Petr Schwarz

发表

A novel estimation of feature-space MLLR for full-covariance models

Kai Feng, Ariya Rastrow, Lukás Burget, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Some Like It Gaussian

Pavel Matejka, Jan Cernocký, Martin Karafiát, 2002, TSD.

Approaches to automatic lexicon learning with limited training examples

Kai Feng, Ariya Rastrow, Lukás Burget, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

BUT/Phonexia Bottleneck Feature Extractor

Lukás Burget, Pavel Matejka, Jan Cernocký, 2018, Odyssey.

BUT language recognition system for NIST 2007 evaluations

Lukás Burget, Pavel Matejka, Jan Cernocký, 2008, INTERSPEECH.

Vzdělávání, zvyšování kvalifikace a rozvoj zaměstnanců ve společnosti ICOM transport a.s.

Petr Schwarz, 2010 .

Indexing and Search Methods for Spoken Documents

Lukás Burget, Pavel Matejka, Jan Cernocký, 2006, TSD.

SUBSPACE GAUSSIAN MIXTURE MODELS FOR SPEECH RECOGNITION

Kai Feng, Ariya Rastrow, Lukás Burget, 2009 .

Spoken Term Detection System Based on Combination of LVCSR and Phonetic Search

Lukás Burget, Pavel Matejka, Jan Cernocký, 2007, MLMI.

The subspace Gaussian mixture model - A structured model for speech recognition

Kai Feng, Ariya Rastrow, Lukás Burget, 2011, Comput. Speech Lang..

Migrating i-vectors between speaker recognition systems using regression neural networks

Lukás Burget, Pavel Matejka, Ondrej Glembek, 2015, INTERSPEECH.

Automatic Language Identification Using Phoneme and Automatically Derived Unit Strings

Pavel Matejka, Jan Cernocký, Igor Szöke, 2004, TSD.

BUT system for NIST 2008 speaker recognition evaluation

Lukás Burget, Pavel Matejka, Jan Cernocký, 2009, INTERSPEECH.

Confidence estimation, OOV detection and language ID using phone-to-word transduction and phone-level alignments

Geoffrey Zweig, Hynek Hermansky, Lukás Burget, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Hierarchical Structures of Neural Networks for Phoneme Recognition

Pavel Matejka, Jan Cernocký, Petr Schwarz, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Discriminative training and channel compensation for acoustic language recognition

Lukás Burget, Pavel Matejka, Petr Schwarz, 2008, INTERSPEECH.

Search in Speech for Public Security and Defense

Pavel Matejka, Pavel Smrz, Jan Cernocky, 2007 .

Use of Anti-Models to Further Improve State-of-the-Art PRLM Language Recognition System

Lukás Burget, Pavel Matejka, Jan Cernocký, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

STBU System for the NIST 2006 Speaker Recognition Evaluation

David A. van Leeuwen, Lukás Burget, Pavel Matejka, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006

David A. van Leeuwen, Lukás Burget, Pavel Matejka, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Phonotactic language identification using high quality phoneme recognition

Pavel Matejka, Jan Cernocký, Petr Schwarz, 2005, INTERSPEECH.

High-Accuracy Phone Recognition By Combining High-Performance Lattice Generation and Knowledge Based Rescoring

Chin-Hui Lee, Sabato Marco Siniscalchi, Petr Schwarz, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System

Lukás Burget, Pavel Matejka, Jan Cernocký, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Towards Lower Error Rates in Phoneme Recognition

Pavel Matejka, Jan Cernocký, Petr Schwarz, 2004, TSD.

The 2013 speaker recognition evaluation in mobile environment

Sébastien Marcel, Ricardo P. V. Violato, Flávio O. Simões, 2013, 2013 International Conference on Biometrics (ICB).

Recognition of phoneme strings using TRAP technique

Pavel Matejka, Jan Cernocký, Petr Schwarz, 2003, INTERSPEECH.

Phoneme Based Acoustics Keyword Spotting in Informal Continuous Speech

Lukás Burget, Pavel Matejka, Jan Cernocký, 2005, TSD.

Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models

Kai Feng, Ariya Rastrow, Lukás Burget, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Acquisition of Telephone Data from Radio Broadcasts with Applications to Language Recognition

Lukás Burget, Pavel Matejka, Oldrich Plchot, 2008, TSD.

Information Retrieval from Spoken Documents

Lukás Burget, Jan Cernocký, Martin Karafiát, 2006, CICLing.

Comparison of keyword spotting approaches for informal continuous speech

Lukás Burget, Pavel Matejka, Jan Cernocký, 2005, INTERSPEECH.

Phoneme Recognition Using Temporal Patterns

Hynek Hermansky, Pavel Matejka, Jan Cernocký, 2003, TSD.

A symmetrization of the Subspace Gaussian Mixture Model

Daniel Povey, Martin Karafiát, Arnab Ghoshal, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Evaluation of Phonexia automatic speaker recognition software under conditions reflecting those of a real forensic voice comparison case (forensic_eval_01)

Yosef A. Solewicz, Michael Jessen, Petr Schwarz, 2019, Speech Commun..

Robust Heteroscedastic Linear Discriminant Analysis and LCRC Posterior Features in Meeting Data Recognition

Lukás Burget, Jan Cernocký, Martin Karafiát, 2006, MLMI.

Brno University of Technology System for NIST 2005 Language Recognition Evaluation

Lukás Burget, Pavel Matejka, Jan Cernocký, 2006, 2006 IEEE Odyssey - The Speaker and Language Recognition Workshop.

The Kaldi Speech Recognition Toolkit

Daniel Povey, Mirko Hannemann, Georg Stemmer, 2011 .

Combination of strongly and weakly constrained recognizers for reliable detection of OOVS

Hynek Hermansky, Ariya Rastrow, Lukás Burget, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust heteroscedastic linear discriminant analysis and LCRC posterior features in large vocabulary continuous speech recognition

Martin Karafiát, Petr Schwarz, Lukáš Burget, 2022 .

Low Development Cost , High Quality Speech Recognition for New Languages and Domains ” : Report from 2009 Johns Hopkins / CLSP Summer Workshop

Ariya Rastrow, Daniel Povey, Martin Karafiát, 2009 .