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SPE-28: Speech Recognition 10: Robustness to Human Speech Variability

Session Type: Poster

Time: Wednesday, 9 June, 16:30 - 17:15

Location: Gather.Town

Session Chair: Yifan Gong, Microsoft

SPE-28.1: REDAT: ACCENT-INVARIANT REPRESENTATION FOR END-TO-END ASR BY DOMAIN ADVERSARIAL TRAINING WITH RELABELING

Hu Hu; Georgia Institute of Technology

Xuesong Yang; Amazon Alexa Speech

Zeynab Raeesy; Amazon Alexa Speech

Jinxi Guo; Amazon Alexa Speech

Gokce Keskin; Amazon Alexa Speech

Harish Arsikere; Amazon Alexa Speech

Ariya Rastrow; Amazon Alexa Speech

Andreas Stolcke; Amazon Alexa Speech

Roland Maas; Amazon Alexa Speech

SPE-28.2: AISPEECH-SJTU ASR SYSTEM FOR THE ACCENTED ENGLISH SPEECH RECOGNITION CHALLENGE

Tian Tan; Aispeech

Yizhou Lu; Shanghai Jiao Tong University

Rao Ma; Shanghai Jiao Tong University

Sen Zhu; Aispeech

Jiaqi Guo; Aispeech

Yanmin Qian; Shanghai Jiao Tong University

SPE-28.3: END-TO-END MULTI-ACCENT SPEECH RECOGNITION WITH UNSUPERVISED ACCENT MODELLING

Song Li; Xiamen University

Beibei Ouyang; Xiamen University

Dexin Liao; Xiamen University

Shipeng Xia; Xiamen University

Lin Li; Xiamen University

Qingyang Hong; Xiamen University

SPE-28.4: A COMPARATIVE STUDY OF ACOUSTIC AND LINGUISTIC FEATURES CLASSIFICATION FOR ALZHEIMER’S DISEASE DETECTION

Jinchao Li; The Chinese University of Hong Kong

Jianwei Yu; The Chinese University of Hong Kong

Ye Zi; The Chinese University of Hong Kong

Simon Wong; The Chinese University of Hong Kong

Manwai Mak; The Hong Kong Polytechnic University

Brian Mak; The Hong Kong University of Science and Technology

Xunying Liu; The Chinese University of Hong Kong

Helen Meng; The Chinese University of Hong Kong

SPE-28.5: SYNTHESIS OF NEW WORDS FOR IMPROVED DYSARTHRIC SPEECH RECOGNITION ON AN EXPANDED VOCABULARY

John Harvill; University of Illinois at Urbana-Champaign

Dias Issa; Korea Advanced Institute of Science and Technology (KAIST)

Mark Hasegawa-Johnson; University of Illinois at Urbana-Champaign

Changdong Yoo; Korea Advanced Institute of Science and Technology (KAIST)

SPE-28.6: DEVELOPMENT OF THE CUHK ELDERLY SPEECH RECOGNITION SYSTEM FOR NEUROCOGNITIVE DISORDER DETECTION USING THE DEMENTIABANK CORPUS

Zi Ye; The Chinese University of Hong Kong

Shoukang Hu; The Chinese University of Hong Kong

Jinchao Li; The Chinese University of Hong Kong

Xurong Xie; The Chinese University of Hong Kong

Mengzhe Geng; The Chinese University of Hong Kong

Jianwei Yu; The Chinese University of Hong Kong

Junhao Xu; The Chinese University of Hong Kong

Boyang Xue; The Chinese University of Hong Kong

Shansong Liu; The Chinese University of Hong Kong