An automatic language identification system
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 817-820 vol.2
- https://doi.org/10.1109/icassp.1991.150462
Abstract
An automatic language identification system which makes use of several language specific features is described. The system concurrently utilizes features associated with two methodologies, the hidden Markov model, (HMM) and language-specific pitch contours. Experimental results show that transition probabilities and pitch contours show differences between the languages. However, each of the described criteria will not give in every case a definitive answer, but will lead in the correct direction. Therefore, a voting classifier should be used to combine the results from each of the criteria.Keywords
This publication has 1 reference indexed in Scilit:
- Speech coding based upon vector quantizationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980