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ICASSP
2010
IEEE
14 years 7 months ago
Speech enhancement with sparse coding in learned dictionaries
The enhancement of speech degraded by non-stationary interferers is a highly relevant and difficult task of many signal processing applications. We present a monaural speech enhan...
Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann
TASLP
2008
133views more  TASLP 2008»
14 years 9 months ago
Evaluation of Objective Quality Measures for Speech Enhancement
In this paper, we evaluate the performance of several objective measures in terms of predicting the quality of noisy speech enhanced by noise suppression algorithms. The objective ...
Yi Hu, Philipos C. Loizou
ESANN
2007
14 years 11 months ago
A hierarchical model for syllable recognition
Inspired by recent findings on the similarities between the primary auditory and visual cortex we propose a neural network for speech recognition based on a hierarchical feedforw...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
ICASSP
2010
IEEE
14 years 8 months ago
Simple methods for improving speaker-similarity of HMM-based speech synthesis
In this paper we revisit some basic configuration choices of HMMbased speech synthesis, such as waveform sampling rate, auditory frequency warping scale and the logarithmic scali...
Junichi Yamagishi, Simon King
TASLP
2010
117views more  TASLP 2010»
14 years 4 months ago
Speech Enhancement Using Gaussian Scale Mixture Models
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski