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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 68 1 Influence of Highly Inflected Word Forms and Acoustic Background on the Robustness of Automatic Speech Recognition for Human–Computer Interaction Andrej Zgank In: Mathematics; Volume 10; Issue 5; Pages: 711 (2022) Abstract: Automatic speech recognition is essential for establishing natural communication with a human–computer interface. Speech recognition accuracy strongly depends on the complexity of language. Highly inflected word forms are a type of unit present in some languages. The acoustic background presents an additional important degradation factor influencing speech recognition accuracy. While the acoustic background has been studied extensively, the highly inflected word forms and their combined influence still present a major research challenge. Thus, a novel type of analysis is proposed, where a dedicated speech database comprised solely of highly inflected word forms is constructed and used for tests. Dedicated test sets with various acoustic backgrounds were generated and evaluated with the Slovenian UMB BN speech recognition system. The baseline word accuracy of 93.88% and 98.53% was reduced to as low as 23.58% and 15.14% for the various acoustic backgrounds. The analysis shows that the word accuracy degradation depends on and changes with the acoustic background type and level. The highly inflected word forms’ test sets without background decreased word accuracy from 93.3% to only 63.3% in the worst case. The impact of highly inflected word forms on speech recognition accuracy was reduced with the increased levels of acoustic background and was, in these cases, similar to the non-highly inflected test sets. The results indicate that alternative methods in constructing speech databases, particularly for low-resourced Slovenian language, could be beneficial. Keyword: acoustic background; acoustic modeling; automatic speech recognition; highly inflected word forms; human–computer interaction URL: https://doi.org/10.3390/math10050711 BASE Hide details 2 Discriminative feature modeling for statistical speech recognition ... Tüske, Zoltán. - : RWTH Aachen University, 2021 BASE Show details 3 Cross-lingual acoustic modeling in upper sorbian - preliminary study Duckhorn, Frank; Rjelka, Marek; Wolff, Matthias... In: Fraunhofer IKTS (2021) BASE Show details 4 Glottal Stops in Upper Sorbian: A Data-Driven Approach Wolff, Matthias; Tschöpe, Constanze; Duckhorn, Frank... In: Fraunhofer IKTS (2021) BASE Show details 5 Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS ... Fritsch, Julian; S. Pavankumar Dubagunta; Magimai.-Doss, Mathew. - : Zenodo, 2020 BASE Show details 6 Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS ... Fritsch, Julian; S. Pavankumar Dubagunta; Magimai.-Doss, Mathew. - : Zenodo, 2020 BASE Show details 7 Dealing with linguistic mismatches for automatic speech recognition Yang, Xuesong. - 2019 BASE Show details 8 Speech recognition with probabilistic transcriptions and end-to-end systems using deep learning Das, Amit. - 2018 BASE Show details 9 Phonetic Context Embeddings for DNN-HMM Phone Recognition Badino, Leonardo In: Interspeech 2016 ; https://hal.sorbonne-universite.fr/hal-02166078 ; Interspeech 2016, Sep 2016, SAN FRANCISCO, United States. pp.405-409, ⟨10.21437/Interspeech.2016-1036⟩ (2016) BASE Show details 10 Robust automatic speech recognition for children ... Gurunath Shivakumar, Prashanth. - : University of Southern California Digital Library (USC.DL), 2015 BASE Show details 11 Modeling of a rise-fall intonation pattern in the language of young Paris Speakers Paternostro, Roberto; Goldman, Jean-Philippe In: Speech Prosody ; https://halshs.archives-ouvertes.fr/halshs-01069584 ; Speech Prosody, 2014, 7, pp.814-818 (2014) BASE Show details 12 Vers une modélisation acoustique de l'intonation des jeunes en région parisienne : une question de " proximité " ? Paternostro, Roberto; Goldman, Jean-Philippe In: ISSN: 1661-8246 ; EISSN: 1661-8246 ; Nouveaux Cahiers de Linguistique Française ; https://halshs.archives-ouvertes.fr/halshs-01069593 ; Nouveaux Cahiers de Linguistique Française, Université de Genève, 2014, 31, pp.257-171 (2014) BASE Show details 13 Towards the automatic processing of Yongning Na (Sino-Tibetan): developing a 'light' acoustic model of the target language and testing 'heavyweight' models from five national languages Do, Thi-Ngoc-Diep; Michaud, Alexis; Castelli, Eric In: Proceedings of the 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU 2014) ; 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU 2014) ; https://halshs.archives-ouvertes.fr/halshs-00980431 ; 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU 2014), May 2014, St Petersburg, Russia. pp.153-160 (2014) BASE Show details 14 Modélisation acoustico-phonétique de langues peu dotées : Études phonétiques et travaux de reconnaissance automatique en luxembourgois Adda-Decker, Martine; Lamel, Lori; Adda, Gilles In: Journées d'Etude sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843399 ; Journées d'Etude sur la Parole, Jan 2014, Le Mans, France (2014) BASE Show details 15 Speech Alignment and Recognition Experiments for Luxembourgish Adda-Decker, Martine; Lamel, Lori; Adda, Gilles In: Proceedings of the 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; https://hal.archives-ouvertes.fr/hal-01134824 ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages, May 2014, Saint-Petersbourg, Russia. pp.53-60 ; http://www.mica.edu.vn/sltu2014/ (2014) BASE Show details 16 A First LVCSR System for Luxembourgish, a Low-Resourced European Language Adda-Decker, Martine; Lamel, Lori; Adda, Gilles... In: Human Language Technology Challenges for Computer Science and Linguistics ; https://hal.archives-ouvertes.fr/hal-01135103 ; Zygmunt Vetulani; Joseph Mariani. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.479-490, 2014, 5th Language and Technology Conference, LTC 2011, Poznań, Poland, November 25--27, 2011, Revised Selected Papers, 978-3-319-08957-7. ⟨10.1007/978-3-319-08958-4_39⟩ (2014) BASE Show details 17 Impact of Video Modeling Techniques on Efficiency and Effectiveness of Clinical Voice Assessment Bowyer, Samantha Lauren In: http://rave.ohiolink.edu/etdc/view?acc_num=miami1398686540 (2014) BASE Show details 18 Anger Recognition in Speech Using Acoustic and Linguistic Cues : Elsevier, 2013 BASE Show details 19 Detection of acoustic-phonetic landmarks in mismatched conditions using a biomimetic model of human auditory processing Sarah King In: http://www.isle.uiuc.edu/%7Esborys/king_coling12.pdf (2012) BASE Show details 20 Detection of acoustic-phonetic landmarks in mismatched conditions using a biomimetic model of human auditory processing Sarah King; M Johnson In: http://aclweb.org/anthology/C/C12/C12-2058.pdf (2012) BASE Show details Page: 1 2 3 4

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