A comparative study of English viseme recognition methods and algorithm - Publikacja - MOST Wiedzy

Wyszukiwarka

A comparative study of English viseme recognition methods and algorithm

Abstrakt

An elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector construction and an appropriate selection of the classifier were sought. The experimental research was conducted on the basis of a spoken corpus in which speech was represented both acoustically and visually. The extracted features represented three types: geometrical, textural and mixed ones. The features were processed employing the classification algorithms based on Hidden Markov Models and Sequential Minimal Optimization. Tests were carried out employing the processed video material recorded with English native speakers who read specially prepared list of commands. The obtained results are discussed in the paper.

Cytowania

  • 1

    CrossRef

  • 0

    Web of Science

  • 1

    Scopus

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuł w czasopiśmie wyróżnionym w JCR
Opublikowano w:
MULTIMEDIA TOOLS AND APPLICATIONS nr 77, strony 16459 - 16532,
ISSN: 1380-7501
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Jachimski D., Czyżewski A.: A comparative study of English viseme recognition methods and algorithm// MULTIMEDIA TOOLS AND APPLICATIONS. -Vol. 77, nr. 13 (2018), s.16459-16532
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/s11042-017-5217-5
Źródła finansowania:
Weryfikacja:
Politechnika Gdańska

wyświetlono 9 razy

Publikacje, które mogą cię zainteresować

Meta Tagi