Robust features for applications in speech and speaker recognition

B. Yegnanarayana, A. S. Madhukumar, V. R. Ramachandran

This paper proposes the use of robust suprasegmental features for word boundary hypothesization in a speech to text system for Hindi and for a speaker identification system under clean as well as adverse speech input conditions. The features are derived from pitch accent patterns in Hindi.

Cite as: Yegnanarayana, B., Madhukumar, A.S., Ramachandran, V.R. (1992) Robust features for applications in speech and speaker recognition. Proc. ETRW on Speech Processing in Adverse Conditions, 97-101

@inproceedings{yegnanarayana92_spac,
  author={B. Yegnanarayana and A. S. Madhukumar and V. R. Ramachandran},
  title={{Robust features for applications in speech and speaker recognition}},
  year=1992,
  booktitle={Proc. ETRW on Speech Processing in Adverse Conditions},
  pages={97--101}
}