ISOLATED WORD RECOGNITION AND SPEAKER IDENTIFICATION USING TWO-DIMENSIONAL HALF-PLANE LATTICE PARAMETERS OF SPECTROGRAMS.

Shawcross C., Parker S., Kayran A. H.

Digital Signal Processing - 84, Proceedings of the International Conference., Florence, İtalya, ss.449-453 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Florence
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.449-453
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

The two dimensional image of a speech spectrogram or voiceprint is modelled using the asymmetric autoregressive half plane lattice model to obtain a set of lattice parameters which form the observation vector of a word or feature recognizing algorithm. Both FFT and Wigner transforms were used to process the raw speech data into a two dimensional form suitable for lattice modelling.