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

Citation Style Language JSON

{
  "URL": "https://aperta.ulakbim.gov.tr/record/92905", 
  "abstract": "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).", 
  "author": [
    {
      "family": "Zubari", 
      "given": " Unal"
    }, 
    {
      "family": "Ozan", 
      "given": " Ezgi Can"
    }, 
    {
      "family": "Acar", 
      "given": " Banu Oskay"
    }, 
    {
      "family": "Ciloglu", 
      "given": " Tolga"
    }, 
    {
      "family": "Esen", 
      "given": " Ersin"
    }, 
    {
      "family": "Ates", 
      "given": " Tugrul K."
    }, 
    {
      "family": "Onur", 
      "given": " Duygu Oskay"
    }
  ], 
  "id": "92905", 
  "issued": {
    "date-parts": [
      [
        2010, 
        1, 
        1
      ]
    ]
  }, 
  "title": "SPEECH DETECTION ON BROADCAST AUDIO", 
  "type": "paper-conference"
}