A partitioned neural network approach for vowel classification using smoothed time/frequency features

@article{Zahorian1993APN,
  title={A partitioned neural network approach for vowel classification using smoothed time/frequency features},
  author={Stephen A. Zahorian and Zaki B. Nossair and Claude A. Norton},
  journal={IEEE Trans. Speech and Audio Processing},
  year={1993},
  volume={7},
  pages={414-425}
}
A novel pattern classification technique and a new feature extraction method are described and tested for vowel classification. The pattern classification technique partitions an N-way classification task into N*(N-1)/2 two-way classification tasks. Each two-way classification task is performed using a neural network classifier that is trained to discriminate the two members of one pair of categories. Multiple two-way classification decisions are then combined to form an N-way decision. Some of… CONTINUE READING
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An application of recurrent nets to phone probability estimation

  • A. J. Robinson
  • IEEE Trans. on Neural Networks, vol. 5, no. 2, pp…
  • 1994
3 Excerpts

A segmental speech model with applications to word spotting

  • H. Gish, K. Ng
  • Proc. ICASSP-93, pp. II-447-II- 450, 1993.
  • 1993

Text-independent speaker identification using binary-pair partitioned neural networks

  • L. Rudasi, S. A. Zahorian
  • Proc. IJCNN-92, pp. IV: 679-684, 1992.
  • 1992
1 Excerpt

Acoustic-phonetic transformations for improved speakerindependent isolated word recognition

  • S. A. Zahorian, D. Qian, A. J. Jagharghi
  • Proc. ICASSP-91, pp. 561-564, 1991.
  • 1991
1 Excerpt

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