Konstantin Markov

According to our database, Konstantin Markov authored at least 70 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural Cough Counter: A Novel Deep Learning Approach for Cough Detection and Monitoring.

Zongyao Feng, Konstantin Markov, Junpei Saito, Tomoko Matsui

IEEE Access, 2024

FastSpeech2 Based Japanese Emotional Speech Synthesis.

Masaki Ikeda, Konstantin Markov

Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

Combining Graph NN and LLM for Improved Text-Based Emotion Recognition.

Xinhao Zou, Konstantin Markov

Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2024

2023

Psychoacoustic features explain creakiness classifications made by naive and non-naive listeners.

Julián Villegas, Seunghun J. Lee, Jeremy Perkins, Konstantin Markov

Speech Commun., February, 2023

Using Large Language Models for Bug Localization and Fixing.

Do Viet Tung, Konstantin Markov

Proceedings of the 12th International Conference on Awareness Science and Technology, 2023

2022

Future-generation personality prediction from digital footprints.

Yash Mehta, Clemens Stachl, Konstantin Markov, Joseph T. Yun, Björn W. Schuller

Future Gener. Comput. Syst., 2022

Sentence embedding based emotion recognition from text data.

Manabu Ito, Konstantin Markov

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022

Personality Prediction from Social Media Posts using Text Embedding and Statistical Features.

Seiyu Majima, Konstantin Markov

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2020

Prediction of Creaky Speech by Recurrent Neural Networks Using Psychoacoustic Roughness.

Julián Villegas, Konstantin Markov, Jeremy Perkins, Seunghun J. Lee

IEEE J. Sel. Top. Signal Process., 2020

Medical Image Enhancement Using Super Resolution Methods.

Koki Yamashita, Konstantin Markov

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Articulatory and Spectrum Information Fusion Based on Deep Recurrent Neural Networks.

Jianguo Yu, Konstantin Markov, Tomoko Matsui

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Speaking Style Based Apparent Personality Recognition.

Jianguo Yu, Konstantin Markov, Alexey Karpov

Proceedings of the Speech and Computer - 21st International Conference, 2019

2017

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

Absalom Shu, Konstantin Markov, Alexander Vazhenin, Ruth Cortez, Subhash Bhalla, Shashank Shrestha

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2017

Deep learning based personality recognition from Facebook status updates.

Jianguo Yu, Konstantin Markov

Proceedings of the IEEE 8th International Conference on Awareness Science and Technology, 2017

2016

Articulatory and spectrum features integration using generalized distillation framework.

Jianguo Yu, Konstantin Markov, Tomoko Matsui

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Robust Speech Recognition Using Generalized Distillation Framework.

Konstantin Markov, Tomoko Matsui

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Dynamic Music Emotion Recognition Using Kernel Bayes' Filter.

Konstantin Markov, Tomoko Matsui

Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Dynamic speech emotion recognition with state-space models.

Konstantin Markov, Tomoko Matsui, François Septier, Gareth W. Peters

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Large vocabulary Russian speech recognition using syntactico-statistical language modeling.

Alexey Karpov, Konstantin Markov, Irina S. Kipyatkova, Daria Vazhenina, Andrey Ronzhin

Speech Commun., 2014

Music Genre and Emotion Recognition Using Gaussian Processes.

Konstantin Markov, Tomoko Matsui

IEEE Access, 2014

Sequence memoizer based language model for Russian speech recognition.

Daria Vazhenina, Konstantin Markov

Proceedings of the 4th Workshop on Spoken Language Technologies for Under-resourced Languages, 2014

Emotional Analysis of Music: A Comparison of Methods.

Mohammad Soleymani, Anna Aljanaki, Yi-Hsuan Yang, Michael N. Caro, Florian Eyben, Konstantin Markov, Björn W. Schuller, Remco C. Veltkamp, Felix Weninger, Frans Wiering

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Dynamic Music Emotion Recognition Using State-Space Models.

Konstantin Markov, Tomoko Matsui

Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

2013

High level feature extraction for the self-taught learning algorithm.

Konstantin Markov, Tomoko Matsui

EURASIP J. Audio Speech Music. Process., 2013

Evaluation of Advanced Language Modeling Techniques for Russian LVCSR.

Daria Vazhenina, Konstantin Markov

Proceedings of the Speech and Computer - 15th International Conference, 2013

Music genre classification using Gaussian Process models.

Konstantin Markov, Tomoko Matsui

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Music Emotion Recognition using Gaussian Processes.

Konstantin Markov, Motofumi Iwata, Tomoko Matsui

Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

Factored language modeling for Russian LVCSR.

Daria Vazhenina, Konstantin Markov

Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013

2012

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

Konstantin Markov, Tomoko Matsui

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Music genre classification using self-taught learning via sparse coding.

Konstantin Markov, Tomoko Matsui

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

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

Daria Vazhenina, Irina S. Kipyatkova, Konstantin Markov, Alexey Karpov

Proceedings of the Joint International Conference on Human-Centered Computer Environments, 2012

2011

Phoneme set selection for russian speech recognition.

Daria Vazhenina, Konstantin Markov

Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

2010

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

Alexey Karpov, Andrey Ronzhin, Konstantin Markov, Milos Zelezný

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Recent Developments in the Russian Speech Recognition Technology.

Daria Vazhenina, Konstantin Markov

Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010

2009

Incorporating Knowledge Sources into Statistical Speech Recognition

Sakriani Sakti, Satoshi Nakamura, Konstantin Markov, Wolfgang Minker

Lecture Notes in Electrical Engineering 42, Springer, ISBN: 978-0-387-85829-6, 2009

Speech activity and speaker novelty detection methods for meeting processing.

Masahide Sugiyama, Konstantin Markov, Andrey Ronzhin, Victor Budkov, Alexey Karpov, Maria Prischepa

Proceedings of the International Conference on Ultra Modern Telecommunications, 2009

2008

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

Sakriani Sakti, Konstantin Markov, Satoshi Nakamura

Proceedings of the ISUC 2008, 2008

Improved novelty detection for online GMM based speaker diarization.

Konstantin Markov, Satoshi Nakamura

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

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

Sakriani Sakti, Eka Kelana, Hammam Riza, Shinsuke Sakai, Konstantin Markov, Satoshi Nakamura

Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Language identification with dynamic hidden Markov network.

Konstantin Markov, Shun Nakamura

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

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

Sakriani Sakti, Konstantin Markov, Satoshi Nakamura

IEEE Trans. Computers, 2007

An HMM acoustic model incorporating various additional knowledge sources.

Sakriani Sakti, Konstantin Markov, Satoshi Nakamura

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

Never-ending learning with dynamic hidden Markov network.

Konstantin Markov, Satoshi Nakamura

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

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

Sakriani Sakti, Konstantin Markov, Satoshi Nakamura

Proceedings of the 15th European Signal Processing Conference, 2007

Never-ending learning system for on-line speaker diarization.

Konstantin Markov, Satoshi Nakamura

Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

2006

The ATR multilingual speech-to-speech translation system.

Satoshi Nakamura, Konstantin Markov, Hiromi Nakaiwa, Gen-ichiro Kikui, Hisashi Kawai, Takatoshi Jitsuhiro, Jinsong Zhang, Hirofumi Yamamoto, Eiichiro Sumita, Seiichi Yamamoto

IEEE Trans. Speech Audio Process., 2006

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

Konstantin Markov, Jianwu Dang, Satoshi Nakamura

Speech Commun., 2006

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

Sakriani Sakti, Satoshi Nakamura, Konstantin Markov

IEICE Trans. Inf. Syst., 2006

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

Sakriani Sakti, Konstantin Markov, Satoshi Nakamura

IEICE Trans. Inf. Syst., 2006

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

Shigeki Matsuda, Takatoshi Jitsuhiro, Konstantin Markov, Satoshi Nakamura

IEICE Trans. Inf. Syst., 2006

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

Konstantin Markov, Satoshi Nakamura

IEICE Trans. Inf. Syst., 2006

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

Sakriani Sakti, Konstantin Markov, Satoshi Nakamura

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Forward-backwards training of hybrid HMM/BN acoustic models.

Konstantin Markov, Satoshi Nakamura

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

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

Sakriani Sakti, Konstantin Markov, Satoshi Nakamura

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Incorporating a Bayesian wide phonetic context model for acoustic rescoring.

Sakriani Sakti, Satoshi Nakamura, Konstantin Markov

Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Modeling Successive Frame Dependencies with Hybrid HMM/BN Acoustic Model.

Konstantin Markov, Satoshi Nakamura

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

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

Satoshi Nakamura, Konstantin Markov, Takatoshi Jitsuhiro, Jinsong Zhang, Hirofumi Yamamoto, Gen-ichiro Kikui

Proceedings of the 2004 International Workshop on Spoken Language Translation, 2004

Speech recognition system robust to noise and speaking styles.

Shigeki Matsuda, Takatoshi Jitsuhiro, Konstantin Markov, Satoshi Nakamura

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

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

Konstantin Markov, Satoshi Nakamura, Jianwu Dang

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

A statistical lexicon for non-native speech recognition.

Rainer Gruhn, Konstantin Markov, Satoshi Nakamura

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

2003

Hybrid HMM/BN ASR system integrating spectrum and articulatory features.

Konstantin Markov, Jianwu Dang, Yosuke Iizuka, Satoshi Nakamura

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Hybrid HMM/BN LVCSR system integrating multiple acoustic features.

Konstantin Markov, Satoshi Nakamura

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Modeling HMM state distributions with Bayesian networks.

Konstantin Markov, Satoshi Nakamura

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

2001

Discriminative training of HMM using maximum normalized likelihood algorithm.

Konstantin Markov, Seiichi Nakagawa, Satoshi Nakamura

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

Frame level likelihood transformations for ASR and utterance verification.

Konstantin P. Markov, Satoshi Nakamura

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1998

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

Konstantin P. Markov, Seiichi Nakagawa

Speech Commun., 1998

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

Konstantin P. Markov, Seiichi Nakagawa

Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

Text-independent speaker recognition using multiple information sources.

Konstantin P. Markov, Seiichi Nakagawa

Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

1997

Speaker verification using frame and utterance level likelihood normalization.

Seiichi Nakagawa, Konstantin P. Markov

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

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

Konstantin P. Markov, Seiichi Nakagawa

Proceedings of the 4th International Conference on Spoken Language Processing, 1996