Some experiments in discrete utterance recognition
- 24 March 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
This paper is concerned with the following three aspects of the discrete utterance recognition problem: utterance normalization, dynamic programming algorithm implementation, and boundary error effects. Performance sensitivity as a function of each aspect of the problem is comparatively studied utilizing several available alternatives and significant conclusions are drawn regarding each of them. The concept of proportional normalizing is introduced as an effective method of handling the utterance normalization problem. A database consisting of the utterances of the alpha-digit vocabulary produced by several male and female speakers is used to conduct all the experiments.Keywords
This publication has 6 references indexed in Scilit:
- Considerations in dynamic time warping algorithms for discrete word recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
- Memory and time improvements in a dynamic programming algorithm for matching speech patternsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
- Dynamic programming algorithm optimization for spoken word recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
- Speech recognition experiments with linear predication, bandpass filtering, and dynamic programmingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1976
- Minimum prediction residual principle applied to speech recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1975
- Some experiments with a simple word recognition systemIEEE Transactions on Audio and Electroacoustics, 1968