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» Subspace Gaussian Mixture Models for speech recognition
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ICPR
2008
IEEE
16 years 7 months ago
Kernel oriented discriminant analysis for speaker-independent phoneme spaces
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Ch...
SIGIR
2003
ACM
15 years 11 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
ICASSP
2007
IEEE
16 years 5 days ago
Unsupervised Audio Segmentation using Extended Baum-Welch Transformations
Audio segmentation has applications in a variety of contexts, such as audio information retrieval, automatic sound analysis, and as a pre-processing step in speech recognition. Ex...
Tara N. Sainath, Dimitri Kanevsky, Giridharan Iyen...
JMM2
2007
59views more  JMM2 2007»
15 years 5 months ago
Single-Ended Quality Measurement of Noise Suppressed Speech Based on Kullback-Leibler Distances
— In this paper, a single-ended quality measurement algorithm for noise suppressed speech is described. The proposed algorithm computes fast approximations of KullbackLeibler dis...
Tiago H. Falk, Hua Yuan, Wai-Yip Chan
ICASSP
2011
IEEE
14 years 9 months ago
Shout detection in noise
For the task of detecting shouted speech in a noisy environment, this paper introduces a system based on mel frequency cepstral coefficient (MFCC) feature extraction, unsupervise...
Jouni Pohjalainen, Paavo Alku, Tomi Kinnunen