Discovering an Optimal Set of Minimally Contrasting Acoustic Speech Units: A Point of Focus for Whole-Word Pattern Matching

Universal approach for sequential audio pattern search

Michal Kuba
Roman Jarina

November 2015

Abstract—This article deals with universal sequential audio pattern search and sound recognition met...

On the Utility of Syllable-Based Acoustic Models for Pronunciation Variation Modelling

Hämäläinen, K.A.
Boves, L.W.J.
Veth, J.M. de
Bosch, L.F.M. ten

January 2007

Contains fulltext : 44504.pdf (publisher's version ) (Open Access

Assessing acoustic reduction: Exploiting local structure in speech

Bosch, L.F.M. ten
Hämäläinen, K.A.
Ernestus, M.T.C.

January 2011

Contains fulltext : 94244.pdf (publisher's version ) (Open Access)Interspeech 201

Optimal selection of speech data for Automatic Speech Recognition systems

Nagórski, A.B.
Boves, L.W.J.
Steeneken, H.

January 2002

Contains fulltext : 75067.pdf (author's version ) (Open Access)ICSLP 2002, 16 sept...

Unsupervised Acoustic Sub-word Unit Detection for Query-by-example Spoken Term Detection

Huijbregts, M.A.H.
McLaren, M.L.
Leeuwen, D.A. van

January 2011

Contains fulltext : 94769.pdf (publisher's version ) (Open Access)IEEE Internation...

The Zero Resource Speech Challenge 2015

Maarten Versteegh
Thomas Schatz
Xuan Nga Cao
Xavier Anguera
Aren Jansen
Emmanuel Dupoux

January 2016

The Interspeech 2015 Zero Resource Speech Challenge aims at discovering subword and word units from ...

Acoustic Classification of Focus: On the Web and in the Lab

Howell, Jonathan
Rooth, Mats
Wagner, Michael

February 2016

We present a new methodological approach which combines both naturally-occurring speech “harvested” ...

Acoustic classification of focus: On the web and in the lab

Howell, Jonathan
Rooth, Mats
Wagner, Michael

January 2017

We present a new methodological approach which combines both naturally-occurring speech harvested on...

Selecting Optimal Non-uniform Units for Hierarchical Unit Selection

Jun Xu
Dezhi Huang
Yuan Dong
Lianhong Cai
Haila Wang

October 2015

For concatenative speech synthesis based on non-uniform unit selection, the key to improve the synth...

Exploring automatic similarity measures for unit selection tuning

Tihelka, Daniel
Romportl, Jan

January 2009

The present paper focuses on the current handling of target features in the unit selection approach ...

Exploring Automatic Similarity Measures for Unit Selection Tuning

Daniel Tihelka
Jan Romportl

January 2009

The present paper focuses on the current handling of target fea-tures in the unit selection approach...

How abstract phonemic categories are necessary for coping with speaker-related variation

Cutler, A.
Eisner, F.
McQueen, J.M.
Norris, D.

January 2010

Contains fulltext : 89953.pdf (publisher's version ) (Open Access

OPTIMAL FUSION OF DIVERSE FEATURE SETS FOR SPEAKER IDENTIFICATION: AN ALTERNATIVE METHOD

LanWANG
KeCHEN
HuishengCHI

January 2000

For speaker identification, a robust and effective feature extraction method is necessary. But in th...

Licensed Under Creative Commons Attribution CC BY A Review of Feature Extraction Technique for Automatic Speech Recognition

Sandeep Joshi
Parag Parandkar

November 2015

Abstract: Speech recognition is a multileveled pattern recognition task, in which acoustical signals...

A study on selecting and optimizing perceptually relevant features for automatic speech recognition

Koniaris, Christos

January 2009

The performance of an automatic speech recognition (ASR) system strongly depends on the representati...

Universal approach for sequential audio pattern search

Michal Kuba
Roman Jarina

November 2015

Abstract—This article deals with universal sequential audio pattern search and sound recognition met...

On the Utility of Syllable-Based Acoustic Models for Pronunciation Variation Modelling

Hämäläinen, K.A.
Boves, L.W.J.
Veth, J.M. de
Bosch, L.F.M. ten

January 2007

Contains fulltext : 44504.pdf (publisher's version ) (Open Access

Assessing acoustic reduction: Exploiting local structure in speech

Bosch, L.F.M. ten
Hämäläinen, K.A.
Ernestus, M.T.C.

January 2011

Contains fulltext : 94244.pdf (publisher's version ) (Open Access)Interspeech 201

Optimal selection of speech data for Automatic Speech Recognition systems

Nagórski, A.B.
Boves, L.W.J.
Steeneken, H.

January 2002

Contains fulltext : 75067.pdf (author's version ) (Open Access)ICSLP 2002, 16 sept...

Unsupervised Acoustic Sub-word Unit Detection for Query-by-example Spoken Term Detection

Huijbregts, M.A.H.
McLaren, M.L.
Leeuwen, D.A. van

January 2011

Contains fulltext : 94769.pdf (publisher's version ) (Open Access)IEEE Internation...

The Zero Resource Speech Challenge 2015

Maarten Versteegh
Thomas Schatz
Xuan Nga Cao
Xavier Anguera
Aren Jansen
Emmanuel Dupoux

January 2016

The Interspeech 2015 Zero Resource Speech Challenge aims at discovering subword and word units from ...

Acoustic Classification of Focus: On the Web and in the Lab

Howell, Jonathan
Rooth, Mats
Wagner, Michael

February 2016

We present a new methodological approach which combines both naturally-occurring speech “harvested” ...

Acoustic classification of focus: On the web and in the lab

Howell, Jonathan
Rooth, Mats
Wagner, Michael

January 2017

We present a new methodological approach which combines both naturally-occurring speech harvested on...

Selecting Optimal Non-uniform Units for Hierarchical Unit Selection

Jun Xu
Dezhi Huang
Yuan Dong
Lianhong Cai
Haila Wang

October 2015

For concatenative speech synthesis based on non-uniform unit selection, the key to improve the synth...

Exploring automatic similarity measures for unit selection tuning

Tihelka, Daniel
Romportl, Jan

January 2009

The present paper focuses on the current handling of target features in the unit selection approach ...

Exploring Automatic Similarity Measures for Unit Selection Tuning

Daniel Tihelka
Jan Romportl

January 2009

The present paper focuses on the current handling of target fea-tures in the unit selection approach...

How abstract phonemic categories are necessary for coping with speaker-related variation

Cutler, A.
Eisner, F.
McQueen, J.M.
Norris, D.

January 2010

Contains fulltext : 89953.pdf (publisher's version ) (Open Access

OPTIMAL FUSION OF DIVERSE FEATURE SETS FOR SPEAKER IDENTIFICATION: AN ALTERNATIVE METHOD

LanWANG
KeCHEN
HuishengCHI

January 2000

For speaker identification, a robust and effective feature extraction method is necessary. But in th...

Licensed Under Creative Commons Attribution CC BY A Review of Feature Extraction Technique for Automatic Speech Recognition

Sandeep Joshi
Parag Parandkar

November 2015

Abstract: Speech recognition is a multileveled pattern recognition task, in which acoustical signals...

A study on selecting and optimizing perceptually relevant features for automatic speech recognition

Koniaris, Christos

January 2009

The performance of an automatic speech recognition (ASR) system strongly depends on the representati...

Universal approach for sequential audio pattern search

Michal Kuba
Roman Jarina

November 2015

Abstract—This article deals with universal sequential audio pattern search and sound recognition met...

On the Utility of Syllable-Based Acoustic Models for Pronunciation Variation Modelling

Hämäläinen, K.A.
Boves, L.W.J.
Veth, J.M. de
Bosch, L.F.M. ten

January 2007

Contains fulltext : 44504.pdf (publisher's version ) (Open Access

Assessing acoustic reduction: Exploiting local structure in speech

Bosch, L.F.M. ten
Hämäläinen, K.A.
Ernestus, M.T.C.

January 2011

Contains fulltext : 94244.pdf (publisher's version ) (Open Access)Interspeech 201

Discovering an Optimal Set of Minimally Contrasting Acoustic Speech Units: A Point of Focus for Whole-Word Pattern Matching

Abstract

Extracted data

Discovering an Optimal Set of Minimally Contrasting Acoustic Speech Units: A Point of Focus for Whole-Word Pattern Matching

Abstract

Extracted data

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