Experiments in Whispered Speech Recognition Based on Wavelet Transformation
Univerzitet u Kragujevcu - Fakultet tehničkih nauka Čačak, Branko Marković, Đorđe Damnjanović, Univerzitet u Kragujevcu - Fakultet tehničkih nauka Čačak · 2024
In this paper the results of normal and whispered speech recognition based on DWT (Discrete Wavelet Transformation) are presented. The feature vectors are obtained based on Daubechies sub-band energy. The experiments are performed using a part of the Whi-Spe database (one female and one male speaker). A back-end of the ASR system is based on DTW (Dynamic Time Warping) algorithm. The following scenarios are analyzed: normal/normal, whisper/whisper, normal/whisper and whisper/normal in the speaker dependent mode. The results confirmed the usefulness of Wavelet transformation in speech recognition.