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» Introduction to speech recognition using neural networks
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ACL
1998
13 years 10 months ago
Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recogniti
In this paper, we present a chunk based partial parsing system for spontaneous, conversational speech in unrestricted domains. We show that the chunk parses produced by this parsi...
Klaus Zechner, Alex Waibel
ICONIP
2004
13 years 10 months ago
In-vehicle Noise and Enhanced Speech Intelligibility
In-Car speech recognition will be pervasive over the coming years. The goal of speech enhancement is to increase the quality and intelligibility of speech in a noisy environment. T...
Akbar Ghobakhlou, Richard Kilgour
IJCNN
2000
IEEE
14 years 14 days ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
IEICET
2007
83views more  IEICET 2007»
13 years 8 months ago
A MFCC-Based CELP Speech Coder for Server-Based Speech Recognition in Network Environments
Existing standard speech coders can provide speech communication of high quality while they degrade the performance of speech recognition systems that use the reconstructed speech...
Jae Sam Yoon, Gil Ho Lee, Hong Kook Kim
IJCNN
2007
IEEE
14 years 3 months ago
Character Recognition using Spiking Neural Networks
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...
Ankur Gupta, Lyle N. Long