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2020 – today
- 2024
[j16]Zongyao Feng, Konstantin Markov
, Junpei Saito, Tomoko Matsui:
Neural Cough Counter: A Novel Deep Learning Approach for Cough Detection and Monitoring. IEEE Access 12: 118816-118829 (2024)- [c52]Masaki Ikeda, Konstantin Markov:
FastSpeech2 Based Japanese Emotional Speech Synthesis. IS 2024: 1-5 - 2023
- [j15]Julián Villegas, Seunghun J. Lee, Jeremy Perkins, Konstantin Markov:
Psychoacoustic features explain creakiness classifications made by naive and non-naive listeners. Speech Commun. 147: 74-81 (2023) - [c51]Do Viet Tung, Konstantin Markov:
Using Large Language Models for Bug Localization and Fixing. iCAST 2023: 192-197 - 2022
- [j14]Yash Mehta, Clemens Stachl, Konstantin Markov, Joseph T. Yun, Björn W. Schuller:
Future-generation personality prediction from digital footprints. Future Gener. Comput. Syst. 136: 322-325 (2022) - [c50]Seiyu Majima, Konstantin Markov:
Personality Prediction from Social Media Posts using Text Embedding and Statistical Features. FedCSIS 2022: 235-240 - [c49]Manabu Ito, Konstantin Markov:
Sentence embedding based emotion recognition from text data. RACS 2022: 53-57 - 2020
- [j13]Julián Villegas, Konstantin Markov, Jeremy Perkins, Seunghun J. Lee:
Prediction of Creaky Speech by Recurrent Neural Networks Using Psychoacoustic Roughness. IEEE J. Sel. Top. Signal Process. 14(2): 355-366 (2020) - [c48]Koki Yamashita, Konstantin Markov:
Medical Image Enhancement Using Super Resolution Methods. ICCS (5) 2020: 496-508
2010 – 2019
- 2019
- [j12]Jianguo Yu, Konstantin Markov, Tomoko Matsui:
Articulatory and Spectrum Information Fusion Based on Deep Recurrent Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 27(4): 742-752 (2019) - [c47]Jianguo Yu, Konstantin Markov, Alexey Karpov:
Speaking Style Based Apparent Personality Recognition. SPECOM 2019: 540-548 - 2017
- [c46]Jianguo Yu, Konstantin Markov:
Deep learning based personality recognition from Facebook status updates. iCAST 2017: 383-387 - [c45]Absalom Shu, Konstantin Markov, Alexander Vazhenin, Ruth Cortez, Subhash Bhalla, Shashank Shrestha:
Unified User-Interface and Protocol for Managing Heterogeneous Deep Learning Services. SoMeT 2017: 563-575 - 2016
- [c44]Konstantin Markov, Tomoko Matsui:
Robust Speech Recognition Using Generalized Distillation Framework. INTERSPEECH 2016: 2364-2368 - [c43]Jianguo Yu, Konstantin Markov, Tomoko Matsui:
Articulatory and spectrum features integration using generalized distillation framework. MLSP 2016: 1-6 - 2015
- [c42]Konstantin Markov, Tomoko Matsui, François Septier, Gareth W. Peters:
Dynamic speech emotion recognition with state-space models. EUSIPCO 2015: 2077-2081 - [c41]Konstantin Markov, Tomoko Matsui:
Dynamic Music Emotion Recognition Using Kernel Bayes' Filter. MediaEval 2015 - 2014
- [j11]Konstantin Markov, Tomoko Matsui:
Music Genre and Emotion Recognition Using Gaussian Processes. IEEE Access 2: 688-697 (2014) - [j10]Alexey Karpov, Konstantin Markov, Irina S. Kipyatkova, Daria Vazhenina, Andrey Ronzhin:
Large vocabulary Russian speech recognition using syntactico-statistical language modeling. Speech Commun. 56: 213-228 (2014) - [c40]Konstantin Markov, Tomoko Matsui:
Dynamic Music Emotion Recognition Using State-Space Models. MediaEval 2014 - [c39]Mohammad Soleymani, Anna Aljanaki, Yi-Hsuan Yang, Michael N. Caro, Florian Eyben, Konstantin Markov, Björn W. Schuller, Remco C. Veltkamp, Felix Weninger, Frans Wiering:
Emotional Analysis of Music: A Comparison of Methods. ACM Multimedia 2014: 1161-1164 - [c38]Daria Vazhenina, Konstantin Markov:
Sequence memoizer based language model for Russian speech recognition. SLTU 2014: 183-187 - 2013
- [j9]Konstantin Markov, Tomoko Matsui:
High level feature extraction for the self-taught learning algorithm. EURASIP J. Audio Speech Music. Process. 2013: 6 (2013) - [c37]Daria Vazhenina, Konstantin Markov:
Factored language modeling for Russian LVCSR. iCAST/UMEDIA 2013: 205-211 - [c36]Konstantin Markov, Motofumi Iwata, Tomoko Matsui:
Music Emotion Recognition using Gaussian Processes. MediaEval 2013 - [c35]Konstantin Markov, Tomoko Matsui:
Music genre classification using Gaussian Process models. MLSP 2013: 1-6 - [c34]Daria Vazhenina, Konstantin Markov:
Evaluation of Advanced Language Modeling Techniques for Russian LVCSR. SPECOM 2013: 124-131 - 2012
- [c33]Daria Vazhenina, Irina S. Kipyatkova, Konstantin Markov, Alexey Karpov:
State-of-the-art speech recognition technologies for Russian language. HCCE 2012: 59-63 - [c32]Konstantin Markov, Tomoko Matsui:
Music genre classification using self-taught learning via sparse coding. ICASSP 2012: 1929-1932 - [c31]Konstantin Markov, Tomoko Matsui:
Nonnegative matrix factorization based self-taught learning with application to music genre classification. MLSP 2012: 1-5 - 2011
- [c30]Daria Vazhenina, Konstantin Markov:
Phoneme set selection for russian speech recognition. NLPKE 2011: 475-478 - 2010
- [c29]Daria Vazhenina, Konstantin Markov:
Recent Developments in the Russian Speech Recognition Technology. ACIS-ICIS 2010: 535-537 - [c28]Alexey Karpov, Andrey Ronzhin, Konstantin Markov, Milos Zelezný:
Viseme-dependent weight optimization for CHMM-based audio-visual speech recognition. INTERSPEECH 2010: 2678-2681
2000 – 2009
- 2009
- [b1]Sakriani Sakti, Satoshi Nakamura, Konstantin Markov, Wolfgang Minker:
Incorporating Knowledge Sources into Statistical Speech Recognition. Lecture Notes in Electrical Engineering 42, Springer 2009, ISBN 978-0-387-85829-6, pp. 1-59 [contents] - [c27]Masahide Sugiyama, Konstantin Markov, Andrey Ronzhin, Victor Budkov, Alexey Karpov, Maria Prischepa:
Speech activity and speaker novelty detection methods for meeting processing. ICUMT 2009: 1-6 - 2008
- [c26]Konstantin Markov, Shun Nakamura:
Language identification with dynamic hidden Markov network. ICASSP 2008: 4233-4236 - [c25]Sakriani Sakti, Eka Kelana, Hammam Riza, Shinsuke Sakai, Konstantin Markov, Satoshi Nakamura:
Development of Indonesian Large Vocabulary Continuous Speech Recognition System within A-STAR Project. IJCNLP 2008: 19-24 - [c24]Konstantin Markov, Satoshi Nakamura:
Improved novelty detection for online GMM based speaker diarization. INTERSPEECH 2008: 363-366 - [c23]Sakriani Sakti, Konstantin Markov, Satoshi Nakamura:
Probabilistic Pronunciation Variation Model Based on Bayesian Network for Conversational Speech Recognition. ISUC 2008: 405-410 - 2007
- [j8]Sakriani Sakti, Konstantin Markov, Satoshi Nakamura:
Incorporating Knowledge Sources Into a Statistical Acoustic Model for Spoken Language Communication Systems. IEEE Trans. Computers 56(9): 1199-1211 (2007) - [c22]Konstantin Markov, Satoshi Nakamura:
Never-ending learning system for on-line speaker diarization. ASRU 2007: 699-704 - [c21]Sakriani Sakti, Konstantin Markov, Satoshi Nakamura:
A method to integrate additional knowledge sources into HMM based on junction tree decomposition. EUSIPCO 2007: 2404-2408 - [c20]Konstantin Markov, Satoshi Nakamura:
Never-ending learning with dynamic hidden Markov network. INTERSPEECH 2007: 1437-1440 - [c19]Sakriani Sakti, Konstantin Markov, Satoshi Nakamura:
An HMM acoustic model incorporating various additional knowledge sources. INTERSPEECH 2007: 2117-2120 - 2006
- [j7]Sakriani Sakti, Satoshi Nakamura, Konstantin Markov:
Improving Acoustic Model Precision by Incorporating a Wide Phonetic Context Based on a Bayesian Framework. IEICE Trans. Inf. Syst. 89-D(3): 946-953 (2006) - [j6]Sakriani Sakti, Konstantin Markov, Satoshi Nakamura:
A Hybrid HMM/BN Acoustic Model Utilizing Pentaphone-Context Dependency. IEICE Trans. Inf. Syst. 89-D(3): 954-961 (2006) - [j5]Konstantin Markov, Satoshi Nakamura:
Using Hybrid HMM/BN Acoustic Models: Design and Implementation Issues. IEICE Trans. Inf. Syst. 89-D(3): 981-988 (2006) - [j4]Shigeki Matsuda, Takatoshi Jitsuhiro, Konstantin Markov, Satoshi Nakamura:
ATR Parallel Decoding Based Speech Recognition System Robust to Noise and Speaking Styles. IEICE Trans. Inf. Syst. 89-D(3): 989-997 (2006) - [j3]Konstantin Markov, Jianwu Dang, Satoshi Nakamura:
Integration of articulatory and spectrum features based on the hybrid HMM/BN modeling framework. Speech Commun. 48(2): 161-175 (2006) - [j2]Satoshi Nakamura, Konstantin Markov, Hiromi Nakaiwa, Gen-ichiro Kikui, Hisashi Kawai, Takatoshi Jitsuhiro, Jinsong Zhang, Hirofumi Yamamoto, Eiichiro Sumita, Seiichi Yamamoto:
The ATR multilingual speech-to-speech translation system. IEEE Trans. Speech Audio Process. 14(2): 365-376 (2006) - [c18]Sakriani Sakti, Konstantin Markov, Satoshi Nakamura:
Incorporation of Pentaphone-Context Dependency Based on Hybrid Hmm/Bn Acoustic Modeling Framework. ICASSP (1) 2006: 1177-1180 - [c17]Konstantin Markov, Satoshi Nakamura:
Forward-backwards training of hybrid HMM/BN acoustic models. INTERSPEECH 2006 - [c16]Sakriani Sakti, Konstantin Markov, Satoshi Nakamura:
The use of Bayesian network for incorporating accent, gender and wide-context dependency information. INTERSPEECH 2006 - 2005
- [c15]Konstantin Markov, Satoshi Nakamura:
Modeling Successive Frame Dependencies with Hybrid HMM/BN Acoustic Model. ICASSP (1) 2005: 701-704 - [c14]Sakriani Sakti, Satoshi Nakamura, Konstantin Markov:
Incorporating a Bayesian wide phonetic context model for acoustic rescoring. INTERSPEECH 2005: 1629-1632 - 2004
- [c13]Konstantin Markov, Satoshi Nakamura, Jianwu Dang:
Integration of articulatory dynamic parameters in HMM/BN based speech recognition system. INTERSPEECH 2004: 561-564 - [c12]Rainer Gruhn, Konstantin Markov, Satoshi Nakamura:
A statistical lexicon for non-native speech recognition. INTERSPEECH 2004: 1497-1500 - [c11]Shigeki Matsuda, Takatoshi Jitsuhiro, Konstantin Markov, Satoshi Nakamura:
Speech recognition system robust to noise and speaking styles. INTERSPEECH 2004: 2817-2820 - [c10]Satoshi Nakamura, Konstantin Markov, Takatoshi Jitsuhiro, Jinsong Zhang, Hirofumi Yamamoto, Gen-ichiro Kikui:
Multi-lingual speech recognition system for speech-to-speech translation. IWSLT 2004: 147-154 - 2003
- [c9]Konstantin Markov, Satoshi Nakamura:
Hybrid HMM/BN LVCSR system integrating multiple acoustic features. ICASSP (1) 2003: 840-843 - [c8]Konstantin Markov, Jianwu Dang, Yosuke Iizuka, Satoshi Nakamura:
Hybrid HMM/BN ASR system integrating spectrum and articulatory features. INTERSPEECH 2003: 965-968 - 2002
- [c7]Konstantin Markov, Satoshi Nakamura:
Modeling HMM state distributions with Bayesian networks. INTERSPEECH 2002: 1013-1016 - 2001
- [c6]Konstantin Markov, Seiichi Nakagawa, Satoshi Nakamura:
Discriminative training of HMM using maximum normalized likelihood algorithm. ICASSP 2001: 497-500 - 2000
- [c5]Konstantin P. Markov, Satoshi Nakamura:
Frame level likelihood transformations for ASR and utterance verification. INTERSPEECH 2000: 1038-1041
1990 – 1999
- 1998
- [j1]Konstantin P. Markov, Seiichi Nakagawa:
Text-independent speaker recognition using non-linear frame likelihood transformation. Speech Commun. 24(3): 193-209 (1998) - [c4]Konstantin P. Markov, Seiichi Nakagawa:
Text-independent speaker recognition using multiple information sources. ICSLP 1998 - [c3]Konstantin P. Markov, Seiichi Nakagawa:
Discriminative training of GMM using a modified EM algorithm for speaker recognition. ICSLP 1998 - 1997
- [c2]Seiichi Nakagawa, Konstantin P. Markov:
Speaker verification using frame and utterance level likelihood normalization. ICASSP 1997: 1087-1090 - 1996
- [c1]Konstantin P. Markov, Seiichi Nakagawa:
Frame level likelihood normalization for text-independent speaker identification using Gaussian mixture models. ICSLP 1996: 1764-1767
Coauthor Index
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last updated on 2024-10-23 21:24 CEST by the dblp team
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