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Detection, Paralinguistics and Coding

Session Type: Poster

Time: Wednesday, December 19, 13:30 - 15:30

Location: Kallirhoe Hall

1: EXPLORING END-TO-END ATTENTION-BASED NEURAL NETWORKS FOR NATIVE LANGUAGE IDENTIFICATION

Rutuja Ubale; Educational Testing Service Research

Yao Qian; Educational Testing Service Research

Keelan Evanini; Educational Testing Service Research

2: ANALYSING THE PREDICTIONS OF A CNN-BASED REPLAY SPOOFING DETECTION SYSTEM

Bhusan Chettri; Queen Mary University of London

Saumitra Mishra; Queen Mary University of London

Bob L. Sturm; KTH Royal Institute of Engineering

Emmanouil Benetos; Queen Mary University of London

3: IMPROVED CONDITIONAL GENERATIVE ADVERSARIAL NET CLASSIFICATION FOR SPOKEN LANGUAGE RECOGNITION

Xiaoxiao Miao; The University of Kent / Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics / University of Chinese Academy of Sciences

Ian McLoughlin; The University of Kent

Shengyu Yao; Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics / University of Chinese Academy of Sciences

Yonghong Yan; Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics / University of Chinese Academy of Sciences / Xinjiang Key Laboratory of Minority Speech and Language Information Processing, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences

4: UNSUPERVISED REPRESENTATION LEARNING OF SPEECH FOR DIALECT IDENTIFICATION

Suwon Shon; Massachusetts Institute of Technology

Wei-Ning Hsu; Massachusetts Institute of Technology

James Glass; Massachusetts Institute of Technology

5: MULTIMODAL SPEECH EMOTION RECOGNITION USING AUDIO AND TEXT

Seunghyun Yoon; Seoul National University

Seokhyun Byun; Seoul National University

Kyomin Jung; Seoul National University

6: POSTERIOR CALIBRATION FOR MULTI-CLASS PARALINGUISTIC CLASSIFICATION

Gábor Gosztolya; MTA-SZTE Research Group on Artificial Intelligence

Róbert Busa-Fekete; Yahoo Research Inc.

7: CONTEXT-AWARE ATTENTION MECHANISM FOR SPEECH EMOTION RECOGNITION