{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T02:39:42Z","timestamp":1730342382036,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.23919\/apsipa.2018.8659784","type":"proceedings-article","created":{"date-parts":[[2019,3,11]],"date-time":"2019-03-11T23:34:55Z","timestamp":1552347295000},"page":"1435-1439","source":"Crossref","is-referenced-by-count":0,"title":["Relevant Phonetic-aware Neural Acoustic Models using Native English and Japanese Speech for Japanese-English Automatic Speech Recognition"],"prefix":"10.23919","author":[{"given":"Ryo","family":"Masumura","sequence":"first","affiliation":[]},{"given":"Suguru","family":"Kabashima","sequence":"additional","affiliation":[]},{"given":"Takafumi","family":"Moriya","sequence":"additional","affiliation":[]},{"given":"Satoshi","family":"Kobashikawa","sequence":"additional","affiliation":[]},{"given":"Yoshikazu","family":"Yamaguchi","sequence":"additional","affiliation":[]},{"given":"Yushi","family":"Aono","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639100"},{"key":"ref11","first-page":"2670","article-title":"Dynamic noise aware training for speech enhancement based on deep neural networks","author":"xu","year":"2014","journal-title":"Proc Annual Conference of the International Speech Communication Association (INTERSPEECH)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953157"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178925"},{"key":"ref14","first-page":"761","article-title":"Distance-aware DNNs for robust speech recognition","author":"miao","year":"2015","journal-title":"Proc Annual Conference of the International Speech Communication Association (INTERSPEECH)"},{"key":"ref15","first-page":"5575","article-title":"Exploring the role of phonetic bottlececk features for speaker and language rocognition","author":"mclaren","year":"2016","journal-title":"Proc International Conference on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953160"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472771"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639084"},{"key":"ref19","first-page":"7304","article-title":"Cross-lingual knowledge transfer using multilingual deep neural network with shared hidden layers","author":"huang","year":"2013","journal-title":"Proc International Conference on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/B:IJST.0000017014.52972.1d"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1109\/ICASSP.2003.1198837","article-title":"Comparison of acoustic model adaptation techniques on non-native speech","volume":"1","author":"wang","year":"2003","journal-title":"Proc International Conference on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref6","first-page":"2977","article-title":"Multi-accent deep neural network acoustic model with accent-specific top layer using the KLD-regularized model adaptation","author":"huang","year":"2014","journal-title":"Proc Annual Conference of the International Speech Communication Association (INTERSPEECH)"},{"key":"ref5","first-page":"1652","article-title":"Automatic speech recognition of multiple accented English data","author":"vergyri","year":"2010","journal-title":"Proc Annual Conference of the International Speech Communication Association (INTERSPEECH)"},{"key":"ref8","first-page":"6334","article-title":"I-vector-bascd speaker adaptation of deep neural networks for French broadcast audio transcription","author":"gupta","year":"2014","journal-title":"Proc International Conference on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707705"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2134090"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2014.7078569"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639348"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2006.889790"},{"key":"ref21","first-page":"714","article-title":"An investigation of deep neural networks for multilingual speech recognition training and adaptation","author":"tong","year":"2017","journal-title":"Proc Annual Conference of the International Speech Communication Association (INTERSPEECH)"}],"event":{"name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","start":{"date-parts":[[2018,11,12]]},"location":"Honolulu, HI, USA","end":{"date-parts":[[2018,11,15]]}},"container-title":["2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8648538\/8659446\/08659784.pdf?arnumber=8659784","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T23:02:30Z","timestamp":1598223750000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8659784\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":22,"URL":"https:\/\/doi.org\/10.23919\/apsipa.2018.8659784","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}