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ICASSP
2010
IEEE
13 years 5 months ago
Quality assessment for listening-room compensation algorithms
In this contribution various objective measures that can be used to evaluate speech dereverberation algorithms by means of listeningroom compensation (LRC) are compared to subject...
Stefan Goetze, Eugen Albertin, Markus Kallinger, A...
ICASSP
2009
IEEE
14 years 11 days ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...
ICASSP
2011
IEEE
12 years 9 months ago
Linear Predictive perceptual filtering for Acoustic Vector Sensors: Exploiting directional recordings for high quality speech en
This paper investigates the performance of a new technique for speech enhancement which combines Linear Predictive (LP) spectrum-based perceptual filtering to the recordings obtai...
Muawiyath Shujau, Christian H. Ritz, Ian S. Burnet...
ICASSP
2010
IEEE
13 years 3 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
ICASSP
2011
IEEE
12 years 9 months ago
An evaluation of alaryngeal speech enhancement methods based on voice conversion techniques
In this study, we evaluate our proposed methods for enhancing alaryngeal speech based on statistical voice conversion techniques. Voice conversion based on a Gaussian mixture mode...
Hironori Doi, Keigo Nakamura, Tomoki Toda, Hiroshi...