Automatic language recognition using acoustic features
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 813-816 vol.2
- https://doi.org/10.1109/icassp.1991.150461
Abstract
Two language recognition algorithms are proposed and some experimental results are described. While many studies have been done concerning the speech recognition problem, few studies have addressed the language recognition task. The speech data used contains 20 languages: 16 sentences uttered twice by 4 males and 4 females. The duration of each sentence is about 8 seconds. The first algorithm is based on the standard vector quantization (VQ) technique. Every language is characterized by its own VQ codebook. The second algorithm is based on a single universal (common) VQ codebook for all languages, and its occurrence probability histograms. Every language is characterized by a histogram. The experiment results show that the recognition rates for the first and second algorithms were 65% and 80%, respectively, each using just 8 sentences of unknown speech (about 64 seconds).Keywords
This publication has 11 references indexed in Scilit:
- A weighted cepstral distance measure for speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Language identification using noisy speechPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Improved automatic language identification in noisy speechPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Language identification with neural networks: a feasibility studyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Speaker identification based on frequency distribution of vector‐quantized spectraSystems and Computers in Japan, 1988
- LPC peak weighted spectral matching measuresElectronics and Communications in Japan (Part I: Communications), 1981
- Toward automatic identification of the language of an utterance. I. Preliminary methodological considerationsThe Journal of the Acoustical Society of America, 1977
- Distance measures for speech processingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1976
- Linear Prediction of SpeechPublished by Springer Nature ,1976
- Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verificationThe Journal of the Acoustical Society of America, 1974