State-based labelling for a sparse representation of speech and its application to robust speech recognition

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

Advances in noise robust digit recognition using hybrid exemplar-based techniques

Gemmeke, Jort
Van hamme, Hugo

January 2012

Expressing noisy speech spectra as a linear combination of speech and noise exemplars has been shown...

Advances in Sparse Classification

Bharadwaj, Sujeeth

January 10000

A recent result in compressed sensing (CS) allows us to perform non-parametric speech recognition t...

Mapping Sparse Representation to State Likelihoods in Noise-Robust Automatic Speech Recognition

January 2016

This paper proposes learning-based methods for mapping a sparse representation of noisy speech to st...

Exemplar-based sparse representations for noise robust automatic speech recognition

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

January 2011

Contains fulltext : 94410.pdf (publisher's version ) (Closed access

Learning State Labels for Sparse Classification of Speech with Matrix Deconvolution

Antti Hurmalainen
Tuomas Virtanen

January 2013

Non-negative spectral factorisation with long temporal context has been successfully used for noise ...

Exemplar- based Sparse Representation and Sparse Discrimination for Noise Robust Speaker Identification

Saeidi, R.
Hurmalainen, A.
Virtanen, T.
Leeuwen, D.A. van

January 2012

Contains fulltext : 101693.pdf (author's version ) (Open Access)The Speaker and La...

Using sparse representations for missing data imputation in noise robust speech recognition

Gemmeke, J.F.
Cranen, B.

January 2008

Contains fulltext : 68292.pdf (author's version ) (Open Access

Sparse representation features for speech recognition

Tara N. Sainath
Bhuvana Ramabhadran
David Nahamoo
Dimitri Kanevsky
Abhinav Sethy

December 2014

In this paper, we explore the use of exemplar-based sparse representations (SRs) to map test feature...

Sparse imputation for noise robust speech recognition using soft masks, in

J. F. Gemmeke
B. Cranen

January 2009

The following full text is an author's version which may differ from the publisher's versi...

Sparse coding of the modulation spectrum for noise-robust automatic speech recognition

Ahmadi, S.
Ahadi, S.M.
Cranen, B.
Boves, L.W.J.

January 2014

Contains fulltext : 132233.pdf (publisher's version ) (Open Access)The full modula...

Sparse coding of the modulation spectrum for noise-robust automatic speech recognition

Ahmadi, S.
Ahadi, S.M.
Cranen, B.
Boves, L.W.J.

January 2014

The full modulation spectrum is a high-dimensional representation of one-dimensional audio signals. ...

Noise Robust Speaker Recognition with Convolutive Sparse Coding

Antti Hurmalainen
Rahim Saeidi
Tuomas Virtanen

January 2016

Recognition and classification of speech content in everyday environments is challenging due to the ...

Noise Robust Speaker Recognition with Convolutive Sparse Coding

Antti Hurmalainen
Rahim Saeidi
Tuomas Virtanen

January 2016

Recognition and classification of speech content in everyday environments is challenging due to the ...

Noise-robust automatic speech recognition with exemplar-based sparse representations using multiple length adaptive dictionaries

Yilmaz, Emre
Gemmeke, Jort
Van hamme, Hugo

January 2013

Yilmaz E., Gemmeke J.F., Van hamme H., ''Noise-robust automatic speech recognition with exemplar-bas...

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

Advances in noise robust digit recognition using hybrid exemplar-based techniques

Gemmeke, Jort
Van hamme, Hugo

January 2012

Expressing noisy speech spectra as a linear combination of speech and noise exemplars has been shown...

Advances in Sparse Classification

Bharadwaj, Sujeeth

January 10000

A recent result in compressed sensing (CS) allows us to perform non-parametric speech recognition t...

Mapping Sparse Representation to State Likelihoods in Noise-Robust Automatic Speech Recognition

January 2016

This paper proposes learning-based methods for mapping a sparse representation of noisy speech to st...

Exemplar-based sparse representations for noise robust automatic speech recognition

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

January 2011

Contains fulltext : 94410.pdf (publisher's version ) (Closed access

Learning State Labels for Sparse Classification of Speech with Matrix Deconvolution

Antti Hurmalainen
Tuomas Virtanen

January 2013

Non-negative spectral factorisation with long temporal context has been successfully used for noise ...

Exemplar- based Sparse Representation and Sparse Discrimination for Noise Robust Speaker Identification

Saeidi, R.
Hurmalainen, A.
Virtanen, T.
Leeuwen, D.A. van

January 2012

Contains fulltext : 101693.pdf (author's version ) (Open Access)The Speaker and La...

Using sparse representations for missing data imputation in noise robust speech recognition

Gemmeke, J.F.
Cranen, B.

January 2008

Contains fulltext : 68292.pdf (author's version ) (Open Access

Sparse representation features for speech recognition

Tara N. Sainath
Bhuvana Ramabhadran
David Nahamoo
Dimitri Kanevsky
Abhinav Sethy

December 2014

In this paper, we explore the use of exemplar-based sparse representations (SRs) to map test feature...

Sparse imputation for noise robust speech recognition using soft masks, in

J. F. Gemmeke
B. Cranen

January 2009

The following full text is an author's version which may differ from the publisher's versi...

Sparse coding of the modulation spectrum for noise-robust automatic speech recognition

Ahmadi, S.
Ahadi, S.M.
Cranen, B.
Boves, L.W.J.

January 2014

Contains fulltext : 132233.pdf (publisher's version ) (Open Access)The full modula...

Sparse coding of the modulation spectrum for noise-robust automatic speech recognition

Ahmadi, S.
Ahadi, S.M.
Cranen, B.
Boves, L.W.J.

January 2014

The full modulation spectrum is a high-dimensional representation of one-dimensional audio signals. ...

Noise Robust Speaker Recognition with Convolutive Sparse Coding

Antti Hurmalainen
Rahim Saeidi
Tuomas Virtanen

January 2016

Recognition and classification of speech content in everyday environments is challenging due to the ...

Noise Robust Speaker Recognition with Convolutive Sparse Coding

Antti Hurmalainen
Rahim Saeidi
Tuomas Virtanen

January 2016

Recognition and classification of speech content in everyday environments is challenging due to the ...

Noise-robust automatic speech recognition with exemplar-based sparse representations using multiple length adaptive dictionaries

Yilmaz, Emre
Gemmeke, Jort
Van hamme, Hugo

January 2013

Yilmaz E., Gemmeke J.F., Van hamme H., ''Noise-robust automatic speech recognition with exemplar-bas...

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

Advances in noise robust digit recognition using hybrid exemplar-based techniques

Gemmeke, Jort
Van hamme, Hugo

January 2012

Expressing noisy speech spectra as a linear combination of speech and noise exemplars has been shown...

Advances in Sparse Classification

Bharadwaj, Sujeeth

January 10000

A recent result in compressed sensing (CS) allows us to perform non-parametric speech recognition t...

State-based labelling for a sparse representation of speech and its application to robust speech recognition

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State-based labelling for a sparse representation of speech and its application to robust speech recognition

Abstract

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