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» Introduction to Statistical Signal Processing
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ICASSP
2009
IEEE
14 years 5 months ago
A Bayesian approach to HMM-based speech synthesis
This paper proposes a new framework of speech synthesis based on the Bayesian approach. The Bayesian method is a statistical technique for estimating reliable predictive distribut...
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Takas...
ICASSP
2008
IEEE
14 years 4 months ago
Bootstrap tests for the time constancy of multifractal attributes
On open and controversial issue in empirical data analysis is to decide whether scaling and multifractal properties observed in empirical data actually exist, or whether they are ...
Herwig Wendt, Patrice Abry
ICASSP
2008
IEEE
14 years 4 months ago
Improving Spoken Language Understanding with information retrieval and active learning methods
In the context of deployed spoken dialogue telecom services, we introduce a preprocessor called Fiction into the Spoken Language Understanding (SLU) component. It acts as an inter...
Isabelle Jars, Franck Panaget
ICASSP
2009
IEEE
14 years 2 months ago
Acoustic compensation methods for body transmitted speech conversion
Statistical voice conversion is very effective for enhancing body transmitted speech recorded with Non-Audible Murmur (NAM) microphone. In this method, a probabilistic model to co...
Daisuke Miyamoto, Keigo Nakamura, Tomoki Toda, Hir...
ICASSP
2010
IEEE
13 years 10 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock