Opis

• Tytuł:
  Auditive perception, acoustic and distributional properties of syllables in Polish
• Twórca:
  Śledziński, Daniel
• Opis:
  This paper presents experiments concerning properties of selected CV syllables. Acoustic speech signal related to particular syllables was analyzed using artificial neural networks. The goal of the analyses was to investigate whether realizations of particular syllables retain acoustic features distinctive of these syllables. Aditionally, a perception test aiming at identification of the same syllable set was carried out. In the test we analyzed to which degree it is possible to identify syllables isolated from the linguistic context. The paper discusses also results on distributional properties of syllables which indicate that such properties may play a significant role in speech perception.;
  This paper presents experiments concerning properties of selected CV syllables. Acoustic speech signal related to particular syllables was analyzed using artificial neural networks. The goal of the analyses was to investigate whether realizations of particular syllables retain acoustic features distinctive of these syllables. Aditionally, a perception test aiming at identification of the same syllable set was carried out. In the test we analyzed to which degree it is possible to identify syllables isolated from the linguistic context. The paper discusses also results on distributional properties of syllables which indicate that such properties may play a significant role in speech perception.Percepcja audytywna, właściwości akustyczne oraz cechy dystrybucyjne sylab w języku polskim
• Dostępność obiektu:
  Dostęp otwarty
• Data:
  2015.12.31
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion;
  Artykuł naukowy
• Język:
  polski;
  pol
• Źródło:
  Investigationes Linguisticae; No. 32 (2015); 106-123;
  Investigationes Linguisticae; Nr 32 (2015); 106-123;
  1426-188X
• Format:
  application/pdf
• Wydawca:
  Adam Mickiewicz University Poznan
• Relacja: http://pressto.amu.edu.pl/index.php/il/article/view/4934/5094
• Temat i słowa kluczowe:
  syllable;
  speech perception;
  artificial neural networks;
  automatic speech recognition;
  sylaba;
  percepcja mowy;
  sztuczne sieci neuronowe;
  automatyczne rozpoznawanie mowy
• Identyfikator: http://pressto.amu.edu.pl/index.php/il/article/view/4934
• Dostawca danych:
  Platforma Otwartych Czasopism Naukowych UAM
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