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ICA
2012
Springer
12 years 3 months ago
A Non-negative Approach to Language Informed Speech Separation
Abstract. The use of high level information in source separation algorithms can greatly constrain the problem and lead to improved results by limiting the solution space to semanti...
Gautham J. Mysore, Paris Smaragdis
ICASSP
2010
IEEE
13 years 8 months ago
Automatic state discovery for unstructured audio scene classification
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, G...
ICASSP
2011
IEEE
12 years 11 months ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo
LREC
2008
174views Education» more  LREC 2008»
13 years 9 months ago
Automatic Phoneme Segmentation with Relaxed Textual Constraints
Speech synthesis by unit selection requires the segmentation of a large single speaker high quality recording. Automatic speech recognition techniques, e.g. Hidden Markov Models (...
Pierre Lanchantin, Andrew C. Morris, Xavier Rodet,...
ACL
2008
13 years 9 months ago
Unsupervised Learning of Acoustic Sub-word Units
Accurate unsupervised learning of phonemes of a language directly from speech is demonstrated via an algorithm for joint unsupervised learning of the topology and parameters of a ...
Balakrishnan Varadarajan, Sanjeev Khudanpur, Emman...