Automatic Marking of Allophone Boundaries in Isolated English spoken Words - Publikacja - MOST Wiedzy

Wyszukiwarka

Automatic Marking of Allophone Boundaries in Isolated English spoken Words

Abstrakt

The work presents a method that allows delimiting the borders of allophones in isolated English words. The described method is based on the DTW algorithm combining two signals, a reference signal and an analyzed one. As the reference signal, recordings from the MODALITY database were used, from which the words were extracted. This database was also used for tests, which were described. Test results show that the automatic determination of the allophone limits in English words is possible with good accuracy. Tests have been carried out to determine the error of particular allophones borders marking and to find out the cost of matching the given allophone to the reference one. Based on this cost, a coefficient has been introduced that allows for determining in percentage how much the automatically marked allophone is similar to the reference one. This coefficient can be used for an assessment of the correctness of the pronunciation of the allophone. The possibilities of further research and development of this method were also analyzed.

Cytowania

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cytuj jako

Pełna treść

pobierz publikację
pobrano 6 razy
Wersja publikacji
Accepted albo Published Version
Licencja
Copyright (Springer Nature Switzerland AG 2020)

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Aktywność konferencyjna
Typ:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Język:
angielski
Rok wydania:
2020
Opis bibliograficzny:
Rafałko J., Czyżewski A.: Automatic Marking of Allophone Boundaries in Isolated English spoken Words// / : , 2020,
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/978-3-030-47679-3_5
Źródła finansowania:
Weryfikacja:
Politechnika Gdańska

wyświetlono 8 razy

Publikacje, które mogą cię zainteresować

Meta Tagi