Optimizing feature extraction for speech recognition

Autor: Euisun Choi, Donghoon Hyun, Jinwook Go, Chulhee Lee, Chungyong Lee

Publikováno v: IEEE Transactions on Speech and Audio Processing. 11:80-87

We propose a method to minimize the loss of information during the feature extraction stage in speech recognition by optimizing the parameters of the mel-cepstrum transformation, a transform which is widely used in speech recognition. Typically, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::df827234a5a5d09036a627d881c1625d
https://doi.org/10.1109/tsa.2002.805644

Optimizing feature extraction for English word recognition

Autor: Euisun Choi, Chulhee Lee, Donghoon Hyun

Publikováno v: ICASSP

In this paper, we investigate the possibility to improve the recognition accuracy of English words by optimizing feature extraction. The optimization method is based on the simplex algorithm. Although the mel-cepstrum obtained by the critical band fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a60c719cf52a9d14bb724c5dae26f46
https://doi.org/10.1109/icassp.2002.1005864

Optimization of mel-cepstrum for speech recognition.

Autor: Donghoon Hyun, Chulhee Lee

Publikováno v: IEEE SMC'99 Conference Proceedings 1999 IEEE International Conference on Systems, Man & Cybernetics (Cat No99CH37028); 1999, Issue 1, p500-500, 1p