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» Introduction to speech recognition using neural networks
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ICIP
2002
IEEE
14 years 10 months ago
Application of support vector machines classifiers to visual speech recognition
In this paper we proposed a visual speech recognition network based on Support Vector Machines. Each word of the dictionary is modeled by a set of temporal sequences of visemes. E...
Mihaela Gordan, Constantine Kotropoulos, Apostolos...
ICASSP
2011
IEEE
13 years 18 days ago
Syllabification of conversational speech using Bidirectional Long-Short-Term Memory Neural Networks
Segmentation of speech signals is a crucial task in many types of speech analysis. We present a novel approach at segmentation on a syllable level, using a Bidirectional Long-Shor...
Christian Landsiedel, Jens Edlund, Florian Eyben, ...
NAACL
2010
13 years 6 months ago
Using Confusion Networks for Speech Summarization
For extractive meeting summarization, previous studies have shown performance degradation when using speech recognition transcripts because of the relatively high speech recogniti...
Shasha Xie, Yang Liu
IJCNN
2006
IEEE
14 years 2 months ago
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement
— In this paper we present a method of sequential speech enhancement, where we infer clean speech signal using a Rao-Blackwellized particle filter (RBPF), given a noisecontamina...
Sunho Park, Seungjin Choi
IJCNN
2000
IEEE
14 years 1 months ago
The Inefficiency of Batch Training for Large Training Sets
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
D. Randall Wilson, Tony R. Martinez