Designing Optimal Phoneme-Wise Fuzzy Cluster Analysis

Avdelidis K, Dimoulas C, Kalliris G, Papanikolaou G. Designing Optimal Phoneme-Wise Fuzzy Cluster Analysis. In: AES Convention 128. Audio Engineering Society; 2010. Paper 8137. Available from: https://aes.org/publications/elibrary-page/?id=15434

@inproceedings{Avdelidis2010_15434,
  author = {Avdelidis, Konstantinos and Dimoulas, Charalampos and Kalliris, George and Papanikolaou, George},
  title = {{Designing Optimal Phoneme-Wise Fuzzy Cluster Analysis}},
  booktitle = {AES Convention 128},
  note = {Paper 8137},
  year = {2010},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15434}
}

TY  - CPAPER
TI  - Designing Optimal Phoneme-Wise Fuzzy Cluster Analysis
AU  - Avdelidis, Konstantinos
AU  - Dimoulas, Charalampos
AU  - Kalliris, George
AU  - Papanikolaou, George
T2  - AES Convention 128
M1  - Paper 8137
PY  - 2010
DA  - 2010/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15434
PB  - Audio Engineering Society
LA  - en
AB  - A large number of pattern classification algorithms and methodologies have been proposed for the phoneme recognition task during the last decades. The current paper presents a prototype distance-based fuzzy classifier, optimized for the needs of phoneme recognition. This is accomplished by the specially designed objective function and a respective training strategy. Particularly, each phonemic class is represented by a number of arbitrary-shaped clusters which adaptively match the corresponding features space distribution. The formulation of the approach is capable of delivering a variety of related conclusions based on fuzzy logic arithmetic. An overview of the inference capability is presented in combination with performance results for the Greek language.
ER  -