Analysis and Visualization of Prosodic Information
نویسنده
چکیده
This dissertation uses machine learning and visualization techniques to explore computational problems in tone and intonation. We quantify the lexical importance of tones in a language, recognize tones in a tonal language, and use intonational patterns to help recognize the meanings of parts of conversations. The recognition problems will be implemented in a modular manner so that features based on different representations and measurements of intonation, such as pitch detection and interpolation algorithms, can be tested.
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تاریخ انتشار 2005