Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics
Unsupervised spoken term discovery (UTD) aims at finding recurring segments of speech from a corpus of acoustic speech data.One potential approach to this problem is to use dynamic time warping (DTW) to find well-aligning patterns from the speech data.However, automatic selection of initial candidate segments for the DTW-alignment and detection …