The principal objective of the conference is to bring together researchers addressing perceptually motivated speech and audio processing tasks with the tools of statistical signal processing and machine learning. The themes of the conference are: Statistical models for speech and audio processing motivated by human perception Developing the commonalities between speech recognition and synthesis to provide richer and more sophisticated models for speech Adaptive learning approaches to speech and audio signal processing and their incorporation into statistical models

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Pitch Estimation Using Mutual Information
Yanbo Xu, University of Maryland College Park
Sept. 7, 2012 · 11:07 a.m.
Human sound perception - what can we learn from it when developing audio analysis algorithms?
Tuomas Virtanen, Tampere University of Technology
Sept. 7, 2012 · 11:46 a.m.
187 views
Cochlear Implant-like Processing of Speech Signal for Speaker Verification
Cong-Thanh Do, LIMSI-CNRS/Universite Paris-Sud
Sept. 7, 2012 · 1:14 p.m.
Speech intelligibility enhancement for HMM-based synthetic speech in noise
Cassia Valentini-Botinhao, University of Edinburgh
Sept. 7, 2012 · 1:37 p.m.
156 views
Non-Stationary Signal Processing and its Application in Speech Recognition
Zoltán Tüske, RWTH Aachen University
Sept. 7, 2012 · 2:29 p.m.
130 views
Language Identification using Spectro-Temporal Patch features
Kamal Sahn, CMU
Sept. 8, 2012 · 11:06 a.m.
143 views
Joint Detection and Localization of Multiple Speakers using a Probabilistic Steered Response Power
Youssef Oualil, Saarland University/Idiap
Sept. 8, 2012 · 11:31 a.m.
136 views
Structured Sparse Coding for Microphone Array Location Calibration
Afsaneh Asaei, Idiap/CMU
Sept. 8, 2012 · 11:55 a.m.
206 views
Inharmonic Speech: A Tool for the Study of Speech Perception and Separation
Dan Ellis, NYU/Columbia/Wakayama
Sept. 8, 2012 · 1:19 p.m.
Multi-Channel Speech Separation with Soft Time-Frequency Masking
Friedrich Faubel , Saarland University
Sept. 8, 2012 · 1:48 p.m.
219 views
Smoothing Speech Trajectories by Regularization
Louis ten Bosch, Radboud University Nijmegen
Sept. 8, 2012 · 2:06 p.m.
206 views
Data-driven Speech Representations for NMF-based Word Learning
Hugo Van hamme, KU Leuven
Sept. 8, 2012 · 2:51 p.m.
289 views
Spectro-Temporal Features with Distribution Equalization
Samuel K. Ngouoko M. , Bielefeld University/Honda Research
Sept. 8, 2012 · 3:18 p.m.
116 views
Log-normal matrix factorization with application to speech-music separation
Takuya Yoshioka, Sakaue Daichi, NTT Communication Science Laboratories
Sept. 8, 2012 · 3:46 p.m.
196 views