Tools
ToolsDarch, Jonathan, Milner, Ben, Shao, Xu, Vaseghi, Saeed and Yan, Qin (2005) Predicting formant frequencies from MFCC vectors. In: IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2005-03-18 - 2005-03-23.
Full text not available from this repository. (Request a copy)Abstract
This work proposes a novel method of predicting formant frequencies from a stream of mel-frequency cepstral coefficients (MFCC) feature vectors. Prediction is based on modelling the joint density of MFCCs and formant frequencies using a Gaussian mixture model (GMM). Using this GMM and an input MFCC vector, two maximum a posteriori (MAP) prediction methods are developed. The first method predicts formants from the closest, in some sense, cluster to the input MFCC vector, while the second method takes a weighted contribution of formants predicted from all clusters. Experimental results are presented using the ETSI Aurora connected digit database and show that predicted formant frequencies are within 3.2% of reference formant frequencies.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Smart Emerging Technologies |
| Depositing User: | Vishal Gautam |
| Date Deposited: | 14 Jun 2011 11:25 |
| Last Modified: | 22 Apr 2023 02:46 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/22474 |
| DOI: | 10.1109/ICASSP.2005.1415270 |
Actions (login required)
 |
View Item |