A novel filterbank for epoch estimation. Bachhav, P. & Fatil, H. A. In 2017 25th European Signal Processing Conference (EUSIPCO), pages 1624-1628, Aug, 2017.
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Paper doi abstract bibtex
Paper doi abstract bibtex We present a novel approach for epoch estimation from the simple observation of the speech spectrum. Fundamental frequency (F0) of the speech signal and local variations around F0 are the characteristics of glottal excitation source. Extraction of this information from the speech spectrum can be used to estimate epochs (since higher harmonics interact with the vocal tract characteristics, they no longer represent the true glottal source). In this paper, we bandpass filter the speech signal through a novel Gaussian filterbank followed by simple peak detection to extract epochs. We do not attempt any post processing to study the effectiveness of F0 on epoch estimation in the proposed method. The algorithm is validated on various databases and compared with four state-of-the-art methods. The method has shown better or comparable results on the clean speech and found to be highly robust to the additive white noise giving highest IDR at various SNR levels.
@InProceedings{8081484,
author = {P. Bachhav and H. A. Fatil},
booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
title = {A novel filterbank for epoch estimation},
year = {2017},
pages = {1624-1628},
abstract = {We present a novel approach for epoch estimation from the simple observation of the speech spectrum. Fundamental frequency (F0) of the speech signal and local variations around F0 are the characteristics of glottal excitation source. Extraction of this information from the speech spectrum can be used to estimate epochs (since higher harmonics interact with the vocal tract characteristics, they no longer represent the true glottal source). In this paper, we bandpass filter the speech signal through a novel Gaussian filterbank followed by simple peak detection to extract epochs. We do not attempt any post processing to study the effectiveness of F0 on epoch estimation in the proposed method. The algorithm is validated on various databases and compared with four state-of-the-art methods. The method has shown better or comparable results on the clean speech and found to be highly robust to the additive white noise giving highest IDR at various SNR levels.},
keywords = {channel bank filters;Gaussian processes;speech processing;white noise;epoch estimation;clean speech;speech spectrum;speech signal;vocal tract characteristics;glottal source;Speech;Estimation;Filter banks;Harmonic analysis;Power harmonic filters;Databases;Glottal closure instant (GCI);epoch;fundamental frequency(F0);spectrum},
doi = {10.23919/EUSIPCO.2017.8081484},
issn = {2076-1465},
month = {Aug},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570341646.pdf},
}Downloads: 0
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