276 search results - page 38 / 56 » PAC-Learning of Markov Models with Hidden State |
ISMIR
2003
Springer
13 years 12 months ago
2003
Springer
A technique for harmonic analysis is presented that partitions a piece of music into contiguous regions and labels each with the key, mode, and functional chord, e.g. tonic, domin...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
For decades, Hidden Markov Models (HMMs) have been the state-of-the-art technique for acoustic modeling despite their unrealistic independence assumptions and the very limited rep...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Voice conversion has become more and more important in speech technology, but most of current works have to use parallel utterances of both source and target speaker as the traini...
IJCNN
2006
IEEE
14 years 23 days ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...