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SEMCO
2007
IEEE
14 years 1 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
CSL
1999
Springer
13 years 7 months ago
A hidden Markov-model-based trainable speech synthesizer
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...
R. E. Donovan, Philip C. Woodland
ISMIR
2005
Springer
160views Music» more  ISMIR 2005»
14 years 26 days ago
Finding An Optimal Segmentation for Audio Genre Classification
In the automatic classification of music many different segmentations of the audio signal have been used to calculate features. These include individual short frames (23 ms), lon...
Kris West, Stephen Cox
MM
2006
ACM
157views Multimedia» more  MM 2006»
14 years 1 months ago
Syllabic level automatic synchronization of music signals and text lyrics
We present a framework to synchronize pop music to corresponding text lyric. We refine line level alignment achievable by existing work to syllabic level by using a dynamic progra...
Denny Iskandar, Ye Wang, Min-Yen Kan, Haizhou Li
ESANN
2006
13 years 8 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...