A comparison of LPC and FFT-based acoustic features for noise robust ASR

Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR

Sun, Y.
Cranen, B.
Gemmeke, J.F.
Bosch, L.F.M. ten
Boves, L.W.J.
Doss, M.M.

January 2012

Contains fulltext : 102118.pdf (author's version ) (Open Access)Interspeech 201

Noise robust ASR : missing data techniques and beyond

Gemmeke, J.F.

January 2011

Contains fulltext : 85821.pdf (publisher's version ) (Open Access)Radboud Universi...

Fusion of parametric and non-parametric approaches to noise-robust ASR

Sun, Yang
Gemmeke, Jort
Cranen, Bert
ten Bosch, Louis
Boves, Lou

January 2014

Sun Y., Gemmeke J.F., Cranen B., ten Bosch L., Boves L., ''Fusion of parametric and non-parametric a...

Comparing acoustic features for robust ASR in fixed and cellular network applications

Wet, F. de
Cranen, B.
Veth, J.M. de
Boves, L.W.J.

January 2000

Contains fulltext : 75045.pdf (author's version ) (Open Access)4 p

Acoustic parameters versus phonetic features in ASR

Koreman, J.J.M.
Andreeva, B.
Strik, H.

January 1999

Contains fulltext : 76191.pdf (author's version ) (Open Access)4 p

Combination of Sparse Classification and Multilayer Perceptron for Noise-robust ASR

Sun, Y.
Doss, M.M.
Gemmeke, J.F.
Cranen, B.
Bosch, L.F.M. ten
Boves, L.W.J.

January 2012

Contains fulltext : 101559.pdf (author's version ) (Open Access)Interspeech 201

Exploiting properties of the human auditory system and compressive sensing methods to increase noise robustness in ASR

Ahmadi, S.

January 2017

Contains fulltext : 178421.pdf (publisher's version ) (Open Access)Human speech co...

Artificial and online acquired noise dictionaries for noise robust {ASR}

Gemmeke, J.F.
Virtanen, T.

January 2010

Contains fulltext : 86540.pdf (publisher's version ) (Open Access)Interspeech 2010...

Toward a practical implementation of exemplar-based noise robust ASR

Gemmeke, J.F.
Hurmalainen, A.
Virtanen, T.
Sun, Y.

January 2011

Contains fulltext : 94753.pdf (publisher's version ) (Open Access)The 2011 Europea...

State dependent feature component selection for noise robust ASR

Cranen, B.
Veth, J.M. de

January 2004

Contains fulltext : 61631.pdf (author's version ) (Open Access)8 p

Improvements of a dual-input DBN for noise robust ASR

Sun, Y.
Gemmeke, J.F.
Cranen, B.
Bosch, L.F.M. ten
Boves, L.W.J.

January 2011

Contains fulltext : 94477.pdf (publisher's version ) (Open Access)Interspeech 201

Review of noise robust automatic speech recognition

Hermus, Kris
Wambacq, Patrick

January 2005

This report presents a review of the main research directions in noise robust automatic speech recog...

Enhanced Automatic Speech Recognition System Based on Enhancing Power-Normalized Cepstral Coefficients

Mohamed Tamazin
Ahmed Gouda
Mohamed Khedr

May 2019

Many new consumer applications are based on the use of automatic speech recognition (ASR) systems, s...

Auditory spectrum based features (ASBF) for robust speech recognition

Yim, Chi Ho

January 2001

Speech recognition is the enabling technology allowing humans to communicate with computers using th...

Early fusion of sparse classification and GMM for noise robust ASR

Sun, Y.
Gemmeke, J.F.
Cranen, B.
Bosch, L.F.M. ten
Boves, L.W.J.

January 2011

Contains fulltext : 94384.pdf (publisher's version ) (Open Access

Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR

Sun, Y.
Cranen, B.
Gemmeke, J.F.
Bosch, L.F.M. ten
Boves, L.W.J.
Doss, M.M.

January 2012

Contains fulltext : 102118.pdf (author's version ) (Open Access)Interspeech 201

Noise robust ASR : missing data techniques and beyond

Gemmeke, J.F.

January 2011

Contains fulltext : 85821.pdf (publisher's version ) (Open Access)Radboud Universi...

Fusion of parametric and non-parametric approaches to noise-robust ASR

Sun, Yang
Gemmeke, Jort
Cranen, Bert
ten Bosch, Louis
Boves, Lou

January 2014

Sun Y., Gemmeke J.F., Cranen B., ten Bosch L., Boves L., ''Fusion of parametric and non-parametric a...

Comparing acoustic features for robust ASR in fixed and cellular network applications

Wet, F. de
Cranen, B.
Veth, J.M. de
Boves, L.W.J.

January 2000

Contains fulltext : 75045.pdf (author's version ) (Open Access)4 p

Acoustic parameters versus phonetic features in ASR

Koreman, J.J.M.
Andreeva, B.
Strik, H.

January 1999

Contains fulltext : 76191.pdf (author's version ) (Open Access)4 p

Combination of Sparse Classification and Multilayer Perceptron for Noise-robust ASR

Sun, Y.
Doss, M.M.
Gemmeke, J.F.
Cranen, B.
Bosch, L.F.M. ten
Boves, L.W.J.

January 2012

Contains fulltext : 101559.pdf (author's version ) (Open Access)Interspeech 201

Exploiting properties of the human auditory system and compressive sensing methods to increase noise robustness in ASR

Ahmadi, S.

January 2017

Contains fulltext : 178421.pdf (publisher's version ) (Open Access)Human speech co...

Artificial and online acquired noise dictionaries for noise robust {ASR}

Gemmeke, J.F.
Virtanen, T.

January 2010

Contains fulltext : 86540.pdf (publisher's version ) (Open Access)Interspeech 2010...

Toward a practical implementation of exemplar-based noise robust ASR

Gemmeke, J.F.
Hurmalainen, A.
Virtanen, T.
Sun, Y.

January 2011

Contains fulltext : 94753.pdf (publisher's version ) (Open Access)The 2011 Europea...

State dependent feature component selection for noise robust ASR

Cranen, B.
Veth, J.M. de

January 2004

Contains fulltext : 61631.pdf (author's version ) (Open Access)8 p

Improvements of a dual-input DBN for noise robust ASR

Sun, Y.
Gemmeke, J.F.
Cranen, B.
Bosch, L.F.M. ten
Boves, L.W.J.

January 2011

Contains fulltext : 94477.pdf (publisher's version ) (Open Access)Interspeech 201

Review of noise robust automatic speech recognition

Hermus, Kris
Wambacq, Patrick

January 2005

This report presents a review of the main research directions in noise robust automatic speech recog...

Enhanced Automatic Speech Recognition System Based on Enhancing Power-Normalized Cepstral Coefficients

Mohamed Tamazin
Ahmed Gouda
Mohamed Khedr

May 2019

Many new consumer applications are based on the use of automatic speech recognition (ASR) systems, s...

Auditory spectrum based features (ASBF) for robust speech recognition

Yim, Chi Ho

January 2001

Speech recognition is the enabling technology allowing humans to communicate with computers using th...

Early fusion of sparse classification and GMM for noise robust ASR

Sun, Y.
Gemmeke, J.F.
Cranen, B.
Bosch, L.F.M. ten
Boves, L.W.J.

January 2011

Contains fulltext : 94384.pdf (publisher's version ) (Open Access

Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR

Sun, Y.
Cranen, B.
Gemmeke, J.F.
Bosch, L.F.M. ten
Boves, L.W.J.
Doss, M.M.

January 2012

Contains fulltext : 102118.pdf (author's version ) (Open Access)Interspeech 201

Noise robust ASR : missing data techniques and beyond

Gemmeke, J.F.

January 2011

Contains fulltext : 85821.pdf (publisher's version ) (Open Access)Radboud Universi...

Fusion of parametric and non-parametric approaches to noise-robust ASR

Sun, Yang
Gemmeke, Jort
Cranen, Bert
ten Bosch, Louis
Boves, Lou

January 2014

Sun Y., Gemmeke J.F., Cranen B., ten Bosch L., Boves L., ''Fusion of parametric and non-parametric a...

A comparison of LPC and FFT-based acoustic features for noise robust ASR

Abstract

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A comparison of LPC and FFT-based acoustic features for noise robust ASR

Abstract

Extracted data

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