Konstantin Markov

发表

Development of Indonesian Large Vocabulary Continuous Speech Recognition System within A-STAR Project

Satoshi Nakamura, Sakriani Sakti, Eka Kelana, 2008, IJCNLP.

Advanced Acoustic Modeling with the Hybrid HMM/BN Framework

Satoshi Nakamura, Konstantin Markov, 2004 .

A Hybrid HMM/BN Acoustic Model for Automatic Speech Recognition

Konstantin Markov, K. Markov, 2003 .

Incorporating Knowledge Sources Into a Statistical Acoustic Model for Spoken Language Communication Systems

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2007, IEEE Transactions on Computers.

Dynamic Music Emotion Recognition Using Kernel Bayes' Filter

Tomoko Matsui, Konstantin Markov, 2015, MediaEval.

Deep learning based personality recognition from Facebook status updates

Konstantin Markov, Jianguo Yu, K. Markov, 2017, 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST).

Music Genre and Emotion Recognition Using Gaussian Processes

Tomoko Matsui, Konstantin Markov, T. Matsui, 2014, IEEE Access.

Forward-backwards training of hybrid HMM/BN acoustic models

Satoshi Nakamura, Konstantin Markov, Satoshi Nakamura, 2006, INTERSPEECH.

Text-independent speaker recognition using multiple information sources

Seiichi Nakagawa, Konstantin Markov, 1998, ICSLP.

A method to integrate additional knowledge sources into HMM based on junction tree decomposition

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2007, 2007 15th European Signal Processing Conference.

State-of-the-art speech recognition technologies for Russian language

Alexey Karpov, Konstantin Markov, Irina S. Kipyatkova, 2012, HCCE '12.

Improving Acoustic Model Precision by Incorporating a Wide Phonetic Context Based on a Bayesian Framework

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2006, IEICE Trans. Inf. Syst..

Speech activity and speaker novelty detection methods for meeting processing

Andrey Ronzhin, Alexey Karpov, Konstantin Markov, 2009, 2009 International Conference on Ultra Modern Telecommunications & Workshops.

Incorporating a Bayesian wide phonetic context model for acoustic rescoring

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2005, INTERSPEECH.

Never-ending learning system for on-line speaker diarization

Satoshi Nakamura, Konstantin Markov, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Multi-lingual speech recognition system for speech-to-speech translation

Satoshi Nakamura, Hirofumi Yamamoto, Takatoshi Jitsuhiro, 2004, IWSLT.

Graphical Framework to Incorporate Knowledge Sources

Satoshi Nakamura, Wolfgang Minker, Sakriani Sakti, 2009 .

Never-ending learning with dynamic hidden Markov network

Satoshi Nakamura, Konstantin Markov, 2007, INTERSPEECH.

Phoneme set selection for russian speech recognition

Konstantin Markov, Daria Vazhenina, 2011, 2011 7th International Conference on Natural Language Processing and Knowledge Engineering.

ADVANCED APPROACHESTO SPEAKERDIARIZATIONOF AUDIO DOCUMENTS

Konstantin Markov, 2009 .

Articulatory and spectrum features integration using generalized distillation framework

Tomoko Matsui, Konstantin Markov, Jianguo Yu, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Improved novelty detection for online GMM based speaker diarization

Satoshi Nakamura, Konstantin Markov, 2008, INTERSPEECH.

An HMM acoustic model incorporating various additional knowledge sources

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2007, INTERSPEECH.

Speaker verification using frame and utterance level likelihood normalization

Seiichi Nakagawa, Konstantin Markov, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Statistical Speech Recognition

Satoshi Nakamura, Wolfgang Minker, Sakriani Sakti, 2009 .

Discriminative training of GMM using a modified EM algorithm for speaker recognition

Seiichi Nakagawa, Konstantin Markov, 1998, ICSLP.

Advanced approaches to speaker diarization of audio documents

Konstantin Markov, 2009, 2009 Joint Conferences on Pervasive Computing (JCPC).

Design and Implementation of HMM/BN Acoustic Models

Satoshi Nakamura, Konstantin Markov, Satoshi Nakamura, 2004 .

Music Emotion Recognition using Gaussian Processes

Tomoko Matsui, Konstantin Markov, Motofumi Iwata, 2013, MediaEval.

Frame level likelihood normalization for text-independent speaker identification using Gaussian mixture models

Seiichi Nakagawa, Konstantin Markov, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Large Vocabulary ASR System based on the Hybrid HMM/BN model

Satoshi Nakamura, Konstantin Markov, Satoshi Nakamura, 2002 .

A Hybrid HMM/BN Acoustic Utilizing Pentaphone-Context Dependency

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2006 .

Probabilistic Pronunciation Variation Model Based on Bayesian Network for Conversational Speech Recognition

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2008, 2008 Second International Symposium on Universal Communication.

Novel high-rejection LTCC diplexers for dual-band WLAN applications

Konstantin Markov, Denys Orlenko, Georgiy Sevskiy, 2005, IMS 2005.

Evaluation of Advanced Language Modeling Techniques for Russian LVCSR

Konstantin Markov, Daria Vazhenina, 2013, SPECOM.

Robust Speech Recognition Using Generalized Distillation Framework

Tomoko Matsui, Konstantin Markov, T. Matsui, 2016, INTERSPEECH.

High level feature extraction for the self-taught learning algorithm

Tomoko Matsui, Konstantin Markov, 2013, EURASIP J. Audio Speech Music. Process..

ATR Parallel Decoding Based Speech Recognition System Robust to Noise and Speaking Styles

Satoshi Nakamura, Takatoshi Jitsuhiro, Shigeki Matsuda, 2006, IEICE Trans. Inf. Syst..

Dynamic Music Emotion Recognition Using State-Space Models

Tomoko Matsui, Konstantin Markov, 2014, MediaEval.

Speaking Style Based Apparent Personality Recognition

Alexey Karpov, Konstantin Markov, Jianguo Yu, 2019, SPECOM.

Integration of articulatory and spectrum features based on the hybrid HMM/BN modeling framework

Jianwu Dang, Satoshi Nakamura, Konstantin Markov, 2006, Speech Commun..

Nonnegative matrix factorization based self-taught learning with application to music genre classification

Tomoko Matsui, Konstantin Markov, T. Matsui, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Improvement of Speech Recognition Method Using Speech Production Mechanism

Satoshi Nakamura, Konstantin Markov, Jianwu Dang, 2003 .

Discriminative training of HMM using maximum normalized likelihood algorithm

Satoshi Nakamura, Seiichi Nakagawa, Konstantin Markov, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Music genre classification using self-taught learning via sparse coding

Tomoko Matsui, Konstantin Markov, T. Matsui, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Noise and Channel Distortion Robust ASR System for DARPA SPINE2 Task

Satoshi Nakamura, Rainer Gruhn, Tomoko Matsui, 2003 .

Text-Independent Speaker Identification Utilizing Likelihood Normalization Technique

Konstantin Markov, Seiichi Nakagawa, 1997 .

Sequence memoizer based language model for Russian speech recognition

Konstantin Markov, Daria Vazhenina, 2014, SLTU.

Factored language modeling for Russian LVCSR

Konstantin Markov, Daria Vazhenina, 2013, 2013 International Joint Conference on Awareness Science and Technology & Ubi-Media Computing (iCAST 2013 & UMEDIA 2013).

Viseme-dependent weight optimization for CHMM-based audio-visual speech recognition

Andrey Ronzhin, Alexey Karpov, Konstantin Markov, 2010, INTERSPEECH.

Articulatory and Spectrum Information Fusion Based on Deep Recurrent Neural Networks

Konstantin Markov, Jianguo Yu, Tomoko Matsui, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

The ATR Multilingual Speech-to-Speech Translation System

Satoshi Nakamura, Eiichiro Sumita, Hirofumi Yamamoto, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Dynamic speech emotion recognition with state-space models

Gareth W. Peters, Tomoko Matsui, Konstantin Markov, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Text-independent speaker recognition using non-linear frame likelihood transformation

Seiichi Nakagawa, Konstantin Markov, S. Nakagawa, 1998, Speech Commun..

Using Hybrid HMM/BN Acoustic Models: Design and Implementation Issues

Satoshi Nakamura, Konstantin Markov, Satoshi Nakamura, 2006, IEICE Trans. Inf. Syst..

Hybrid HMM/BN ASR system integrating spectrum and articulatory features

Jianwu Dang, Satoshi Nakamura, Konstantin Markov, 2003, INTERSPEECH.

Music genre classification using Gaussian Process models

Tomoko Matsui, Konstantin Markov, T. Matsui, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Developing Robust Baseline Acoustic Models for Noisy Speech Recognition in SPINE2 Project

Rainer Gruhn, Satoshi Nakamura, Konstantin Markov, 2002 .

Integration of articulatory dynamic parameters in HMM/BN based speech recognition system

Jianwu Dang, Satoshi Nakamura, Konstantin Markov, 2004, INTERSPEECH.

Speech Recognition Using GFIKS

Satoshi Nakamura, Wolfgang Minker, Sakriani Sakti, 2009 .

Emotional Analysis of Music: A Comparison of Methods

Yi-Hsuan Yang, Mohammad Soleymani, Björn W. Schuller, 2014, ACM Multimedia.

Large vocabulary Russian speech recognition using syntactico-statistical language modeling

Andrey Ronzhin, Alexey Karpov, Konstantin Markov, 2014, Speech Commun..

Modeling successive frame dependencies with hybrid HMM/BN acoustic model

Satoshi Nakamura, Konstantin Markov, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Unified User-Interface and Protocol for Managing Heterogeneous Deep Learning Services

Konstantin Markov, Alexander Vazhenin, Subhash Bhalla, 2017, SoMeT.

Incorporation of Pentaphone-Context Dependency Based on Hybrid Hmm/Bn Acoustic Modeling Framework

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Modeling HMM state distributions with Bayesian networks

Satoshi Nakamura, Konstantin Markov, 2002, INTERSPEECH.

Recent Developments in the Russian Speech Recognition Technology

Konstantin Markov, Daria Vazhenina, 2010, 2010 IEEE/ACIS 9th International Conference on Computer and Information Science.

The use of Bayesian network for incorporating accent, gender and wide-context dependency information

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2006, INTERSPEECH.

Frame level likelihood transformations for ASR and utterance verification

Satoshi Nakamura, Konstantin Markov, 2000, INTERSPEECH.

Hybrid HMM/BN LVCSR system integrating multiple acoustic features

Satoshi Nakamura, Konstantin Markov, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Integrating pitch and LPC-residual information with LPC-cepstrum for text-independent speaker recognition

Konstantin Markov, Seiichi Nakagawa, S. Nakagawa, 1999 .

Language identification with dynamic hidden Markov network

Konstantin Markov, Shun Nakamura, K. Markov, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A statistical lexicon for non-native speech recognition

Satoshi Nakamura, Rainer Gruhn, Konstantin Markov, 2004, INTERSPEECH.

ベイジアンネットとジャンクションツリー分解を用いて知識を組み込んだ統計的音響モデル(Session-5 特徴量・音響モデル,第8回音声言語シンポジウム)

Konstantin Markov, 中村哲, Sakriani Sakti, 2006 .

A Hybrid HMM/BN Acoustic Model Utilizing Pentaphone-Context Dependency

Satoshi Nakamura, Sakriani Sakti, Konstantin Markov, 2006, IEICE Trans. Inf. Syst..

Incorporating Knowledge Sources into Statistical Speech Recognition

Satoshi Nakamura, Wolfgang Minker, Sakriani Sakti, 2009, Lecture Notes in Electrical Engineering.

Recent Progress in Developing Indonesian Large-Vocabulary Corpora and LVCSR System

Satoshi Nakamura, Sakriani Sakti, Eka Kelana, 2008 .