Thu PM2.L1.4
LATENT-BASED NEURAL NET FOR NON-INTRUSIVE SPEECH QUALITY ASSESSMENT
Fredrik Cumlin, KTH Royal Institute of Technology, Sweden; Christian Schüldt, Google LLC, Sweden; Saikat Chatterjee, KTH Royal Institute of Technology, Sweden
Session:
Thu PM2.L1: Quality Assessment of Speech and Audio Lecture
Track:
ASMSP - Acoustic, Speech and Music Signal Processing
Location:
EUROPAEA
Presentation Time:
Thu, 7 Sep, 17:10 - 17:30 Finland Time (UTC +3)
Session Chair:
Richard Heusdens, Delft University of Technology - Netherlands Defence Academy
Presentation
Discussion
Resources
No resources available.
Session Thu PM2.L1
Thu PM2.L1.1: Auditory Model Optimization with Wavegram-CNN and Acoustic Parameter Models for Nonintrusive Speech Intelligibility Prediction in Hearing Aids
Candy Olivia Mawalim, Benita Angela Titalim, Shogo Okada, Masashi Unoki, Japan Advanced Institute of Science and Technology, Japan
Thu PM2.L1.2: Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment
Xiaoquan Li, Stephan Weiss, University of Strathclyde, United Kingdom; Yijun Yan, Yinhe Li, Jinchang Ren, Robert Gordon University, United Kingdom; John Soraghan, Ming Gong, University of Strathclyde, United Kingdom
Thu PM2.L1.3: Voice or Content? --- Exploring Impact of Speech Content on Age Estimation from Voice
Yuta Ide, Waseda University, Japan; Naohiro Tawara, NTT, Japan; Susumu Saito, Teppei Nakano, Tetsuji Ogawa, Waseda University, Japan
Thu PM2.L1.4: LATENT-BASED NEURAL NET FOR NON-INTRUSIVE SPEECH QUALITY ASSESSMENT
Fredrik Cumlin, KTH Royal Institute of Technology, Sweden; Christian Schüldt, Google LLC, Sweden; Saikat Chatterjee, KTH Royal Institute of Technology, Sweden
Thu PM2.L1.5: Oral Fluency Classification for Speech Assessment
Ashish Panda, Rajul Acharya, Sunil Kumar Kopparapu, TCS Research, India