TY - JOUR
T1 - Plosive spotting with margin classifiers
AU - Keshet, Joseph
AU - Chazan, Dan
AU - Bobrovsky, Ben Zion
PY - 2001/1/1
Y1 - 2001/1/1
N2 - This paper presents a novel algorithm for precise spotting of plosives. The algorithm is based on a pattern matching technique implemented with margin classifiers, such as support vector machines (SVM). A special hierarchical treatment to overcome the problem of fricative and false silence detection is presented. It uses the loss-based multi-class decisions. Furthermore, a method for smoothing the overall decisions by sequential linear programming is described. The proposed algorithm was tested on the TIMIT corpus, which produced a very high spotting accuracy. The algorithm presented here is applied to plosives detection, but can easily be adapted to any class of phonemes.
AB - This paper presents a novel algorithm for precise spotting of plosives. The algorithm is based on a pattern matching technique implemented with margin classifiers, such as support vector machines (SVM). A special hierarchical treatment to overcome the problem of fricative and false silence detection is presented. It uses the loss-based multi-class decisions. Furthermore, a method for smoothing the overall decisions by sequential linear programming is described. The proposed algorithm was tested on the TIMIT corpus, which produced a very high spotting accuracy. The algorithm presented here is applied to plosives detection, but can easily be adapted to any class of phonemes.
UR - http://www.scopus.com/inward/record.url?scp=77956729133&partnerID=8YFLogxK
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JO - EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology
JF - EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology
ER -