'Pronunciation model' diaporamas de présentation

Mark Hasegawa-Johnson jhasegaw@uiuc Research performed in collaboration with

Landmark-Based Speech Recognition The Marriage of High-Dimensional Machine Learning Techniques with Modern Linguistic Representations. Mark Hasegawa-Johnson jhasegaw@uiuc.edu Research performed in collaboration with James Baker (Carnegie Mellon), Sarah Borys (Illinois),

416 views • 41 slides

Automatic Speech Recognition Introduction

Automatic Speech Recognition Introduction. Readings: Jurafsky & Martin 7.1-2 HLT Survey Chapter 1. The Human Dialogue System. The Human Dialogue System. Computer Dialogue Systems. Dialogue Management. Audition. Automatic Speech Recognition. Natural Language Understanding. Natural

538 views • 37 slides

Automatic Speech Recognition Introduction

Automatic Speech Recognition Introduction. Readings: Jurafsky & Martin 7.1-2 HLT Survey Chapter 1. The Human Dialogue System. The Human Dialogue System. Computer Dialogue Systems. Dialogue Management. Audition. Automatic Speech Recognition. Natural Language Understanding. Natural

501 views • 37 slides

Automatic Speech Recognition Introduction

Automatic Speech Recognition Introduction. Readings: Jurafsky & Martin 7.1-2 HLT Survey Chapter 1. The Human Dialogue System. The Human Dialogue System. Computer Dialogue Systems. Dialogue Management. Audition. Automatic Speech Recognition. Natural Language Understanding. Natural

383 views • 37 slides

Automatic Speech Recognition Introduction

Automatic Speech Recognition Introduction. Readings: Jurafsky & Martin 7.1-2 HLT Survey Chapter 1. The Human Dialogue System. The Human Dialogue System. Computer Dialogue Systems. Dialogue Management. Audition. Automatic Speech Recognition. Natural Language Understanding. Natural

372 views • 37 slides

Landmark-Based Speech Recognition: Status Report, 7/21/2004

Landmark-Based Speech Recognition: Status Report, 7/21/2004. Status Report: Outline. Review of the paradigm Experiments that have been used in rescoring SVM: training on Switchboard vs. NTIMIT Acoustic features: MFCCs vs. rate-scale Training the pronunciation model

468 views • 34 slides

Landmark-Based Speech Recognition: Status Report, 7/21/2004

Landmark-Based Speech Recognition: Status Report, 7/21/2004. Status Report: Outline. Review of the paradigm Experiments that have been used in rescoring SVM: training on Switchboard vs. NTIMIT Acoustic features: MFCCs vs. rate-scale Training the pronunciation model

345 views • 34 slides

Landmark-Based Speech Recognition: Status Report, 7/21/2004

Landmark-Based Speech Recognition: Status Report, 7/21/2004. Status Report: Outline. Review of the paradigm Experiments that have been used in rescoring SVM: training on Switchboard vs. NTIMIT Acoustic features: MFCCs vs. rate-scale Training the pronunciation model

326 views • 32 slides

Feature-based Pronunciation Modeling Using Dynamic Bayesian Networks

Feature-based Pronunciation Modeling Using Dynamic Bayesian Networks. Karen Livescu JHU Workshop Planning Meeting April 16, 2004 Joint work with Jim Glass. Preview. The problem of pronunciation variation for automatic speech recognition (ASR)

510 views • 31 slides

Feature-based Pronunciation Modeling Using Dynamic Bayesian Networks

Feature-based Pronunciation Modeling Using Dynamic Bayesian Networks. Karen Livescu JHU Workshop Planning Meeting April 16, 2004 Joint work with Jim Glass. Preview. The problem of pronunciation variation for automatic speech recognition (ASR)

323 views • 31 slides

Automatic Speech Recognition

459 views • 27 slides

Automatic Speech Recognition

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Modeling pronunciation variation using artificial neural networks for English spontaneous speech

Modeling pronunciation variation using artificial neural networks for English spontaneous speech. Ken Chen and Mark Hasegawa-Johnson. Pronunciation Variability. Manual phonetic transcriptions: TIMIT (14 hours, read speech), ICSI-Switchboard (3.5 hours, spontaneous speech).

135 views • 13 slides

Landmark-Based Speech Recognition Report of the Workshop Group, 8/16/2004

Landmark-Based Speech Recognition Report of the Workshop Group, 8/16/2004.

122 views • 12 slides