Using cepstral coefficients for Inhalation pause detection in spontaneous speech
Author
Editor
- G. Kokkinakis
- N. Fakotakis
- E. Dermatas
- R. Potapova
Summary, in English
A method for recognizing inhalations in spontaneous speech is presented. It is similar to the template matching technique; a distance measure is calculated between a reference sound and an equally long portion of the same sound being tracked. A feature representation consisting of the standard Mel Frequency Cepstral Coefficients (MFCC), obtained by performing a discrete Cosine Transform of the mel-scaled filterbank spectrum is used. MFCC's are calculated every 5 ms. The comparison is then done by computing the euclidian distance between the cepstral coefficients of each frame of the two sounds. A low distance value means that the two compared inhalations are likely to be similar. The method can detect inhalations in both male and female spontaneous speech. The method is most suited for signals with low noise and high average intensity (studio recording) but can also be used on noisier recordings with lower average intensity, albeit with poorer results.
Department/s
Publishing year
2005
Language
English
Pages
143-146
Publication/Series
Proceedings of SPECOM 2005
Volume
1
Full text
- Available as PDF - 1015 kB
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Document type
Conference paper
Publisher
University of Patras
Topic
- General Language Studies and Linguistics
Keywords
- breathing pauses
- inhalations
- inhalation pause
- cepstral coefficient
- pause
- spontaneous speech
Conference name
SPECOM 2005
Conference date
0001-01-02
Conference place
Patras, Greece
Status
Published
Project
- The role of function words in spontaneous speech processing
ISBN/ISSN/Other
- ISBN: 5-7452-0110-x