doi:10.1155/2007/46460 Research Article On the Utility of Syllable-Based Acoustic Models for Pronunciation Variation Modelling

Learning pronunciation variation: A data-driven approach to rule-based lecxicon adaptation for automatic speech recognition

Amdal, Ingunn

January 2002

To achieve a robust system the variation seen for different speaking styles must be handled. An inve...

Modeling pronunciation variation for ASR: overview and comparison of methods

Strik, H.
Cucchiarini, C.

January 1998

Contains fulltext : 76241.pdf (author's version ) (Open Access

On the Sufficiency of Automatic Phonetic Transcriptions for Pronunciation Variation Research

Bael, C.P.J. Van

January 2006

Contains fulltext : 41723.pdf (publisher's version ) (Closed access)Pittsburgh PA,...

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

Modelling pronunciation variation: some preliminary results

Wester, M.
Kessens, J.M.
Cucchiarini, C.
Strik, H.

January 1997

Contains fulltext : 76251.pdf (publisher's version ) (Open Access

Modelling Pronunciation Variation with Single-Path and Multi-Path Syllable Models: Issues to Consider

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

January 2009

Contains fulltext : 76394.pdf (publisher's version ) (Closed access)21 p

Pronunciation Variation Modelling in a Model of Human Word Recognition

Scharenborg, O.E.
Boves, L.W.J.

January 2002

Contains fulltext : 75065.pdf (author's version ) (Open Access)14 september 200

RESEARCH ARTICLE Stochastic Time Models of Syllable Structure

Jason A. Shaw
Adamantios I. Gafos

August 2016

Drawing on phonology research within the generative linguistics tradition, stochastic meth-ods, and ...

On the Sufficiency of Automatic Phonetic Transcriptions for Pronunciation Variation Research

Bael, C.P.J. van
Halteren, H. van

January 2006

Contains fulltext : 41722.pdf (author's version ) (Open Access)4 p

Improving automatic phonetic transcription of spontaneous speech through Variant-Bases pronunciation variation modelling

Binnenpoorte, D.M.
Cucchiarini, C.
Strik, H.
Boves, L.W.J.

January 2004

Contains fulltext : 62009.pdf (author's version ) (Open Access)4 p

SYLLABLES IN SPEECH PRODUCTION: EFFECTS OF SYLLABLE PREPARATION AND SYLLABLE FREQUENCY

October 2015

The following full text is a publisher's version. For additional information about this publica...

Modelling Pronunciation Variation Using Multi-Path HMMs for Syllables

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

January 2007

Contains fulltext : 44459.pdf (publisher's version ) (Closed access

Whither Linguistic Interpretation of Acoustic Pronunciation Variation

Hämäläinen, K.A.
Han, Y.
Boves, L.W.J.
Bosch, L.F.M. ten

January 2006

Contains fulltext : 43506.pdf (author's version ) (Open Access

MULTI-PATH SYLLABLE MODELS BASED ON PHONETIC KNOWLEDGE

Annika Hämäläinen
Louis Ten Bosch
Lou Boves

September 2016

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

Modeling pronunciation variation for ASR: a survey of the literature

Strik, H.
Cucchiarini, C.

January 1999

Contains fulltext : 76182.pdf (publisher's version ) (Closed access)22 p

Learning pronunciation variation: A data-driven approach to rule-based lecxicon adaptation for automatic speech recognition

Amdal, Ingunn

January 2002

To achieve a robust system the variation seen for different speaking styles must be handled. An inve...

Modeling pronunciation variation for ASR: overview and comparison of methods

Strik, H.
Cucchiarini, C.

January 1998

Contains fulltext : 76241.pdf (author's version ) (Open Access

On the Sufficiency of Automatic Phonetic Transcriptions for Pronunciation Variation Research

Bael, C.P.J. Van

January 2006

Contains fulltext : 41723.pdf (publisher's version ) (Closed access)Pittsburgh PA,...

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

Modelling pronunciation variation: some preliminary results

Wester, M.
Kessens, J.M.
Cucchiarini, C.
Strik, H.

January 1997

Contains fulltext : 76251.pdf (publisher's version ) (Open Access

Modelling Pronunciation Variation with Single-Path and Multi-Path Syllable Models: Issues to Consider

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

January 2009

Contains fulltext : 76394.pdf (publisher's version ) (Closed access)21 p

Pronunciation Variation Modelling in a Model of Human Word Recognition

Scharenborg, O.E.
Boves, L.W.J.

January 2002

Contains fulltext : 75065.pdf (author's version ) (Open Access)14 september 200

RESEARCH ARTICLE Stochastic Time Models of Syllable Structure

Jason A. Shaw
Adamantios I. Gafos

August 2016

Drawing on phonology research within the generative linguistics tradition, stochastic meth-ods, and ...

On the Sufficiency of Automatic Phonetic Transcriptions for Pronunciation Variation Research

Bael, C.P.J. van
Halteren, H. van

January 2006

Contains fulltext : 41722.pdf (author's version ) (Open Access)4 p

Improving automatic phonetic transcription of spontaneous speech through Variant-Bases pronunciation variation modelling

Binnenpoorte, D.M.
Cucchiarini, C.
Strik, H.
Boves, L.W.J.

January 2004

Contains fulltext : 62009.pdf (author's version ) (Open Access)4 p

SYLLABLES IN SPEECH PRODUCTION: EFFECTS OF SYLLABLE PREPARATION AND SYLLABLE FREQUENCY

October 2015

The following full text is a publisher's version. For additional information about this publica...

Modelling Pronunciation Variation Using Multi-Path HMMs for Syllables

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

January 2007

Contains fulltext : 44459.pdf (publisher's version ) (Closed access

Whither Linguistic Interpretation of Acoustic Pronunciation Variation

Hämäläinen, K.A.
Han, Y.
Boves, L.W.J.
Bosch, L.F.M. ten

January 2006

Contains fulltext : 43506.pdf (author's version ) (Open Access

MULTI-PATH SYLLABLE MODELS BASED ON PHONETIC KNOWLEDGE

Annika Hämäläinen
Louis Ten Bosch
Lou Boves

September 2016

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

Modeling pronunciation variation for ASR: a survey of the literature

Strik, H.
Cucchiarini, C.

January 1999

Contains fulltext : 76182.pdf (publisher's version ) (Closed access)22 p

Learning pronunciation variation: A data-driven approach to rule-based lecxicon adaptation for automatic speech recognition

Amdal, Ingunn

January 2002

To achieve a robust system the variation seen for different speaking styles must be handled. An inve...

Modeling pronunciation variation for ASR: overview and comparison of methods

Strik, H.
Cucchiarini, C.

January 1998

Contains fulltext : 76241.pdf (author's version ) (Open Access

On the Sufficiency of Automatic Phonetic Transcriptions for Pronunciation Variation Research

Bael, C.P.J. Van

January 2006

Contains fulltext : 41723.pdf (publisher's version ) (Closed access)Pittsburgh PA,...

doi:10.1155/2007/46460 Research Article On the Utility of Syllable-Based Acoustic Models for Pronunciation Variation Modelling

Abstract

Extracted data

doi:10.1155/2007/46460 Research Article On the Utility of Syllable-Based Acoustic Models for Pronunciation Variation Modelling

Abstract

Extracted data

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