Speech/Pause Segmentation Method Based on Teager Energy Operator and Short-Time Energy Analysis
Алимурадов Алан Казанферович · 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) · 2021
The article presents a method for speech/pause segmentation based on energy analysis of speech signal fragments using the Teager Energy Operator and Short-Time Energy. The nature of segmentation is a linear division of a speech signal into fragments, calculation of energy characteristic of fragments using the Teager Energy Operator, calculation of Short-Time Energy values for fragments of energy characteristic, and determining `speech/pause' state of fragments based on the calculated threshold values of Short-Time Energy. The research on the proposed method was carried out, and the effectiveness of speech/pause segmentation was assessed in comparison with the method based on energy analysis using Short-Time Energy. In accordance with the obtained research results, it was concluded that due to the good susceptibility of the Teager Energy Operator to changes in signal amplitude and frequency, the proposed method provides the increased efficiency of speech/pause segmentation by 5.26 % and 5.51 % for the first and second kind errors, respectively. The proposed speech/pause segmentation method can be used for signal processing in real-time speech applications.