A method for extracting keyphrase from spoken audio is discussed. The approach is based on the extractor system developed for text by Turney. The extractor uses a supervised learning approach to maximize the overlap between machine extracted and human extracted keyphrases. Each key word is detected with low similarity to its closest semantic neighbor, using an algorithm.
Date de publication
Canadian Acoustical Association
Canadian Acoustics: Journal of the Canadian Acoustical Association32, nº 3 (1 septembre 2004) : 130–131.