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Multilingual speech data collection for the assessment of pronunciation and prosody in a language learning system

  1. TitleMultilingual speech data collection for the assessment of pronunciation and prosody in a language learning system
    Author Jokisch O.
    Co-authors Wagner A.

    Sabo Róbert 1981- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Jäckel R.

    Cylwik N.

    Rusko Milan 1960- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Ronzhin A.

    Hoffman R.

    Source document / Karpov A. SPECOM´2009 : 13-th International Conference "Speech and Computer". P. 515-520. - St. Petersburg : Russian Academy of Science St. Petersburg Institute for Informatics and Automation : Russian Academy of Science St. Petersburg State University of Aerospace Instrumentation, 2009 ; International Conference "Speech and Computer" SPECOM´2009
    Languageeng - English
    CountryRU - Russian Federation
    Document kindrozpis článkov z periodík (rzb)
    CitationsKIPYATKOVA, I.S. - KARPOV, A.A. Experiments on continuous Russian speech recognition with usage of an extra-large vocabulary. In Trudy SPIIRAN. 2010, no. 12, pp. 63-74.
    KIPYATKOVA, I.S. Issledovanije statističeskich n-grammnych modelej jazyka dlja raspoznavanija slitkoj russkoj reči so sverchboľšim slovarem. In Četvertyj meždunarodnyj seminar "Analiz razgovornoj russkoj reči" - AP3 2010. 2010, pp. 33-40.
    HILBERT, A . - MIXDORFF, H. - DING, H. - PFITZINGER, H. - JOKISCH, O. Prosodic analysis of German produced by Russian and Chinese learners. In Proceedings of the 5th International Conference on Speech Prosody, Chicago, 2010.
    KIPYATKOVA, I.S. - KARPOV, A.A. Opyt razrabotki modeli raspoznavanija russkoj reči so sverchboľšim slovarjem. In Open Semantic Technologies for Intelligent Systems - OSTIS-2011. 2011, pp. 409-412.
    KIPYATKOVA, I.S. Primenenije sintaksičeskogo analiza pri sozdanii n-grammnoj modeli jazyka dlja sistem raspoznavanija russkoj reči. In 5-tyj meždisciplinarnyj seminar "Analiz razgavornoj russkoj reči" - AP3-2011. 2011. 2011, pp. 13-19.
    VAZHENINA, D. - MARKOV, K. Phoneme set selection for Russian speech recognition. In 2011 7th International Conference Natural Language Processing and Knowledge Engineering (NLP-KE). 2011, pp. 475-478.
    VAZHENINA, Daria - MARKOV, Konstantin. Evaluation of advanced language modeling techniques for Russian LVCSR. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2013-10-10, 8113 LNAI, pp. 124-131.
    KIPYATKOVA, Irina - KARPOV, Alexey. Lexicon size and language model order optimization for Russian LVCSR. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2013-10-10, 8113 LNAI, pp. 219-226.
    VAZHENINA, Daria - MARKOV, Konstantin. Factored Language Modeling for Russian LVCSR. In 2013 INTERNATIONAL JOINT CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY & UBI-MEDIA COMPUTING (ICAST-UMEDIA), 2013, vol., no., pp. 205-210.
    KIPYATKOVA, Irina - KARPOV, Alexey - VERKHODANOVA, Vasilisa - ŽELEZNÝ, Miloš. Modeling of pronunciation, language and nonverbal units at conversational Russian speech recognition. In International Journal of Computer Science and Applications. ISSN 09729038, 2013-07-30, 10, 1, pp. 11-30.
    WAGNER, P. (What is) the contribution of phonetics to contemporary speech synthesis (?) . In Systemtheorie. Signalverarbeitung. Sprachtechnologie. Rüdiger Hoffmann zum 65. Geburtstag. Studientexte zur Sprachkommunikation. 2013, vol. 68, 7 p.
    KIPYATKOVA, Irina - KARPOV, Alexey. Study of Morphological Factors of Factored Language Models for Russian ASR. In SPEECH AND COMPUTER. ISSN 0302-9743, 2014, vol. 8773, no., pp. 451-458.
    KIPYATKOVA, I. - VERKHODANOVA, V. - KARPOV, A. Rescoring N-Best Lists for Russian Speech Recognition Using Factored Language Models. SLTU-2014, St. Petersburg, Russia, 14-16 May 2014, p. 81-86.
    VAZHENINA, D. - MARKOV, K. Sequence Memoizer Based Language Model for Russian Speech Recognition. In SLTU-2014, St. Petersburg, Russia, 2014, pp. 183-187.
    BUGDOL, Marcin - SEGIET, Zuzanna - KRECICHWOST, Michal. Pronunciation Error Detection Using Dynamic Time Warping Algorithm. In INFORMATION TECHNOLOGIES IN BIOMEDICINE, VOL 4. ISSN 2194-5357, 2014, vol. 284, no., pp. 345-354.
    WAGNER, P. (What is) the contribution of phonetics to contemporary speech synthesis (?). In Systemtheorie. Signalverarbeitung. Sprachtechnologie. Rüdiger Hoffmann zum 65. Geburtstag, Band 68. Book Chapter. PUB-ID: 2614256 Mark. 2013.
    VAZHENINA, D.A. - KIPYATKOVA, I.S. - MARKOV, K.P. - KARPOV, A.A. Technique for phoneme set selection for automatic Russian speech recognition. In Trudy SPIIRAN. 2014, no. 36, pp. 92-113.
    RONZHIN, Andrey - BUDKOV, Victor. Speaker turn detection based on multimodal situation analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2013-10-10, 8113 LNAI, pp. 302-309.
    RONZHIN, Andrey - BUDKOV, Viktor - KIPYATKOVA, Irina. PARAD-R: Speech Analysis Software for Meeting Support. In 2013 9TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING (ICICS), 2013, vol., no., pp.
    KARPOV, Alexey - MARKOV, Konstantin - KIPYATKOVA, Irina - VAZHENINA, Dania - RONZHIN, Andrey. Large vocabulary Russian speech recognition using syntactico-statistical language modeling. In SPEECH COMMUNICATION. ISSN 0167-6393, 2014, vol. 56, no., pp. 213-228.
    KIPYATKOVA, I. - KARPOV, A. Development of factored language models for automatic russian speech recognition. In Computational Linguistics and Intelectual Technologies: Papers from the Annual Conference "Dialogue". 2015, pp. 234-246.
    KIPYATKOVA, Irina - KARPOV, Alexey. A Comparison of RNN LM and FLM for Russian Speech Recognition. In SPEECH AND COMPUTER (SPECOM 2015). ISSN 0302-9743, 2015, vol. 9319, no., pp. 42-50.
    KIPYATKOVA, Irina - KARPOV, Alexey. Recurrent Neural Network-based Language Modeling for an Automatic Russian Speech Recognition System. In 2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT), 2015, vol., no., pp. 33-38.
    MIODONSKA, Zuzanna - BUGDOL, Marcin D. - KRECICHWOST, Michal. Dynamic time warping in phoneme modeling for fast pronunciation error detection. In COMPUTERS IN BIOLOGY AND MEDICINE. ISSN 0010-4825, 2016, vol. 69, no., pp. 277-285.
    KIPYATKOVA, Irina - KARPOV, Alexey. Language Models with RNNs for Rescoring Hypotheses of Russian ASR. In ADVANCES IN NEURAL NETWORKS ISNN 2016. ISSN 0302-9743, 2016, vol. 9719, no., pp. 418-425.
    MESZAROS, M. - MARUSCHKE, M. Verhaltensanalyse von einplatinencomputern beim transcoding von echtzeit-audiodaten. In Proceedings of 27th Conference on Electronic Speech Signal Processing (ESSV). ISBN: 978-3-95908-040-8, 2016, 9 p.
    KIPYATKOVA, Irina. Experimenting with hybrid TDNN/HMM acoustic models for russian speech recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2017-01-01, 10458 LNAI, pp. 362-369.
    SAFARIK, Radek - NOUZA, Jan. Unified approach to development of ASR systems for east slavic languages. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2017-01-01, 10583 LNAI, pp. 193-203.
    KIPYATKOVA, Irina. Improving Russian LVCSR Using Deep Neural Networks for Acoustic and Language Modeling. In SPEECH AND COMPUTER (SPECOM 2018). ISSN 0302-9743, 2018, vol. 11096, no., pp. 291-300.
    KIPYATKOVA, Irina - KARPOV, Alexey. Class-based LSTM Russian language model with linguistic information. In LREC 2020 12th International Conference on Language Resources and Evaluation, Conference Proceedings, 2020-01-01, pp. 2470-2474.
    KIPYATKOVA, Irina - MARKOVNIKOV, Nikita. Experimenting with Attention Mechanisms in Joint CTC-Attention Models for Russian Speech Recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2020-01-01, 12335 LNAI, pp. 214-222.
    CategoryAEC - Scientific papers in foreign peer-reviewed proceedings, monographs
    Category of document (from 2022)V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka
    Type of documentpríspevok
    Year2009
    article

    article

    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    2009
Number of the records: 1  

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