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My system uses an interactive genetic algorithm to learn a user's criteria for the task of generating musical rhythms. Interactive genetic algorithms (Smith 91) are well suited to solving this problem because they allow for a user to simply execute fitness functions (that is, to choose which rhythms or features of rhythms he likes), without necessarily(More)
We describe Aardvark, a social search engine. With Aardvark, users ask a question, either by instant message, e-mail, Web input, text message, or voice. Aardvark then routes the question to the person in the user's extended social network most likely to be able to answer that question. As compared to a traditional Web search engine, where the challenge lies(More)
Voice entry has been successfully employed to generate radiology reports with a word recognizer with a 1,000-word lexicon capacity. About 50% of reports were able to be dictated with a single 900-word lexicon. This was split into five sections by anatomic or subspecialty application. Each was augmented to 900 words. By switching from one lexicon to another,(More)
The evaluation of the degree of speech impairment and the utility of computer recognition of impaired speech are separately and independently performed. Particular attention is paid to the question concerning whether or not there is a relationship between naive listeners' subjective judgements of impaired speech and the performance of a laboratory version(More)
This thesis presents an approach to building more intelligent computer music systems. Motivated by the shortcomings of previous systems, I maintain that an enumeration and quantification of musical common sense concepts is necessary for the construction of musically intelligent systems. Demonstrating this approach, a computer system for analyzing and(More)
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