An Auditory Model Based Transcriber of Vocal Queries
نویسندگان
چکیده
In this paper a new auditory model-based transcriber of vocal melodic queries is presented. Our experiments show that the new system can transcribe queries with an accuracy between 76 % (whistling) and 85 % (singing with syllables), and that it outperforms four state-of-the-art systems it was compared with.
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