Can I read An Unsupervised Voice Activity Detection Using Time-Frequency Features on EtoBox?

An Unsupervised Voice Activity Detection Using Time-Frequency Features by Hind Ait Mait; Noureddine Aboutabit is a book available to read on EtoBox.

What is An Unsupervised Voice Activity Detection Using Time-Frequency Features about?

Voice Activity Detection (VAD) is a binary classification problem for separating speech segments from background silence or noise. Over time, many features for the VAD have been proposed. In our study, we applied two features: Short Time Energy (STE) and Spectral Centroid, which belong to temporal and frequency domains, respectively. The goal of applying this VAD method is to use the speech segment extracted as an input of a phonetic segmentation method of Arabic and Moroccan dialect speech signals. We evaluated the method on 400 sentences from the Arabphone corpus recorded in noisy and noiseless environments. The results showed promising accuracy of 85%, which is comparable to some other previously proposed methods. ## Keywords: Arabic speech • voiced segment • unvoiced segment • STE • Spectral Centroid • Accuracy Supported by LIPIM.

Author

Hind Ait Mait; Noureddine Aboutabit

Publisher

Springer International Publishing AG

Published

2023

Language

EN

ISBN

9783031293139

Subjects

Engineering, Stem