Allophones in automatic speech recognition

• Autorzy: Kozierski P. , Sadalla T. , Dąbrowski A. , Giernacki W.

Warianty tytułu

PL

Alofony w automatycznym rozpoznawaniu mowy

• Języki publikacji: EN

Abstrakty

EN

The common approach to the speech recognition problem is the use of phonemes as basic parts of speech. The authors proposed allophones usage instead. For rarer allophones the conversion into other allophones (4 selection methods) has been proposed. Based on the obtained results one can say that effective use of the additional information from allophonic notation will not be possible without modification of currently used algorithms.

PL

Typowym podejściem do zagadnienia rozpoznawania mowy jest branie pod uwagę fonemów, jako podstawowych części mowy. Zamiast tego autorzy zaproponowali wykorzystanie alofonów. Dla najrzadziej występujących alofonów zaproponowano ich zamianę na inne alofony – zaproponowano 4 metody wyboru głosek do zamiany. Na podstawie uzyskanych wyników stwierdzono, że efektywne wykorzystanie dodatkowych informacji, jakie niosą alofony, nie będzie możliwe bez modyfikacji obecnie dostępnych algorytmów.

Słowa kluczowe

EN

allophones; automatic speech recognition

PL

alofony; rozpoznawanie mowy automatyczne

• Wydawca: Poznańskie Towarzystwo Przyjaciół Nauk
• Czasopismo: Studia z Automatyki i Informatyki
• Rocznik: 2016
• Tom: T. 41
• Strony: 47--53
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Kozierski P.

• Poznan University of Technology, Faculty of Computing, Chair of Control and Systems Engineering, Division of Signal Processing and Electronic Systems
• Poznan University of Technology, Faculty of Electrical Engineering, Institute of Control and Information Engineering, Piotrowo 3a street, 60-965 Poznan

autor

Sadalla T.

• Poznan University of Technology, Faculty of Electrical Engineering, Institute of Control and Information Engineering, Piotrowo 3a street, 60-965 Poznan

autor

Dąbrowski A.

• Poznan University of Technology, Faculty of Computing, Chair of Control and Systems Engineering, Division of Signal Processing and Electronic Systems, Piotrowo 3a street, 60-965 Poznan

autor

Giernacki W.

• Poznan University of Technology, Faculty of Electrical Engineering, Institute of Control and Information Engineering, Piotrowo 3a street, 60-965 Poznan

Bibliografia

• [1] Polish language - pronunciation - phones (in Polish). https://pl.wiktionary.org/wiki/Aneks:J%C4%99zyk_polski_-_wymowa_-_g%C5%82oski. access 11 I 2017.
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• [3] M. Bisani and H. Ney. Joint-sequence models for grapheme-to-phoneme conversion. Speech Communication, 50(5):434-451, 2008.
• [4] G. Demenko, M. Wypych, and E. Baranowska. Implementation of grapheme-to-phoneme rules and extended sampa alphabet in Polish text-to-speech synthesis. Speech and Language Technology, 7:79-97, 2003.
• [5] P. Żelasko, B. Ziółko, T. Jadczyk, and D. Skurzok. Agh corpus of Polish speech. Language Resources and Evaluation, 50(3):585-601, 2015. DOI: 10.1007/s10579-015-9302-y.
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• [8] P. Kozierski, T. Sadalla, A. Dąbrowski, and D. Horla. Program for Polish whispery speech corpus creation (in Polish). Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska (IAPGOŚ), accepted.
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• [20] S. Wydra. The use of mixed parameterization in Polish speech recognition system (in Polish). In National Conference on Radiocommunication, Radiophony and Television (KKRRiT), Poznań, 2006.
• [21] M. Wypych, E. Baranowska, and G. Demenko. A grapheme-to-phoneme transcription algorithm based on the sampa alphabet extension for the Polish language. In Phonetic Sciences, 15th International Congress of (ICPhS), pages 2601-2604, Barcelona, August 2003.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).