Speech Prosody 2010
Chicago, IL, USA
In order to improve speech naturalness of a unit selection TTS system it is necessary to annotate prosodic phrase boundaries in the whole source corpus, which is extremely difficult to achieve manually. It is thus usefull to employ a machine classifier. This paper discusses suitable feature selection for such classification of a Czech TTS corpus, presents results of experiments with linear and quadratic classifiers and artificial neural networks, and compares them with human annotators.
Index Terms: speech synthesis, prosody, prosodic phrase, classification, neural network, unit selection, corpus
Bibliographic reference. Romportl, Jan (2010): "Automatic prosodic phrase annotation in a corpus for speech synthesis", In SP-2010, paper 892.