Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
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...
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...
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...
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...