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ICASSP
2010
IEEE
15 years 4 months ago
Phone recognition using Restricted Boltzmann Machines
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...
Abdel-rahman Mohamed, Geoffrey E. Hinton
ICASSP
2010
IEEE
15 years 4 months ago
Tuning phone decoders for language identification
Phonotactic approach, phone recognition to be followed by language modeling, is one of the most popular approaches to language identification (LID). In this work, we explore how ...
C. P. Santhosh Kumar, Haizhou Li, Rong Tong, Pavel...
138
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A model-based auditory scene analysis approach and its application to speech source localization
Localization and classification of acoustic signals in a complex auditory scene is an every day task of the human auditory system. However, this problem presents a significant c...
Vaclav Bouse, Rainer Martin
101
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Speech synthesis using HMM based diphone inventory encoding for low-resource devices
In this paper we describe the compression of diphone inventories used by the acoustic synthesis of a concatenative synthesis system. The inventory compression is based on a codebo...
Guntram Strecha, Matthias Wolff
ICASSP
2011
IEEE
14 years 7 months ago
MLP based phoneme detectors for Automatic Speech Recognition
Phoneme posterior probabilities estimated using Multi-Layer Perceptrons (MLPs) are extensively used both as acoustic scores and features for speech recognition. In this paper we e...
Samuel Thomas, Patrick Nguyen, Geoffrey Zweig, Hyn...