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AASP-P14: Acoustic Event Detection and Speech Enhancement

Session Type: Poster
Time: Friday, May 17, 08:30 - 10:30
Location: Poster Area D, Ground Floor
Session Chair: Sven Nordholm, Curtin University
 
  AASP-P14.1: SCENE-DEPENDENT ANOMALOUS ACOUSTIC-EVENT DETECTION BASED ON CONDITIONAL WAVENET AND I-VECTOR
         Tatsuya Komatsu; NEC Corporation
         Tomoki Hayashi; Nagoya University
         Reishi Kondo; NEC Corporation
         Tomoki Toda; Nagoya University
         Kazuya Takeda; Nagoya University
 
  AASP-P14.2: TEACHER-STUDENT TRAINING FOR ACOUSTIC EVENT DETECTION USING AUDIOSET
         Ruibo Shi; Emotech Labs
         Raymond W. M. Ng; Emotech Labs
         Pawel Swietojanski; The University of New South Wales
 
  AASP-P14.3: ACTIVE LEARNING FOR EFFICIENT AUDIO ANNOTATION AND CLASSIFICATION WITH A LARGE AMOUNT OF UNLABELED DATA
         Yu Wang; New York University
         Ana Elisa Mendez Mendez; New York University
         Mark Cartwright; New York University
         Juan Pablo Bello; New York University
 
  AASP-P14.4: POLYPHONIC SOUND EVENT DETECTION USING CONVOLUTIONAL BIDIRECTIONAL LSTM AND SYNTHETIC DATA-BASED TRANSFER LEARNING
         Seokwon Jung; Humelo Inc. / Korea Advanced Institute of Science and Technology (KAIST)
         Jungbae Park; Humelo Inc. / Korea Advanced Institute of Science and Technology (KAIST)
         Sangwan Lee; Korea Advanced Institute of Science and Technology / Humelo Inc.
 
  AASP-P14.5: A MULTI-SPIKE APPROACH FOR ROBUST SOUND RECOGNITION
         Qiang Yu; Tianjin University
         Yanli Yao; Tianjin University
         Longbiao Wang; Tianjin University
         Huajin Tang; Sichuan University
         Jianwu Dang; Tianjin University
 
  AASP-P14.6: CROSS EVALUATION OF SPEECH ENHANCEMENT METHODS UNDER DIFFERENT NOISE CONDITIONS
         Lara Nahma; Curtin University
         Pei Chee Yong; Nuheara
         Hai Huyen Dam; Curtin University
         Sven Nordholm; Curtin University
 
  AASP-P14.7: DIFFERENTIABLE CONSISTENCY CONSTRAINTS FOR IMPROVED DEEP SPEECH ENHANCEMENT
         Scott Wisdom; Google, Inc.
         John R. Hershey; Google, Inc.
         Kevin Wilson; Google, Inc.
         Jeremy Thorpe; Google, Inc.
         Michael Chinen; Google, Inc.
         Brian Patton; Google, Inc.
         Rif Saurous; Google, Inc.
 
  AASP-P14.8: A DEEP GENERATIVE MODEL OF SPEECH COMPLEX SPECTROGRAMS
         Aditya Arie Nugraha; RIKEN Center for Advanced Intelligence Project
         Kouhei Sekiguchi; RIKEN Center for Advanced Intelligence Project
         Kazuyoshi Yoshii; RIKEN Center for Advanced Intelligence Project
 
  AASP-P14.9: DNN TRAINING BASED ON CLASSIC GAIN FUNCTION FOR SINGLE-CHANNEL SPEECH ENHANCEMENT AND RECOGNITION
         Yanhui Tu; University of Science and Technology of China
         Jun Du; University of Science and Technology of China
         Chin-Hui Lee; Georgia Institute of Technology
 
  AASP-P14.10: SNIPER: FEW-SHOT LEARNING FOR ANOMALY DETECTION TO MINIMIZE FALSE-NEGATIVE RATE WITH ENSURED TRUE-POSITIVE RATE
         Yuma Koizumi; NTT Corporation
         Shin Murata; NTT Corporation
         Noboru Harada; NTT Corporation
         Shoichiro Saito; NTT Corporation
         Hisashi Uematsu; NTT Corporation