8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

DWT-Based Classification of Acoustic-Phonetic Classes and Phonetic Units

Gernot Kubin, Van Tuan Pham

University of Technology, Graz, Austria

In this paper, we describe a new algorithm based on the discrete wavelet transform (DWT) which uses a multi-threshold decision model (MTD model) to detect acoustic and phonetic classes (based on 10ms speech signal segments). The best thresholds of the model are found by using experimental pattern classification. Then a unit level interpolation technique is combined with the MTD model to classify phonetic units (based on sequences of 10ms segments). The results of the classifiers are compared and jointly adjusted by an interactive scheme (IS) in order to improve the performance of the algorithm. The algorithm is tested with the TIMIT database and compared with the SUB-CRA-based algorithm and other algorithms to demonstrate its effectiveness.

Full Paper

Bibliographic reference.  Kubin, Gernot / Pham, Van Tuan (2004): "DWT-based classification of acoustic-phonetic classes and phonetic units", In INTERSPEECH-2004, 985-988.