HMM topology for boundary refinement in automatic speech segmentation

Akdemir E., ÇİLOĞLU T.

ELECTRONICS LETTERS, cilt.46, sa.15, ss.1086-1087, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 15
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1049/el.2010.1390
  • Dergi Adı: ELECTRONICS LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1086-1087
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

A boundary refinement method using a new hidden Markov model (HMM) topology is proposed for automatic phonetic speech segmentation. The proposed method has the ability to work at high frame rates and the training and boundary refinement stages are easy and fast. The method is data driven and can be adapted to any speech segmentation problem provided that a training set is available. Given an initial segmentation obtained by forced alignment using an HMM based phone recogniser, 20% decrease in boundary errors is achieved.