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» Introduction to speech recognition using neural networks
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ICML
2006
IEEE
14 years 9 months ago
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
Alex Graves, Faustino J. Gomez, Jürgen Schmid...
IWANN
2001
Springer
14 years 1 months ago
Landmark Recognition for Autonomous Navigation Using Odometric Information and a Network of Perceptrons
In this paper two methods for the detection and recognition of landmarks to be used in topological modeling for autonomous mobile robots are presented. The first method is based o...
Javier de Lope Asiaín, Darío Maraval...
CVIU
2008
118views more  CVIU 2008»
13 years 9 months ago
Multimodal person authentication using speech, face and visual speech
This paper presents a method for automatic multimodal person authentication using speech, face and visual speech modalities. The proposed method uses the motion information to loc...
S. Palanivel, B. Yegnanarayana
ICASSP
2011
IEEE
13 years 18 days ago
Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura, ...
ICASSP
2011
IEEE
13 years 18 days ago
Gesture-based Dynamic Bayesian Network for noise robust speech recognition
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...