Detection of Glottal Closure Instants in Degraded Speech Using Single Frequency Filtering Analysis

Gunnam Aneeja, Sudarsana Reddy Kadiri and Bayya Yegnanarayana

Abstract:

Impulse-like characteristics of excitation occur at the glottal closure instant (GCI) due to sharp closure of the vibrating vocal folds in each glottal cycle. The GCIs are detected from the excitation component of the speech signal and the excitation component is derived using inverse filtering or its variants. In this paper we propose a method for GCI detection based on single frequency filtering (SFF) of the speech signal. The SFF output has high signal-to-noise ratio (SNR) property in speech regions. The variance (across frequency) contour computed from the SFF output show rapid changes around the GCIs and these rapid changes can be observed even when the speech signal is degraded. Thus the GCI locations can be extracted even from degraded speech using the SFF analysis. The robustness of the method is demonstrated for several cases of degradation of speech signal.

---

Cite as: Aneeja, G., Kadiri, S.R., Yegnanarayana, B. (2018) Detection of Glottal Closure Instants in Degraded Speech Using Single Frequency Filtering Analysis. Proc. Interspeech 2018, 2300-2304, DOI: 10.21437/Interspeech.2018-1018.

---

BiBTeX Entry:

@inproceedings{Aneeja2018,
author={Gunnam Aneeja and Sudarsana Reddy Kadiri and Bayya Yegnanarayana},
title={Detection of Glottal Closure Instants in Degraded Speech Using Single Frequency Filtering Analysis},
year=2018,
booktitle={Proc. Interspeech 2018},
pages={2300--2304},
doi={10.21437/Interspeech.2018-1018},
url={http://dx.doi.org/10.21437/Interspeech.2018-1018} }