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» Signal Processing for Robust Speech Recognition
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ICASSP
2011
IEEE
14 years 9 months ago
Language dependent universal phoneme posterior estimation for mixed language speech recognition
This paper presents a new approach to estimate “universal” phoneme posterior probabilities for mixed language speech recognition. More specifically, we propose a new theoreti...
David Imseng, Hervé Bourlard, Mathew Magima...

Book
996views
17 years 3 months ago
The Scientist and Engineer's Guide to Digital Signal Processing
"The world of science and engineering is filled with signals: images from remote space probes, voltages generated by the heart and brain, radar and sonar echoes, seismic vibra...
Steve Smith
ICASSP
2011
IEEE
14 years 9 months ago
Automatic speech recognition using Hidden Conditional Neural Fields
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Yasuhisa Fujii, Kazumasa Yamamoto, Seiichi Nakagaw...
ICASSP
2009
IEEE
16 years 21 days ago
Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks
In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...
Martin Wöllmer, Florian Eyben, Joseph Keshet,...
ICASSP
2010
IEEE
15 years 6 months ago
Robust speaker identification using an auditory-based feature
An auditory-based feature extraction algorithm is presented. The feature is based on a recently published time-frequency transform plus a set of modules to simulate the signal pro...
Qi Li, Yan Huang