2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

SPE-30: Speech Processing 2: General Topics

Session Type: Poster
Time: Wednesday, 9 June, 16:30 - 17:15
Location: Gather.Town
 
SPE-30.1: HUMANACGAN: CONDITIONAL GENERATIVE ADVERSARIAL NETWORK WITH HUMAN-BASED AUXILIARY CLASSIFIER AND ITS EVALUATION IN PHONEME PERCEPTION
         Yota Ueda; University of Tokyo
         Kazuki Fujii; National Institute of Technology, Tokuyama College
         Yuki Saito; University of Tokyo
         Shinnosuke Takamichi; University of Tokyo
         Yukino Baba; University of Tsukuba
         Hiroshi Saruwatari; University of Tokyo
 
SPE-30.2: IMPROVING AUDIO ANOMALIES RECOGNITION USING TEMPORAL CONVOLUTIONAL ATTENTION NETWORK
         Qiang Huang; University of Sheffield
         Thomas Hain; University of Sheffield
 
SPE-30.3: GENERATIVE SPEECH CODING WITH PREDICTIVE VARIANCE REGULARIZATION
         W Bastiaan Kleijn; Victoria University of Wellington
         Andrew Storus; Google
         Michael Chinen; Google
         Tom Denton; Google
         Felicia S. C. Lim; Google
         Alejandro Luebs; Google
         Jan Skoglund; Google
         Hengchin Yeh; Google
 
SPE-30.4: HOW TO MAKE TEXT-TO-SPEECH SYSTEM PRONOUNCE “VOLDEMORT”: AN EXPERIMENTAL APPROACH OF FOREIGN WORD PHONEMIZATION IN VIETNAMESE
         Dang-Khoa Mac; Vingroup Big Data Institute
         Van-Huy Nguyen; Vingroup Big Data Institute
         Dinh-Nghi Nguyen; Vingroup Big Data Institute
         Kim-Anh Nguyen; Vingroup Big Data Institute
 
SPE-30.5: HOW SIMILAR OR DIFFERENT IS RAKUGO SPEECH SYNTHESIZER TO PROFESSIONAL PERFORMERS?
         Shuhei Kato; National Institute of Informatics
         Yusuke Yasuda; National Institute of Informatics
         Xin Wang; National Institute of Informatics
         Erica Cooper; National Institute of Informatics
         Junichi Yamagishi; National Institute of Informatics
 
SPE-30.6: DNSMOS: A NON-INTRUSIVE PERCEPTUAL OBJECTIVE SPEECH QUALITY METRIC TO EVALUATE NOISE SUPPRESSORS
         Chandan Karadagur Ananda Reddy; Microsoft
         Vishak Gopal; Microsoft
         Ross Cutler; Microsoft
 
SPE-30.7: A CAUSAL DEEP LEARNING FRAMEWORK FOR CLASSIFYING PHONEMES IN COCHLEAR IMPLANTS
         Kevin Chu; Duke University
         Leslie Collins; Duke University
         Boyla Mainsah; Duke University