AASP-P12.8
QUANTIFYING SPATIAL AUDIO QUALITY IMPAIRMENT
Karn N. Watcharasupat, Alexander Lerch, Georgia Institute of Technology, United States of America
Session:
AASP-P12: Music information retrieval 3; Quality and intelligibility measures Poster
Track:
Audio and Acoustic Signal Processing
Location:
Poster Zone 5A
Poster Board PZ-5A.8
Poster Board PZ-5A.8
Presentation Time:
Thu, 18 Apr, 08:20 - 10:20 (UTC +9)
Session Chair:
Steffan Lattner, Sony Computer Science Laboratories
Session AASP-P12
AASP-P12.1: ENHANCING NOTE-LEVEL SINGING TRANSCRIPTION MODEL WITH UNLABELED AND WEAKLY LABELED DATA
Yao Qiu, Jinchao Zhang, Yong Shan, Jie Zhou, Tencent, China
AASP-P12.2: MUSIC AUTO-TAGGING WITH ROBUST MUSIC REPRESENTATION LEARNED VIA DOMAIN ADVERSARIAL TRAINING
Haesun Joung, Kyogu Lee, Seoul National University, Korea, Republic of
AASP-P12.3: SIMILAR BUT FASTER: MANIPULATION OF TEMPO IN MUSIC AUDIO EMBEDDINGS FOR TEMPO PREDICTION AND SEARCH
Matthew McCallum, Florian Henkel, Jaehun Kim, Samuel Sandberg, Matthew Davies, SiriusXM-Pandora, United States of America
AASP-P12.4: A TRANSFORMER APPROACH FOR POLYPHONIC AUDIO-TO-SCORE TRANSCRIPTION
María Alfaro-Contreras, Antonio Ríos-Vila, Jose J. Valero-Mas, Jorge Calvo-Zaragoza, University of Alicante, Spain
AASP-P12.5: Multi-Scale Spectral Loss Revisited
Simon Schwär, Meinard Müller, International Audio Laboratories Erlangen, Germany
AASP-P12.6: SELECTING N-LOWEST SCORES FOR TRAINING MOS PREDICTION MODELS
Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, NTT Corporation, Japan
AASP-P12.7: ODAQ: OPEN DATASET OF AUDIO QUALITY
Matteo Torcoli, Fraunhofer Institute for Integrated Circuits IIS, Germany; Chih-Wei Wu, Netflix, Inc., United States of America; Sascha Dick, Fraunhofer Institute for Integrated Circuits IIS, Germany; Phillip Williams, Netflix, Inc., United States of America; Mhd Modar Halimeh, Fraunhofer Institute for Integrated Circuits IIS, Germany; William Wolcott, Netflix, Inc., United States of America; Emanuël Habets, Fraunhofer Institute for Integrated Circuits IIS, Germany
AASP-P12.8: QUANTIFYING SPATIAL AUDIO QUALITY IMPAIRMENT
Karn N. Watcharasupat, Alexander Lerch, Georgia Institute of Technology, United States of America
AASP-P12.9: MULTI-CHANNEL MOSRA: MEAN OPINION SCORE AND ROOM ACOUSTICS ESTIMATION USING SIMULATED DATA AND A TEACHER MODEL
Jozef Coldenhoff, École Polytechnique Fédérale de Lausanne, Switzerland; Andrew Harper, Paul Kendrick, Tijana Stojkovic, Milos Cernak, Logitech Europe S.A., Switzerland
AASP-P12.10: Crowdsourced multilingual speech intelligibility testing
Laura Lechler, Kamil Wojcicki, Cisco Systems, Inc., United Kingdom of Great Britain and Northern Ireland
AASP-P12.11: Multi-dimensional Speech Quality Assessment in Crowdsourcing
Babak Naderi, Ross Cutler, Nicolae Catalin Ristea, Microsoft, Germany
Contacts