1 Ocak 2010 Konferans bildirisi Açık Erişim

Zubari, Unal; Ozan, Ezgi Can; Acar, Banu Oskay; Ciloglu, Tolga; Esen, Ersin; Ates, Tugrul K.; Onur, Duygu Oskay

Dublin Core

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  <dc:creator>Zubari, Unal</dc:creator>
  <dc:creator>Ozan, Ezgi Can</dc:creator>
  <dc:creator>Acar, Banu Oskay</dc:creator>
  <dc:creator>Ciloglu, Tolga</dc:creator>
  <dc:creator>Esen, Ersin</dc:creator>
  <dc:creator>Ates, Tugrul K.</dc:creator>
  <dc:creator>Onur, Duygu Oskay</dc:creator>
  <dc:date>2010-01-01</dc:date>
  <dc:description>Speech boundary detection contributes to performance of speech based applications such as speech recognition and speaker recognition. Speech boundary detector implemented in this study works on broadcast audio as a pre-processor module of a keyword spotter. Speech boundary detection is handled in 3 steps. At first step, audio data is segmented into homogeneous regions in an unsupervised manner. After an ACTIVITY/NON-ACTIVITY decision is made for each region, ACTIVITY regions are classified as Speech/Non-speech via Gaussian Mixture Model (GMM) based classification. GMM's are trained using a novel feature, Spectral Flow Direction (SFD), and an improved multi-band harmonicity feature in addition to widely used Mel Frequency Cepstral Coefficients (MFCC's).</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/92905</dc:identifier>
  <dc:identifier>oai:zenodo.org:92905</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:title>SPEECH DETECTION ON BROADCAST AUDIO</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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