A comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an Automatic Bird Species Recognition System.
Ángel David Pedroza RamírezJosé Ismael de la Rosa VargasRogelio Rosas ValdezAldonso BecerraPublished in: LA-CCI (2018)
Keyphrases
- mel frequency cepstral coefficients
- speaker recognition
- speaker identification
- feature set
- feature vectors
- gaussian mixture model
- speech signal
- spectral features
- acoustic features
- linear predictive
- principal component analysis
- extracting features
- feature extraction
- speech recognition
- speaker diarization
- audio features
- speaker verification
- bird species
- cepstral coefficients
- vector quantization
- probabilistic neural network
- remote sensing images
- feature selection
- pattern recognition
- bayesian information criterion
- multi modal
- automatic speech recognition
- em algorithm
- mixture model
- spectral analysis
- image features
- low level
- noisy environments
- structural features
- audio visual
- semantic information