10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Identification and Automatic Detection of Parasitic Speech Sounds

Jindřich Matoušek (1), Radek Skarnitzl (2), Pavel Machač (2), Jan Trmal (1)

(1) University of West Bohemia in Pilsen, Czech Republic
(2) Charles University in Prague, Czech Republic

This paper presents initial experiments with the identification and automatic detection of parasitic sounds in speech signals. The main goal of this study is to identify such sounds in the source recordings for unit-selection-based speech synthesis systems and thus to avoid their unintended usage in synthesised speech. The first part of the paper describes the phonetic analysis and identification of parasitic phenomena in recordings of two Czech speakers. In the second part, experiments with the automatic detection of parasitic sounds using HMM-based and BVM classifiers are presented. The results are encouraging, especially those for glottalization phenomena.

Full Paper

Bibliographic reference.  Matoušek, Jindřich / Skarnitzl, Radek / Machač, Pavel / Trmal, Jan (2009): "Identification and automatic detection of parasitic speech sounds", In INTERSPEECH-2009, 876-879.