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Speech Recognition with Principal Component Analysis   
Yazarlar (3)
Görgünoğlu Salih
Özkaynak Emrah
Bayır Şafak.
Devamını Göster
Özet
Various researches on speech recognition are carried out nowadays; moreover, hardware and software are developed on this subject. Operations can easily and rapidly be carried out by establishing interaction between computer and human via verbal communication. Therefore, studies related to speech recognition remain important today. Various algorithms have been used in speech recognition processes. Principal Component Analysis was utilised in the recognition of verbal statements within the scope of this study. Initially, eigenvalues and eigenvectors of 100 different words recorded in computer settings were obtained; afterwards, recognition of verbal statement stored in the system is performed by comparing the eigenvectors of verbal statements. The performance and usability of Principal Component Analysis in the recognition of verbal statements and voice commands is examined within the settings of this …
Anahtar Kelimeler
Bildiri Türü Tebliğ/Bildiri
Bildiri Alt Türü Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum)
Bildiri Niteliği Alanında Hakemli Uluslararası Kongre/Sempozyum
Bildiri Dili İngilizce
Kongre Adı 2nd World Conference on Information Technology(WCIT 2011).
Kongre Tarihi /
Basıldığı Ülke
Basıldığı Şehir
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları

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