• Türkçe
    • English
  • Türkçe 
    • Türkçe
    • English
  • Giriş
Öğe Göster 
  •   DSpace Ana Sayfası
  • Fakülteler / Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • Öğe Göster
  •   DSpace Ana Sayfası
  • Fakülteler / Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • Öğe Göster
JavaScript is disabled for your browser. Some features of this site may not work without it.

Extraction and comparison of various prosodic feature sets on sentence segmentation task for Turkish broadcast news data

Thumbnail
Göster/Aç
Publisher's Version (289.8Kb)
Tarih
2014-05-14
Yazar
Dalva, Doğan
Revidi, İzel D.
Güz, Ümit
Gürkan, Hakan
Metadata
Tüm öğe kaydını göster
Özet
In this work, prosodic features of the Turkish Broadcast News (BN) data are extracted using an open source prosodic feature extraction tool based on Praat. The profiles and effectiveness of these features are also investigated for the sentence segmentation task on the Turkish BN data. We not only used some combinations of the feature sets but also collected some of them in one prosodic feature model in order to achieve one of the best performance. The results of the experiments show that some combinations of the prosodic feature sets are very useful for the automatic sentence segmentation task on the Turkish BN data.
Bağlantı
http://hdl.handle.net/11729/718
http://dx.doi.org/10.1109/JCSSE.2014.6841844
Collections
  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering [90]

İlgili öğeler

Başlık, yazar, küratör ve konuya göre gösterilen ilgili öğeler.

  • Extraction and selection of muscle based features for facial expression recognition 

    Benli, Kristin Surpuhi; Eskil, Mustafa Taner (IEEE Computer Soc, 2014-08-24)
    In this study we propose a new set of muscle activity based features for facial expression recognition. We extract muscular activities by observing the displacements of facial feature points in an expression video. The ...
  • A novel human identification system based on electrocardiogram features 

    Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (IEEE, 2013)
    In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 ...
  • Anatomy based Features for Facial Expression Recognition 

    Benli, Kristin Surpuhi; Eskil, Mustafa Taner (IEEE, 2014-04-23)
    In this study we propose a set of anatomy based features for facial expression recognition. The muscle forces that constitute an expression are solved by tracking carefully selected facial feature points. These points are ...

DSpace software copyright © 2002-2013  Duraspace
İletişim | Geri Bildirim
Theme by 
@mire NV
 

 

Göz at

Tüm DSpaceBölümler & KoleksiyonlarTarihe GöreYazara GöreBaşlığa GöreKonuya GöreBu KoleksiyonTarihe GöreYazara GöreBaşlığa GöreKonuya Göre

Hesabım

GirişKayıt

DSpace software copyright © 2002-2013  Duraspace
İletişim | Geri Bildirim
Theme by 
@mire NV