Abstract
This paper proposes a text-independent sequential phone boundary detection algorithm. Without any previous knowledge, an automatic phone segmentation system can be constructed. The method is to search for a candidate phone boundary and then follow by a verification process. The phone segmentation is accomplished when the phone boundaries are verified. The wavelet parameters are calculated in a frame of variable frame length for searching for the candidate phone boundaries. The Bayesian information criterion corrected (BICC) and normalized spectral variation function (SVF) are applied for verifying the phone boundaries. To evaluate this proposed algorithm, the experiment was conducted on TIMIT corpus. The performance of phone segmentation was measured in F-value. In the condition of 20-ms tolerance, the average F-value of 640 test utterances is 72%. Among them, 422utterances get the F-value larger than 70%.