{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T01:54:41Z","timestamp":1729648481818,"version":"3.28.0"},"reference-count":35,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1109\/icassp.2017.7953081","type":"proceedings-article","created":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T21:35:36Z","timestamp":1497994536000},"page":"4865-4869","source":"Crossref","is-referenced-by-count":3,"title":["Improved cepstra minimum-mean-square-error noise reduction algorithm for robust speech recognition"],"prefix":"10.1109","author":[{"given":"Jinyu","family":"Li","sequence":"first","affiliation":[]},{"given":"Yan","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Yifan","family":"Gong","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","article-title":"Long short-term memory recurrent neural network architectures for large scale acoustic modeling","author":"sak","year":"2014","journal-title":"Proc INTERSPEECH"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"journal-title":"ETSI","article-title":"Speech processing, transmission and quality aspects (STQ); distributed speech recognition; advanced front-end feature extraction algorithm; compression algorithms","year":"2002","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-1684(01)00128-1"},{"key":"ref35","article-title":"Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the echo state network approach","author":"jaeger","year":"2002","journal-title":"Gmd Report 159 GMD-German National Research Institute for Computer Science"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472084"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2011.6163900"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2134090"},{"key":"ref12","article-title":"application of pretrained deep neural networks to large vocabulary speech recognition","author":"jaitly","year":"2012","journal-title":"Proc INTERSPEECH"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639345"},{"key":"ref15","article-title":"The USTC-iFlytek system for CHiME-4 challenge","author":"du","year":"2016","journal-title":"CHiME Workshop"},{"key":"ref16","article-title":"The RWTH\/UPB\/FORTH system combination for the 4th CHiME challenge evaluation","author":"menne","year":"2016","journal-title":"CHiME Workshop"},{"key":"ref17","article-title":"Wide residual BLSTM network with discriminative speaker adaptation for robust speech recognition","author":"heymann","year":"2016","journal-title":"CHiME Workshop"},{"key":"ref18","article-title":"Multi-channel speech recognition: LSTMs all the way through","author":"erdogan","year":"2016","journal-title":"CHiME Workshop"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639100"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1109\/TASSP.1984.1164453","article-title":"Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator","volume":"32","author":"ephraim","year":"1984","journal-title":"IEEE Transactions on Acoustics Speech and Signal Processing"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-49127-9_33"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/97.988717"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/0167-6393(94)00059-J"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/9781118392683"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2003.811544"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21317-5_5"},{"journal-title":"Robust Automatic Speech Recognition A Bridge to Practical Applications","year":"2015","author":"li","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2304637"},{"journal-title":"Robustness in Automatic Speech Recognition Fundamentals and Applications","year":"1995","author":"junqua","key":"ref2"},{"key":"ref9","article-title":"Roles of pretraining and fine-tuning in context-dependent DBN-HMMs for real-world speech recognition","author":"yu","year":"2010","journal-title":"Proc NIPS Workshop on Deep Learning and Unsupervised Feature Learning"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3122-7"},{"key":"ref20","first-page":"3002","article-title":"An investigation of spectral restoration algorithms for deep neural networks based noise robust speech recognition","author":"li","year":"2013","journal-title":"Proc INTERSPEECH"},{"key":"ref22","article-title":"A minimum-mean-square-error noise reduction algorithm on Mel-frequency cepstra for robust speech recognition","author":"yu","year":"2008","journal-title":"Proc ICASSP"},{"key":"ref21","article-title":"Feature Learning in Deep Neural Networks-Studies on Speech Recognition","author":"yu","year":"2013","journal-title":"International Conference on Learning Representations"},{"key":"ref24","article-title":"The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions","author":"hirsch","year":"2000","journal-title":"Proc ISCA ITRW ASR"},{"key":"ref23","article-title":"Aurora working group: DSR front end LVCSR evaluation AU\/384\/02","author":"parihar","year":"2002","journal-title":"Inst Signal Inform Process Mississippi State Univ"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1985.1164550"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2015.7404837"}],"event":{"name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2017,3,5]]},"location":"New Orleans, LA","end":{"date-parts":[[2017,3,9]]}},"container-title":["2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7943262\/7951776\/07953081.pdf?arnumber=7953081","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,26]],"date-time":"2019-09-26T11:26:26Z","timestamp":1569497186000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7953081\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/icassp.2017.7953081","relation":{},"subject":[],"published":{"date-parts":[[2017,3]]}}}