{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:24:22Z","timestamp":1730298262913,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/spcom.2018.8724388","type":"proceedings-article","created":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T18:48:36Z","timestamp":1559242116000},"page":"372-376","source":"Crossref","is-referenced-by-count":0,"title":["Broad Phoneme Class Specific Deep Neural Network Based Speech Enhancement"],"prefix":"10.1109","author":[{"given":"Pavan","family":"Karjol","sequence":"first","affiliation":[]},{"given":"Prasanta Kumar","family":"Ghosh","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"year":"2015","author":"he","journal-title":"Deep residual learning for image recognition","key":"ref10"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/LSP.2013.2291240"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/TASL.2012.2201471"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1162\/neco.1991.3.1.79"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/ICASSP.2016.7471654"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/IWAENC.2016.7602943"},{"key":"ref16","first-page":"625","article-title":"Why does unsupervised pre-training help deep learning?","volume":"11","author":"erhan","year":"2010","journal-title":"Journal of Machine Learning Research"},{"year":"2016","author":"kumar","journal-title":"Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks","key":"ref17"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.21437\/Interspeech.2013-130"},{"key":"ref19","first-page":"885","article-title":"Ensemble modeling of denoising autoencoder for speech spectrum restoration","volume":"14","author":"lu","year":"2014","journal-title":"InterSpeech"},{"key":"ref28","first-page":"1760","article-title":"A hierarchical broad-class classification to enhance phoneme recognition","author":"lopes","year":"2009","journal-title":"17th European Signal Processing Conference"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/TASSP.1985.1164550"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/ICASSP.2010.5495701"},{"key":"ref3","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":"ref6","first-page":"ii\/53","article-title":"A family of MLP based nonlinear spectral estimators for noise reduction","volume":"2","author":"xie","year":"1994","journal-title":"International Conference on Acoustics Speech and Signal Processing"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/ICASSP.1989.266851"},{"key":"ref8","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"2010","journal-title":"AISTATS"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1126\/science.1127647"},{"key":"ref2","first-page":"873","author":"cohen","year":"2008","journal-title":"Spectral enhancement methods"},{"key":"ref9","volume":"abs 1502 3167","author":"ioffe","year":"2015","journal-title":"Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1201\/b14529"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/TASLP.2014.2352935"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/TASLP.2014.2364452"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/ICASSP.2013.6639038"},{"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":"Automatic Speech Recognition Challenges for the new Millenium ISCA Tutorial and Research Workshop"},{"key":"ref23","volume":"107","author":"garofolo","year":"1988","journal-title":"Getting started with the DARPA TIMIT CD-ROM An acoustic phonetic continuous speech database"},{"year":"2001","journal-title":"Perceptual Evaluation of Speech Quality (PESQ) An Objective Method for End-to-End Speech Quality Assessment of Narrowband Telephone Networks and Speech Codecs","key":"ref26"},{"year":"2017","author":"chollet","journal-title":"Keras","key":"ref25"}],"event":{"name":"2018 International Conference on Signal Processing and Communications (SPCOM)","start":{"date-parts":[[2018,7,16]]},"location":"Bangalore, India","end":{"date-parts":[[2018,7,19]]}},"container-title":["2018 International Conference on Signal Processing and Communications (SPCOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8718087\/8724385\/08724388.pdf?arnumber=8724388","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T04:15:29Z","timestamp":1643256929000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8724388\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/spcom.2018.8724388","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}