{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T09:55:12Z","timestamp":1764842112910,"version":"3.41.2"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/icassp.2018.8462161","type":"proceedings-article","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T22:24:48Z","timestamp":1537568688000},"page":"6707-6711","source":"Crossref","is-referenced-by-count":34,"title":["Speaker Adaptation for Multichannel End-to-End Speech Recognition"],"prefix":"10.1109","author":[{"given":"Tsubasa","family":"Ochiai","sequence":"first","affiliation":[]},{"given":"Shinji","family":"Watanabe","sequence":"additional","affiliation":[]},{"given":"Shigeru","family":"Katagiri","sequence":"additional","affiliation":[]},{"given":"Takaaki","family":"Hori","sequence":"additional","affiliation":[]},{"given":"John","family":"Hershey","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707705"},{"journal-title":"Speakeradaptation for hybrid hmm-ann continuous speech recognition system","year":"1995","author":"neta","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2006.11.005"},{"key":"ref13","first-page":"26","article-title":"A study of learning based beamforming methods for speech recognition","author":"xiao","year":"2016","journal-title":"Proc CHiME 2016 Workshop"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.1145\/2940147","article-title":"Multi-channel speech recognition: LSTMs all the way through","author":"hakan","year":"2016","journal-title":"Proc CHiME 2016 Workshop"},{"key":"ref15","first-page":"4835","article-title":"Joint CTC-attention based end-to-end speech recognition using multi-task learning","author":"kim","year":"2017","journal-title":"Proc ICASSP"},{"key":"ref16","article-title":"Does speech enhancement work with end-to-end ASR objectives?: experimental analysis of multichannel end-to-end ASR","author":"ochiai","year":"2017","journal-title":"IEEE International Workshop on Machine Learning for Signal Processing (MLSP)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3115\/1075527.1075614"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"949","DOI":"10.21437\/Interspeech.2017-1296","article-title":"Advances in joint CTC-attention based end-to-end speech recognition with a deep CNN encoder and RNN-LM","author":"hori","year":"2017","journal-title":"InterSpeech"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"christopher","key":"ref19"},{"key":"ref4","first-page":"1764","article-title":"Towards end-to-end speech recognition with recurrent neural networks","author":"graves","year":"2014","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472618"},{"key":"ref6","article-title":"A unified architecture for multichannel end-to-end speech recognition with neural beamforming","author":"tsubasa","year":"2017","journal-title":"IEEE Journal of Selected Topics in Signal Processing"},{"key":"ref5","article-title":"Multichannel end-to-end speech recognition","author":"ochiai","year":"2017","journal-title":"International Conference on Machine Learing (ICML)"},{"key":"ref8","article-title":"An analysis of environment, microphone and data simulation mismatches in robust speech recognition","author":"vincent","year":"2016","journal-title":"Computer Speech & Language"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2015.7404837"},{"key":"ref2","first-page":"577","article-title":"Attention-based models for speech recognition","author":"chorowski","year":"2015","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/MSP.2012.2205597","article-title":"Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups","volume":"29","author":"geoffrey","year":"2012","journal-title":"IEEE Signal Processing Magazine"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639212"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2005.858005"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2009.2025790"},{"key":"ref21","first-page":"749","article-title":"Perceptual evaluation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs","volume":"2","author":"antony","year":"2001","journal-title":"Proc ICASSP"},{"key":"ref23","volume":"1","author":"benesty","year":"2008","journal-title":"Microphone Array Signal Processing"}],"event":{"name":"ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2018,4,15]]},"location":"Calgary, AB","end":{"date-parts":[[2018,4,20]]}},"container-title":["2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8450881\/8461260\/08462161.pdf?arnumber=8462161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T18:21:56Z","timestamp":1751998916000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8462161\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icassp.2018.8462161","relation":{},"subject":[],"published":{"date-parts":[[2018,4]]}}}