• Home
•  
• Call for Papers
• Paper Status
• Registration
• Workshops
• Exhibits
•  
• Technical Program
• Side Meetings
• Tutorials
• Plenaries
• Special Sessions
• Panel Sessions
• My Schedule
•  
• Practicalities
• Housing & Venue
• Special Events
• Visits
• Supporters
•  
• Contact / Discussion
• Organizing Committee
• Program Committee
• Review Committee
•  
• Related Conferences

Technical Program

Paper Detail

Paper:	ITT-L1.4
Session:	Speech Processing Applications
Time:	Thursday, May 18, 17:30 - 17:50
Presentation:	Lecture
Topic:	Industry Technology Track: Speech Enhancement
Title:	MMSE Speech Spectral Amplitude Estimators with Chi and Gamma Speech Priors
Authors:	Ioannis Andrianakis, Paul White, University of Southampton, United Kingdom
Abstract:	We present two novel algorithms for optimal MMSE estimation of the speech spectral amplitude, assuming it has been corrupted by additive and uncorrelated noise. The noise DFT coefficients are modelled as Gaussian random variables, while the speech spectral amplitude is modelled using either a Chi or a Gamma distribution. The influence of the priors' shape parameter is investigated. Results from simulations that demonstrate the performance of the proposed algorithms for different noise types and SNRs, as well as a comparison with previously developed MAP estimators are presented.