1 research outputs found
VOP Detection for Read and Conversation Speech using CWT Coefficients and Phone Boundaries
In this paper, we propose a novel approach for accurate detection of the
vowel onset points (VOPs). VOP is the instant at which the vowel begins in the
speech signal. Precise identification of VOPs is important for various speech
applications such as speech segmentation and speech rate modification. The
existing methods detect the majority of VOPs within 40 ms deviation, and it may
not be appropriate for the above speech applications. To address this issue, we
proposed a two-stage approach for accurate detection of VOPs. At the first
stage, VOPs are detected using continuous wavelet transform coefficients, and
the position of the detected VOPs are corrected using the phone boundaries in
the second stage. The phone boundaries are detected by the spectral transition
measure method. Experiments are done using TIMIT and Bengali speech corpora.
Performance of the proposed approach is compared with two standard signal
processing based methods. The evaluation results show that the proposed method
performs better than the existing methods.Comment: 21 pages, 8 figures, 4 tables, articl