@inproceedings{d8ba05c65247470dad1ffa03a2d384f8,
title = "A novel approach to speech segmentation using the wavelet transform",
abstract = "This paper presents a novel approach to segmenting speech using the wavelet transform. The wavelet transform produces a flexible decomposition of signals in both time domain and frequency domains which is useful in segmenting parts of speech containing fast varying changes, like stops, as well as slow varying ones, like vowels. Results using six wavelet parameters are found to be comparable to those obtained using sixteen mel-scale spectrum coefficients.",
author = "Ahmed Alani and Mohamed Deriche",
year = "1999",
doi = "10.1109/ISSPA.1999.818129",
language = "English",
isbn = "1864354518",
series = "ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications",
publisher = "IEEE Computer Society",
pages = "127--130",
booktitle = "ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications",
address = "United States",
note = "5th International Symposium on Signal Processing and Its Applications, ISSPA 1999 ; Conference date: 22-08-1999 Through 25-08-1999",
}