Detecting child speaker based on auditory feature vectors for VTL estimation

@article{Nisimura2012DetectingCS,
  title={Detecting child speaker based on auditory feature vectors for VTL estimation},
  author={Ryuichi Nisimura and Shoko Miyamori and Erika Okamoto and Hideki Kawahara and Toshio Irino},
  journal={Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference},
  year={2012},
  pages={1-5}
}
We introduce novel auditory features in the hidden Markov model (HMM) system for detecting child speakers. The features derived by the gammachirp auditory filterbank (GCFB) have been demonstrated to be suitable for vocal tract length (VTL) estimation, both theoretically and experimentally. We performed numerical experiments to distinguish between child and adult speakers using HMMs trained on 2,360 speech samples collected through a web-based query interface, and we compared the performance of… CONTINUE READING