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It is the key to improve the natural degree of speech synthesis and reduce the error rate of speech recognition that analyzes the information structure and prosodic structure of sentence and chapters. Based on large speech corpus (ASCCD) with prosodic structure label, we measured the characteristics of duration and pitch on prosodic phrase. The statistical results on duration and pitch are presented...
In this paper, harmonics template was proposed to analyze harmonics in co-channel speech. New feature first-peak position of autocorrelation was exploited when we generated and utilized harmonics template. We gain harmonics template by statistics and curve fitting. For co-channel speech, harmonics from different channels were achieved by applying frequency channel piecewise continuity and matching...
In this paper, a novel adaptive step decoding method using steady-energy pieces (SEPs) is explored in segment model (SM) based LVCSR system. Using speech analysis methods and statistical classification tools, the start and end points of SEPs are detected firstly. In SM decoding stage, frame-by-frame decoding for segments which start or end in SEPs are overleaped, replaced by SEP-based decoding. In...
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