D. Vergyri

发表

Development of the SRI/nightingale Arabic ASR system

Andreas Stolcke, Wen Wang, Arindam Mandal, 2008, INTERSPEECH.

Recent innovations in speech-to-text transcription at SRI-ICSI-UW

Andreas Stolcke, Wen Wang, Mei-Yuh Hwang, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Morphology-based language modeling for conversational Arabic speech recognition

Andreas Stolcke, Kevin Duh, Jeff A. Bilmes, 2006, Comput. Speech Lang..

Novel approaches to Arabic speech recognition: report from the 2002 Johns-Hopkins Summer Workshop

Jeff A. Bilmes, Dimitra Vergyri, Richard M. Schwartz, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Zero-shot Multi-Domain Dialog State Tracking Using Prescriptive Rules pdf

Dimitra Vergyri, Edgar Altszyler, John Byrnes, 2020, NeSy.

Towards language independent acoustic modeling

William J. Byrne, John Morgan, Dimitra Vergyri, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Speech‐based markers for posttraumatic stress disorder in US veterans

C. Marmar, D. Vergyri, E. Laska, 2019, Depression and anxiety.

Chapter 8 Robust Features in Deep Learning-Based Speech Recognition

Julien van Hout, H. Franco, M. Graciarena, 2016 .

Towards Conversationally Intelligent Dialog Systems

H. Bratt, D. Vergyri, K. Precoda, 2022, CHI Extended Abstracts.

Cross-corpus depression prediction from speech

Ronald M. Salomon, Dimitra Vergyri, Elizabeth Shriberg, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speech-based assessment of PTSD in a military population using diverse feature classes

Dimitra Vergyri, Elizabeth Shriberg, Mitchell McLaren, 2015, INTERSPEECH.

The SRI AVEC-2014 Evaluation System

Dimitra Vergyri, Colleen Richey, Andreas Kathol, 2014, AVEC '14.

Using Prosodic and Spectral Features in Detecting Depression in Elderly Males

Dimitra Vergyri, Colleen Richey, Luciana Ferrer, 2011, INTERSPEECH.

Robust Features in Deep-Learning-Based Speech Recognition

John H. L. Hansen, Abeer Alwan, Wen Wang, 2017, New Era for Robust Speech Recognition, Exploiting Deep Learning.

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. 1 The CALO Meeting Assistant System

Gökhan Tür, Dilek Z. Hakkani-Tür, Andreas Stolcke, 2022 .

Aided diagnosis of dementia type through computer-based analysis of spontaneous speech

Colleen Richey, Maria Luisa Gorno-Tempini, David P. Wilkins, 2014, CLPsych@ACL.

Cross-Domain and Cross-Language Portability of Acoustic Features Estimated by Multilayer Perceptrons

Andreas Stolcke, Mei-Yuh Hwang, Dimitra Vergyri, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Speech-based automated cognitive status assessment

Gökhan Tür, Dilek Z. Hakkani-Tür, Dimitra Vergyri, 2010, INTERSPEECH.

Joint modeling of articulatory and acoustic spaces for continuous speech recognition tasks

Dimitra Vergyri, Wen Wang, Horacio Franco, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cross-dialectal data sharing for acoustic modeling in Arabic speech recognition

Dimitra Vergyri, Katrin Kirchhoff, D. Vergyri, 2005, Speech Commun..

Calibration and multiple system fusion for spoken term detection using linear logistic regression

Yun Lei, Dimitra Vergyri, Julien van Hout, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Use of word level side information to improve speech recognition

Dimitra Vergyri, D. Vergyri, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Efficient data selection for machine translation

Gökhan Tür, Dilek Z. Hakkani-Tür, Andreas Stolcke, 2008, 2008 IEEE Spoken Language Technology Workshop.

Automatic Diacritization of Arabic for Acoustic Modeling in Speech Recognition

Dimitra Vergyri, Katrin Kirchhoff, D. Vergyri, 2004 .

Learning diagnostic models using speech and language measures

Dimitra Vergyri, Colleen Richey, Bart Peintner, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning

D. Vergyri, Karan Sikka, A. Kathol, 2023, ArXiv.

Open-vocabulary spoken term detection using graphone-based hybrid recognition systems

Andreas Stolcke, Dimitra Vergyri, Murat Akbacak, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

The SRI/OGI 2006 spoken term detection system

Andreas Stolcke, Wen Wang, Dimitra Vergyri, 2007, INTERSPEECH.

Automatic speech recognition of multiple accented English data

Dimitra Vergyri, Jean-Luc Gauvain, Lori Lamel, 2010, INTERSPEECH.

The CALO Meeting Assistant System

A. Stolcke, M. Graciarena, Elizabeth Shriberg, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Exploiting user feedback for language model adaptation in meeting recognition

Gökhan Tür, Andreas Stolcke, Dimitra Vergyri, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

The CALO meeting speech recognition and understanding system

Gökhan Tür, Dilek Z. Hakkani-Tür, Andreas Stolcke, 2008, 2008 IEEE Spoken Language Technology Workshop.

Weighting schemes for audio-visual fusion in speech recognition

Hervé Glotin, Juergen Luettin, Chalapathy Neti, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Integration of multiple knowledge sources in speech recognition using minimum error training

D. Vergyri, Frederick Jelinek, 2001 .

Morphology-based language modeling for arabic speech recognition

Andreas Stolcke, Kevin Duh, Dimitra Vergyri, 2004, INTERSPEECH.

An efficient repair procedure for quick transcriptions

Andreas Stolcke, Wen Wang, Dimitra Vergyri, 2004, INTERSPEECH.