V. Digalakis

发表

Fast algorithms for phone classification and recognition using segment-based models

Mari Ostendorf, Vassilios Digalakis, Jan Robin Rohlicek, 1992, IEEE Trans. Signal Process..

Automatic scoring of pronunciation quality

Mitch Weintraub, Vassilios Digalakis, Horacio Franco, 2000, Speech Commun..

From HMM's to segment models: a unified view of stochastic modeling for speech recognition

Mari Ostendorf, Vassilios Digalakis, Owen Kimball, 1996, IEEE Trans. Speech Audio Process..

Fast Search Algorithms for Connected Phone Recognition Using the Stochastic Segment Model

Mari Ostendorf, Vassilios Digalakis, Jan Robin Rohlicek, 1990, HLT.

Training data clustering for improved speech recognition

Vassilios Digalakis, Ananth Sankar, Françoise Beaufays, 1995, EUROSPEECH.

Speaker adaptation using constrained estimation of Gaussian mixtures

Vassilios Digalakis, Leonardo Neumeyer, Dimitry Rtischev, 1995, IEEE Trans. Speech Audio Process..

A Dynamical System Approach to Continuous Speech Recognition

Mari Ostendorf, Vassilios Digalakis, Jan Robin Rohlicek, 1991, HLT.

Combining Knowledge Sources to Reorder N-Best Speech Hypothesis Lists pdf

Vassilios Digalakis, Manny Rayner, David M. Carter, 1994, HLT.

Online adaptation of hidden Markov models using incremental estimation algorithms

Vassilios Digalakis, V. Digalakis, 1997, IEEE Trans. Speech Audio Process..

ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition

Mari Ostendorf, Vassilios Digalakis, Jan Robin Rohlicek, 1993, IEEE Trans. Speech Audio Process..

MAXIMUM LIKELIHOOD IDENTIFICATION OF MULTISCALE STOCHASTICMODELS USING THE WAVELET TRANSFORM AND THE EM

V. Digalakis, ALGORITHMVassilios, C. Kenneth, 1993 .

Temporal correlation modeling in a hybrid neural network/hidden Markov model speech recognizer

Vassilios Digalakis, Horacio Franco, H. Franco, 1995, EUROSPEECH.

ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition

J. R. Rohlicek, Mari Ostendorf, V. Digalakis, 1993, IEEE Trans. Speech Audio Process..

Towards a linear dynamical model based speech synthesizer

Ranniery Maia, Vassilios Diakoloukas, Yannis Stylianou, 2015, INTERSPEECH.

Linear dynamical models in speech synthesis

Ranniery Maia, Vassilios Diakoloukas, Yannis Stylianou, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training issues and channel equalization techniques for the construction of telephone acoustic models using a high-quality speech corpus

Mitch Weintraub, Vassilios Digalakis, Leonardo Neumeyer, 1994, IEEE Trans. Speech Audio Process..

Segment-based stochastic models of spectral dynamics for continuous speech recognition

Vassilios Digalakis, V. Digalakis, 1992 .

Combination of machine scores for automatic grading of pronunciation quality

Vassilios Digalakis, Horacio Franco, Leonardo Neumeyer, 2000, Speech Commun..

Speaker adaptation using combined transformation and Bayesian methods

Vassilios Digalakis, Leonardo Neumeyer, V. Digalakis, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Maximum likelihood stochastic transformation adaptation for medium and small data sets

Vassilios Diakoloukas, Vassilios Digalakis, Constantinos Boulis, 2001, Comput. Speech Lang..

From HMM's to segment models: a unified view of stochastic modeling for speech recognition

O. Kimball, Mari Ostendorf, V. Digalakis, 1996, IEEE Transactions on Speech and Audio Processing.

Identification of linear systems in canonical form through an EM framework

Vassilios Digalakis, Pavlos Papadopoulos, V. Digalakis, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Correlation modeling of MLLR transform biases for rapid HMM adaptation to new speakers

Adrian Corduneanu, Vassilios Digalakis, Enrico Bocchieri, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Maximum-likelihood stochastic-transformation adaptation of hidden Markov models

Vassilios Diakoloukas, Vassilios Digalakis, V. Digalakis, 1999, IEEE Trans. Speech Audio Process..

Development of dialect-specific speech recognizers using adaptation methods

Vassilios Diakoloukas, Vassilios Digalakis, Jaan Kaja, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A comparative study of speaker adaptation techniques

Vassilios Digalakis, Ananth Sankar, Leonardo Neumeyer, 1995, EUROSPEECH.

Maximum likelihood identification of multiscale stochastic models using the wavelet transform and the EM algorithm

Kenneth C. Chou, K. C. Chou, Vassilios V. Digalakis, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Maximum Likelihood Identification Of A Dynamical System Model For Speech Using The EM Algorithm

V. Digalakis, V. Digalakis, 1991, Proceedings. 1991 IEEE International Symposium on Information Theory.

A dynamical system approach to approach to continuous recognition

Mari Ostendorf, Vassilios Digalakis, J. R. Rohlicek, 1991 .

Estimation of General Identifiable Linear Dynamic Models with an Application in Speech Recognition

Vassilios Diakoloukas, Vassilios Digalakis, Christos Koniaris, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

A sub-optimal viterbi-like search for linear dynamic models classification

Vassilios Diakoloukas, Vassilios Digalakis, Dimitris Oikonomidis, 2007, INTERSPEECH.

Genones: optimizing the degree of mixture tying in a large vocabulary hidden Markov model based speech recognizer

Vassilios Digalakis, Hy Murveit, V. Digalakis, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

The stochastic segment model for continuous speech recognition

Mari Ostendorf, Vassilios Digalakis, Mari Ostendorf, 1991, [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.

Improvements in the Stochastic Segment Model for Phoneme Recognition

Mari Ostendorf, Vassilios Digalakis, Jan Robin Rohlicek, 1989, HLT.

Joint estimation of multiple undirected graphical models

Vassilios Digalakis, Alexandros Georgogiannis, V. Digalakis, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Large-vocabulary dictation using SRI's DECIPHER speech recognition system: progressive search techniques

Mitch Weintraub, Vassilios Digalakis, Hy Murveit, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Quantization of cepstral parameters for speech recognition over the World Wide Web

Vassilios Digalakis, Manolis Perakakis, Leonardo Neumeyer, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Efficient speech recognition using subvector quantization and discrete-mixture HMMs

Vassilios Digalakis, Stavros Tsakalidis, Leonardo Neumeyer, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Robust speech recognition for multiple topological scenarios of the GSM mobile phone system

Vassilios Digalakis, Theodoros Salonidis, V. Digalakis, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Genones: generalized mixture tying in continuous hidden Markov model-based speech recognizers

Vassilios Digalakis, Hy Murveit, Peter Monaco, 1996, IEEE Trans. Speech Audio Process..