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» Data pruning for template-based automatic speech recognition
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134
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NCI
2004
132views Neural Networks» more  NCI 2004»
15 years 4 months ago
A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
Alex Graves, Nicole Beringer, Jürgen Schmidhu...
122
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Robust speech recognition using multiple prior models for speech reconstruction
Prior models of speech have been used in robust automatic speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling the entire training dat...
Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric F...
133
Voted
INTERSPEECH
2010
14 years 10 months ago
Artificial and online acquired noise dictionaries for noise robust ASR
Recent research has shown that speech can be sparsely represented using a dictionary of speech segments spanning multiple frames, exemplars, and that such a sparse representation ...
Jort F. Gemmeke, Tuomas Virtanen
SPEECH
2010
225views more  SPEECH 2010»
15 years 1 months ago
Automatic recognition of regional phonological variation in conversational interaction
One key aspect of face-to-face communication concerns the differences that may exist between speakers’ native regional accents. This paper focuses on the characterization of re...
Vincent Aubanel, Noël Nguyen
ICASSP
2008
IEEE
15 years 10 months ago
Investigating automatic assessment of reading comprehension in young children
This paper describes a preliminary investigation into automatic assessment of reading comprehension in young children. In particular we studied the feasibility of automatic scorin...
Matteo Gerosa, Shrikanth Narayanan