","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electronic Engineering, Guangxi Normal University, Guilin China"}]},{"given":"Weiping","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Guangxi Normal University, Guilin China"}]},{"given":"Liting","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Guangxi Normal University, Guilin China"}]}],"member":"320","published-online":{"date-parts":[[2020,5,30]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"5","article-title":"Single Channel speech separation based on empirical mode decomposition and Hilbert Transform. IET Signal Processing","volume":"11","author":"Mundodu Krishna P.K.","year":"2017","unstructured":"P.K. Mundodu Krishna and K. Ramaswamy . 2017 . Single Channel speech separation based on empirical mode decomposition and Hilbert Transform. IET Signal Processing . IET 11 , 5 (July. 2017), 579--586. P.K. Mundodu Krishna and K. Ramaswamy. 2017. Single Channel speech separation based on empirical mode decomposition and Hilbert Transform. IET Signal Processing. IET 11, 5 (July. 2017), 579--586.","journal-title":"IET"},{"key":"e_1_3_2_1_2_1","first-page":"1","article-title":"Collaborative Blind Source Separation Using Location Informed Spatial Microphones. IEEE Signal Processing Letters","volume":"20","author":"Zheng X.","year":"2013","unstructured":"X. Zheng , C. Rit z and J. Xi . 2013 . Collaborative Blind Source Separation Using Location Informed Spatial Microphones. IEEE Signal Processing Letters . IEEE 20 , 1 (Jan. 2013), 83--86. X. Zheng, C. Rit z and J. Xi. 2013. Collaborative Blind Source Separation Using Location Informed Spatial Microphones. IEEE Signal Processing Letters. IEEE 20, 1 (Jan. 2013), 83--86.","journal-title":"IEEE"},{"key":"e_1_3_2_1_3_1","first-page":"2","article-title":"Source-filter based single channel speech separation using pitch information","volume":"19","author":"Michael S.","year":"2011","unstructured":"S. Michael , W. Michael , P. Franz . 2011 . Source-filter based single channel speech separation using pitch information . IEEE Trans. Audio Speech Lang. Process. IEEE 19 , 2 (Feb. 2011), 242--254. S. Michael, W. Michael, P. Franz. 2011. Source-filter based single channel speech separation using pitch information. IEEE Trans. Audio Speech Lang. Process. IEEE 19, 2 (Feb. 2011), 242--254.","journal-title":"IEEE Trans. Audio Speech Lang. Process. IEEE"},{"key":"e_1_3_2_1_4_1","first-page":"1","article-title":"An Experimental Study on Speech Enhancement Based on Deep Neural Networks. IEEE Signal Processing Letters","volume":"21","author":"Xu Y.","year":"2014","unstructured":"Y. Xu , J. Du , L. Dai and C. Lee . 2014 . An Experimental Study on Speech Enhancement Based on Deep Neural Networks. IEEE Signal Processing Letters . IEEE 21 , 1 (Jan. 2014), 65--68. Y. Xu, J. Du, L. Dai and C. Lee. 2014. An Experimental Study on Speech Enhancement Based on Deep Neural Networks. IEEE Signal Processing Letters. IEEE 21, 1 (Jan. 2014), 65--68.","journal-title":"IEEE"},{"key":"e_1_3_2_1_5_1","first-page":"8","article-title":"A regression approach to single channel speech separation via high resolution deep neural networks","volume":"24","author":"Jun D.","year":"2016","unstructured":"D. Jun , T. Yanhui , D. Lirong 2016 . A regression approach to single channel speech separation via high resolution deep neural networks . IEEE Trans. Audio Speech Lang. Process. IEEE 24 , 8 (Aug. 2016), 1424--1437. D. Jun, T. Yanhui, D. Lirong et al. 2016. A regression approach to single channel speech separation via high resolution deep neural networks. IEEE Trans. Audio Speech Lang. Process. IEEE 24, 8 (Aug. 2016), 1424--1437.","journal-title":"IEEE Trans. Audio Speech Lang. Process. IEEE"},{"key":"e_1_3_2_1_6_1","first-page":"12","article-title":"Joint optimization of masks and deep recurrent neural networks for monaural source separation","volume":"23","author":"Huang P.","year":"2015","unstructured":"P. Huang , K. Minje , H. Mark 2015 . Joint optimization of masks and deep recurrent neural networks for monaural source separation . IEEE Trans. Audio Speech Lang. Process. IEEE 23 , 12 (Dec. 2015), 2136--2147. P. Huang, K. Minje, H. Mark et al. 2015. Joint optimization of masks and deep recurrent neural networks for monaural source separation. IEEE Trans. Audio Speech Lang. Process. IEEE 23, 12 (Dec. 2015), 2136--2147.","journal-title":"IEEE Trans. Audio Speech Lang. Process. IEEE"},{"key":"e_1_3_2_1_7_1","first-page":"5","article-title":"A deep ensemble learning method for monaural speech separation","volume":"24","author":"Xiao L.","year":"2016","unstructured":"L. Xiao , W. DeLiang . 2016 . A deep ensemble learning method for monaural speech separation . IEEE Trans. Audio Speech Lang. Process. IEEE 24 , 5 (May. 2016), 967--977. L. Xiao, W. DeLiang. 2016. A deep ensemble learning method for monaural speech separation. IEEE Trans. Audio Speech Lang. Process. IEEE 24, 5 (May. 2016), 967--977.","journal-title":"IEEE Trans. Audio Speech Lang. Process. IEEE"},{"key":"e_1_3_2_1_8_1","unstructured":"K. W. E Lin B. B. T. E. Koh S. Lui D. Herremans. 2018. Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy. Neural Computing and Applications. K. W. E Lin B. B. T. E. Koh S. Lui D. Herremans. 2018. Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy. Neural Computing and Applications."},{"key":"e_1_3_2_1_9_1","volume-title":"Wave-u-net: A multi-scale neural network for end-to-end audio source separation. ISMIR.","author":"Stoller D.","year":"2017","unstructured":"D. Stoller , S. Ewert , S. Dixon , 2017 . Wave-u-net: A multi-scale neural network for end-to-end audio source separation. ISMIR. D. Stoller, S. Ewert, S. Dixon, 2017. Wave-u-net: A multi-scale neural network for end-to-end audio source separation. ISMIR."},{"key":"e_1_3_2_1_10_1","first-page":"2","article-title":"Monaural Source Separation in Complex Domain with Long Short-Term Memory Neural Network. IEEE Journal of Selected Topics in Signal Processing","volume":"13","author":"Sun Y.","year":"2019","unstructured":"Y. Sun , Y. Xian , W. Wang and S. M. Naqvi . 2019 . Monaural Source Separation in Complex Domain with Long Short-Term Memory Neural Network. IEEE Journal of Selected Topics in Signal Processing . IEEE 13 , 2 (May. 2019), 359--369. Y. Sun, Y. Xian, W. Wang and S. M. Naqvi. 2019. Monaural Source Separation in Complex Domain with Long Short-Term Memory Neural Network. IEEE Journal of Selected Topics in Signal Processing. IEEE 13, 2 (May. 2019), 359--369.","journal-title":"IEEE"},{"volume-title":"Proceeding of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, AB, 5404--5408","author":"Delfarah M.","key":"e_1_3_2_1_11_1","unstructured":"M. Delfarah and D. Wang . 2018. Recurrent Neural Networks for Cochannel Speech Separation in Reverberant Environments . In Proceeding of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, AB, 5404--5408 . M. Delfarah and D. Wang. 2018. Recurrent Neural Networks for Cochannel Speech Separation in Reverberant Environments. In Proceeding of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, AB, 5404--5408."},{"key":"e_1_3_2_1_12_1","first-page":"5","article-title":"Monaural speech segregation based on pitch tracking and amplitude modulation. IEEE Transactions on Neural Networks","volume":"15","year":"2004","unstructured":"Guoning Hu and DeLiang Wang. 2004 . Monaural speech segregation based on pitch tracking and amplitude modulation. IEEE Transactions on Neural Networks . IEEE 15 , 5 (Sept. 2004), 1135--1150. Guoning Hu and DeLiang Wang. 2004. Monaural speech segregation based on pitch tracking and amplitude modulation. IEEE Transactions on Neural Networks. IEEE 15, 5 (Sept. 2004), 1135--1150.","journal-title":"IEEE"},{"key":"e_1_3_2_1_13_1","first-page":"1849","article-title":"on training tragets for supervised speech separation. IEEE transactions on Audio. Speech and Language Processing","volume":"22","author":"Wang Y. X.","year":"2014","unstructured":"Y. X. Wang , A. Narayannan , and D. L. Wang . 2014 . on training tragets for supervised speech separation. IEEE transactions on Audio. Speech and Language Processing . IEEE 22 , 12, 1849 -- 1858 . Y. X. Wang, A. Narayannan, and D. L. Wang. 2014. on training tragets for supervised speech separation. IEEE transactions on Audio. Speech and Language Processing. IEEE 22, 12, 1849--1858.","journal-title":"IEEE"},{"key":"e_1_3_2_1_14_1","first-page":"5","article-title":"Features for Masking-Based Monaural Speech Separation in Reverberant Conditions. In IEEE\/ACM Transactions on Audio, Speech, and Language Processing","volume":"25","author":"Delfarah M.","year":"2017","unstructured":"M. Delfarah and D. Wang . 2017 . Features for Masking-Based Monaural Speech Separation in Reverberant Conditions. In IEEE\/ACM Transactions on Audio, Speech, and Language Processing . IEEE 25 , 5 (May 2017), 1085--1094. M. Delfarah and D. Wang. 2017. Features for Masking-Based Monaural Speech Separation in Reverberant Conditions. In IEEE\/ACM Transactions on Audio, Speech, and Language Processing. IEEE 25, 5 (May 2017), 1085--1094.","journal-title":"IEEE"},{"volume-title":"Proceeding of the 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brisbane, QLD, 4390--4394","author":"Wang Y.","key":"e_1_3_2_1_15_1","unstructured":"Y. Wang and D. Wang . 2015. A deep neural network for time-domain signal reconstruction . In Proceeding of the 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brisbane, QLD, 4390--4394 . Y. Wang and D. Wang. 2015. A deep neural network for time-domain signal reconstruction. In Proceeding of the 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brisbane, QLD, 4390--4394."},{"key":"e_1_3_2_1_16_1","first-page":"4","article-title":"Performance measurement in blind audio source separation. IEEE Transactions on Audio, Speech, and Language Processing","volume":"14","author":"Vincent E.","year":"2006","unstructured":"E. Vincent , R. Gribonval and C. Fevotte . 2006 . Performance measurement in blind audio source separation. IEEE Transactions on Audio, Speech, and Language Processing . IEEE 14 , 4 (July. 2006), 1462--1469. E. Vincent, R. Gribonval and C. Fevotte. 2006. Performance measurement in blind audio source separation. IEEE Transactions on Audio, Speech, and Language Processing. IEEE 14, 4 (July. 2006), 1462--1469.","journal-title":"IEEE"}],"event":{"name":"ICITEE-2019: 2nd International Conference on Information Technologies and Electrical Engineering","acronym":"ICITEE-2019","location":"Zhuzhou Hunan China"},"container-title":["Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3386415.3386968","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,14]],"date-time":"2023-04-14T20:23:40Z","timestamp":1681503820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3386415.3386968"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,6]]},"references-count":16,"alternative-id":["10.1145\/3386415.3386968","10.1145\/3386415"],"URL":"https:\/\/doi.org\/10.1145\/3386415.3386968","relation":{},"subject":[],"published":{"date-parts":[[2019,12,6]]},"assertion":[{"value":"2020-05-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}