SLP-P31: Speech analysis
Thu, 18 Apr, 16:30 - 18:30 (UTC +9)
Location: Poster Zone 4B
Session Type: Poster
Session Co-Chairs: Lei Wang, Huawei International and Jon Gudnason, Reykjavik University
Track: Speech and Language Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

SLP-P31.1: THE 2ND CLARITY PREDICTION CHALLENGE: A MACHINE LEARNING CHALLENGE FOR HEARING AID INTELLIGIBILITY PREDICTION
Jon Barker, University of Sheffield, United Kingdom of Great Britain and Northern Ireland; Michael Akeroyd, University of Nottingham, United Kingdom of Great Britain and Northern Ireland; Will Bailey, University of Sheffield, United Kingdom of Great Britain and Northern Ireland; Trevor Cox, University of Salford, United Kingdom of Great Britain and Northern Ireland; John Culling, Cardiff University, United Kingdom of Great Britain and Northern Ireland; Jennifer Firth, University of Nottingham, United Kingdom of Great Britain and Northern Ireland; Simone Graetzer, University of Salford, United Kingdom of Great Britain and Northern Ireland; Graham Naylor, University of Nottingham, United Kingdom of Great Britain and Northern Ireland
 

SLP-P31.2: BUILD A 50+ HOURS CHINESE MANDARIN CORPUS FOR CHILDREN’S SPEECH RECOGNITION
Hao Xu, Jing Yang, Jiahao Wang, Wenxin Hu, East China Normal University, China
 

SLP-P31.3: ANONYMIZING SPEAKER VOICES: EASY TO IMITATE, DIFFICULT TO RECOGNIZE?
Jennifer Williams, University of Southampton, United Kingdom of Great Britain and Northern Ireland; Karla Pizzi, TU Munich; Fraunhofer AISEC, Germany; Natalia Tomashenko, University of Avignon, France; Sneha Das, TU Denmark, Denmark
 

SLP-P31.4: BWSNET: AUTOMATIC PERCEPTUAL ASSESSMENT OF AUDIO SIGNALS
Clément Le Moine Veillon, IRCAM, CNRS, Sorbonne Université, STMS lab, France; Victor Rosi, Department of Speech Hearing and Phonetic Sciences, University College London, United Kingdom of Great Britain and Northern Ireland; Pablo Arias Sarah, School of Psychology and Neuroscience, University of Glasgow, United Kingdom of Great Britain and Northern Ireland; Léane Salais, Nicolas Obin, IRCAM, CNRS, Sorbonne Université, STMS lab, France
 

SLP-P31.5: THE EFFECTS OF LOUDNESS AND SMILING ON TIMBRE FEATURES: IMPLICATIONS FOR CHARISMATIC VOICES IN MANDARIN, GERMAN AND DANISH
Rongjie Shi, Nanjing Normal University, China; Oliver Niebuhr, University of Southern Denmark, Denmark; Wentao Gu, Nanjing Normal University, China; Nafiseh Taghva, Shiraz University, Iran (Islamic Republic of)
 

SLP-P31.6: SELF-SUPERVISED MODELS OF SPEECH INFER UNIVERSAL ARTICULATORY KINEMATICS
Cheol Jun Cho, UC Berkeley, United States of America; Abdelrahman Mohamed, Rembrand, United States of America; Alan W Black, Carnegie Melon University, United States of America; Gopala K. Anumanchipalli, UC Berkeley, United States of America
 

SLP-P31.7: DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis
Yu Gu, Qiushi Zhu, Guangzhi Lei, Chao Weng, Dan Su, Tencent AI Lab, China
 

SLP-P31.8: EMALG: AN ENHANCED MANDARIN LOMBARD GRID CORPUS WITH MEANINGFUL SENTENCES
Baifeng Li, School of Computer Science, Wuhan University, China; Qingmu Liu, Wuhan University, China; Yuhong Yang, School of Computer Science, Wuhan University, China; Hongyang Chen, Weiping Tu, Wuhan University, China; Song lin, OPPO, China
 

SLP-P31.9: ASSESSING VIBROACOUSTIC SOUND MASSAGE THROUGH THE BIOSIGNAL OF HUMAN SPEECH: EVIDENCE OF IMPROVED WELLBEING
Charlotte Fooks, Oliver Niebuhr, University of Southern Denmark, Denmark
 

SLP-P31.10: TOWARDS AN INTERPRETABLE REPRESENTATION OF SPEAKER IDENTITY VIA PERCEPTUAL VOICE QUALITIES
Robin Netzorg, Bohan Yu, Andrea Guzman, Peter Wu, UC Berkeley, United States of America; Luna McNulty, Brown University, United States of America; Gopala Krishna Anumanchipalli, UC Berkeley, United States of America
 

SLP-P31.11: Evaluation of an Improved ultrasonic imaging Helmet for observing Articulatory data
Yuxuan Li, Jianguo Wei, Tianjin University, China; Qiang Fang, Chinese Academy of Social Sciences, China; Xugang Lu, National Institute of Information and Communications Technology, Japan
 

SLP-P31.12: DO LEARNED SPEECH SYMBOLS FOLLOW ZIPF’S LAW?
Shinnosuke Takamichi, Hiroki Maeda, Joonyong Park, Daisuke Saito, Hiroshi Saruwatari, The University of Tokyo, Japan
 

SLP-P31.13: Crowdsourced and Automatic Speech Prominence Estimation
Max Morrison, Pranav Pawar, Nathan Pruyne, Jennifer Cole, Bryan Pardo, Northwestern University, United States of America