Search
Abstract
This paper presents a new approach to elimination of impulsivedisturbances from archive speech signals. The proposedsparse autoregressive (SAR) signal representation is given ina factorized form - the model is a cascade of the so-called formantfilter and pitch filter. Such a technique has been widelyused in code-excited linear prediction (CELP) systems, as itguarantees model stability. After detection of noise pulses usinglinear prediction, the factorized model is converted intoa generic sparse form in order to perform a projection-basedsignal interpolation. It is shown that the proposed algorithmis able to deal favorably with speech signals with strong glottalactivity, which is a serious problem for algorithms basedon the classical AR modeling.
Authors (2)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- The 20th European Signal Processing Conference EUSIPCO 2012, Bukarest, 27-31 August 2012
- Language:
- English
- Publication year:
- 2012
- Bibliographic description:
- Niedźwiecki M., Ciołek M..: Elimination of clicks from archive speech signals using sparse autoregressive modeling, W: The 20th European Signal Processing Conference EUSIPCO 2012, Bukarest, 27-31 August 2012, 2012, ,.
- Verified by:
- Gdańsk University of Technology
seen 69 times
Recommended for you
Applying the Lombard Effect to Speech-in-Noise Communication
- G. Korvel,
- K. Kąkol,
- P. Treigys
- + 1 authors