Task #3699
closedTask #3680: RA4a - Automatic error prediction
Task #3698: Experiment with one-class clasification for join cost enhancements
Compute features (MFCC, LPC, LPCenv and FFTpow)
100%
Description
- pitch-asynchronous/pitch-synchronous MFCC
- pitch-asynchronous/pitch-synchronous LPC
- pitch-asynchronous/pitch-synchronous FFT power
For pitch-synchronous parameterization use static window size to avoid zeros in FFT. Storem them in ASF files (like candsel features used now).
Updated by Tihelka Dan over 8 years ago
- % Done changed from 0 to 10
Features computed (not all yet, though, just those following the paper, i.e. 20-20 (20msec windows, 20msec shift) MFCC, LPC and FFTpow). The next step is to compute distance vectors.
Updated by Matoušek Jindřich over 8 years ago
- Target version set to RA4: Automatic error prediction and signal modification
Updated by Tihelka Dan about 8 years ago
- Status changed from Assigned to Resolved
- % Done changed from 10 to 100
Distances computed. Starting to experiment with one-class-classifier.
Updated by Tihelka Dan about 8 years ago
More details about the whole experiment described in Interspeech 2016 paper, see #3809.
Updated by Tihelka Dan about 8 years ago
Another set of features computed: 04-20 (20msec windows, 4msec shift), MFCC, LPC, LPCenv and FFTpow. Also distances are going to be computed and the performance of classifiers compared.
Updated by Tihelka Dan about 8 years ago
- 20-20 (20msec windows, 20msec shift)
- 04-25 (25msec windows, 4msec shift)
- 12-25 (25msec windows, 12msec shift)
- pm-25 (25msec windows, pitch-synchronous shift)
were submitted to SpeCom 2016 conference (http://specom.nw.ru/).
Results are mixed, we need to focus on error analysis now.
Updated by Tihelka Dan about 8 years ago
- Subject changed from Compute features to Compute features (MFCC, LPC, LPCenv and FFTpow)