NIPS
2000
13 years 6 months ago
2000
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
NIPS
2003
13 years 6 months ago
2003
Speech dereverberation is desirable with a view to achieving, for example, robust speech recognition in the real world. However, it is still a challenging problem, especially when...
CIT
2006
Springer
13 years 8 months ago
2006
Springer
In this paper we proposed some flexible methods, which are useful in the process of voice conversion. The proposed methods modify the shape of the vocal tract system and the chara...
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
The speech signal is usually considered as stationary during short analysis time intervals. Though this assumption may be sufficient in some applications, it is not valid for high...
ICMCS
2000
IEEE
13 years 9 months ago
2000
IEEE
Recent work into the separation of mixtures of speech signals has shown some success. One particular method is based on the assumption that scalar mixtures of speech signals have ...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
In this paper a new geometrical approach for separating speech signals is presented. This approach can be directly applied to separate more than two speech signals. It is based on ...
ICMCS
2008
IEEE
13 years 11 months ago
2008
IEEE
Segmenting the speech signals on the basis of time-frequency analysis is the most natural approach. Boundaries are located in places where energy of some frequency subband rapidly...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents new filter bank design methods for subband adaptive beamforming. In this work, we design analysis and synthesis prototypes for modulated filter banks so as t...
ICIAR
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we propose a novel correlation based method for speech-video synchronization (synch) and relationship classification. The method uses the envelope of the speech sig...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In most approaches to speech recognition, the speech signals are segmented using constant-time segmentation, for example into 25 ms blocks. Constant segmentation risks losing info...