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ICASSP
2011
IEEE
12 years 8 months ago
Speech enhancement using a joint map estimator with Gaussian mixture model for (non-)stationary noise
In many applications non-stationary Gaussian or stationary nonGaussian noises can be observed. In this paper we present a maximum a posteriori estimation jointly of spectral ampli...
Balázs Fodor, Tim Fingscheidt
SPEECH
2008
124views more  SPEECH 2008»
13 years 4 months ago
Statistical mapping between articulatory movements and acoustic spectrum using a Gaussian mixture model
In this paper, we describe a statistical approach to both an articulatory-to-acoustic mapping and an acoustic-to-articulatory inversion mapping without using phonetic information....
Tomoki Toda, Alan W. Black, Keiichi Tokuda
TASLP
2010
117views more  TASLP 2010»
12 years 11 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
ICASSP
2011
IEEE
12 years 8 months ago
Speech bandwidth extension using Gaussian mixture model-based estimation of the highband mel spectrum
The quality and intelligibility of narrowband telephone speech can be enhanced by artifical bandwidth extension. This study combines Gaussian mixture model-based (GMM) mel spectr...
Hannu Pulakka, Ulpu Remes, Kalle J. Palomäki,...
ICASSP
2010
IEEE
13 years 4 months ago
Noisy speech enhancement based on prior knowledge about spectral envelope and harmonic structure
This paper considers the enhancement of noisy speech. Earlier studies have revealed that an approach that enhances spectral envelopes by using prior knowledge about the all-pole (...
Takuya Yoshioka, Tomohiro Nakatani, Hiroshi G. Oku...