K
Konstantin Markov
Researcher at University of Aizu
Publications - 78
Citations - 1006
Konstantin Markov is an academic researcher from University of Aizu. The author has contributed to research in topics: Hidden Markov model & Acoustic model. The author has an hindex of 16, co-authored 75 publications receiving 868 citations. Previous affiliations of Konstantin Markov include National Institute of Information and Communications Technology & Toyohashi University of Technology.
Papers
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Journal ArticleDOI
The ATR Multilingual Speech-to-Speech Translation System
Satoshi Nakamura,Konstantin Markov,Hiromi Nakaiwa,Genichiro Kikui,Hisashi Kawai,Takatoshi Jitsuhiro,Jinsong Zhang,H. Yamamoto,Eiichiro Sumita,Seiichi Yamamoto +9 more
TL;DR: The ATR multilingual speech-to-speech translation (S2ST) system, which is mainly focused on translation between English and Asian languages, uses a parallel multilingual database consisting of over 600 000 sentences that cover a broad range of travel-related conversations.
Journal ArticleDOI
Music Genre and Emotion Recognition Using Gaussian Processes
Konstantin Markov,Tomoko Matsui +1 more
TL;DR: This paper built two systems, one for music genre classification and another for music emotion estimation using both SVM and GP models, and compared their performances on two databases of similar size.
Journal ArticleDOI
Large vocabulary Russian speech recognition using syntactico-statistical language modeling
TL;DR: These efforts to build an automatic speech recognition (ASR) system for the Russian language with a large vocabulary are described and it is demonstrated that the proposed language modeling approach is capable of reducing the word recognition errors.
Journal ArticleDOI
Integration of articulatory and spectrum features based on the hybrid HMM/BN modeling framework
TL;DR: The approach taken in this study is to integrate features extracted from actual articulatory data with acoustic MFCC features in a way that allows recognition using MFCC only, and uses the probabilistic dependency between them.
Proceedings Article
Development of Indonesian Large Vocabulary Continuous Speech Recognition System within A-STAR Project.
TL;DR: The paper outlines the development of a large vocabulary continuous speech recognition (LVCSR) system for the Indonesian language within the A-STAR project, an Asian consortium that is expected to advance the state-of-the-art in multilingual man-machine interfaces in the Asian region.