Mercurial > hg > audio-features-catalogue
view fcadata/Vamp.cxt @ 2:c314ed54a13b
added fca data files
| author | nothing@tehis.net |
|---|---|
| date | Tue, 26 Feb 2013 14:19:21 +0000 |
| parents | |
| children | 8bd8453e0551 |
line wrap: on
line source
B 122 40 Adaptive Spectrogram Autocorrelation Average Deviation Average Magnitude Difference Function Average Squared Difference Function Bar and Beat Tracker Bark Coefficients Bars (Bar and Beat Tracker) Bass Chromagram (NNLS Chroma) Beat Count (Bar and Beat Tracker) Beat Spectra (Similarity) Beat Spectral Difference (Bar and Beat Tracker) Beats (Bar and Beat Tracker) Beats (Tempo and Beat Tracker) Chord Estimate (Chordino) Chordino Chroma Means (Chromagram) Chromagram Chromagram (NNLS Chroma) Chromagram and Bass Chromagram (NNLS Chroma) Coefficients (Mel-Frequency Cepstral Coefficients) Constant-Q Spectrogram Discrete Cosine Transform Discrete Wavelet Transform Distance Matrix (Similarity) Distance from First Channel (Similarity) Feature Means (Similarity) Feature Variances (Similarity) Fundamental Frequency Fundamental Frequency (failsafe) HPCP Harmonic Change Value (Chordino) Harmonic Spectrum Highest Value IBT - INESC Beat Tracker Inharmonicity Irregularity I Irregularity II Key (Key Detector) Key Detector Key Mode (Key Detector) Key Strength Plot (Key Detector) Kurtosis LinearPredictionCepstralCoefficients Local Tuning (Tuning) Log-Frequency Spectrum (NNLS Chroma) Log-Likelihood of Chord Estimate (Chordino) Loudness Lowest Value MELODIA - Melody Extraction MELODIA - Melody Extraction (intermediate steps) Marsyas - Batch Feature Extract - Centroid Marsyas - Batch Feature Extract - Line Spectral Pairs Marsyas - Batch Feature Extract - Linear Prediction Cepstral Coefficients Marsyas - Batch Feature Extract - Mel-Frequency Cepstral Coefficients Marsyas - Batch Feature Extract - Spectral Crest Factor Marsyas - Batch Feature Extract - Spectral Flatness Measure Marsyas - Batch Feature Extract - Spectral Rolloff Marsyas - Batch Feature Extract - Zero Crossings Mean Means of Coefficients (Mel-Frequency Cepstral Coefficients) Mel-Frequency Cepstral Coefficients MelscaleFrequencyCepstralCoefficients NNLS Chroma Noisiness Non-zero count Note Onset Detector Note Onsets (Note Onset Detector) Note Representation of Chord Estimate (Chordino) Odd/even Harmonic Ratio Onset Detection Function (Note Onset Detector) Onset Detection Function (Tempo and Beat Tracker) Ordered Distances from First Channel (Similarity) Peak Spectrum Pitch Contours: All (MELODIA - Melody Extraction (intermediate steps)) Pitch Contours: Melody (MELODIA - Melody Extraction (intermediate steps)) Polyphonic Transcription RMS Amplitude Salience Function (MELODIA - Melody Extraction (intermediate steps)) Segmenter Semitone Spectrum (NNLS Chroma) Similarity Skewness Smoothed Detection Function (Note Onset Detector) Spectral Average Deviation Spectral Centroid Spectral Crest Measure Spectral Flatness Spectral Kurtosis Spectral Rolloff Spectral Sharpness Spectral Skewness Spectral Slope Spectral Smoothness Spectral Spread Spectral Standard Deviation Spectral Variance SpectralCentroid SpectralCrest SpectralFlatness SpectralRolloff SpectralSlope Spectrum Standard Deviation Sum of Values Tempo (Tempo and Beat Tracker) Tempo and Beat Tracker Tonal Change Tonal Change Detection Function (Tonal Change) Tonal Change Positions (Tonal Change) Tonality Tonic Pitch (Key Detector) Transform to 6D Tonal Content Space (Tonal Change) Tristimulus I Tristimulus II Tristimulus III Tuned Log-Frequency Spectrum (NNLS Chroma) Tuning Variance Zero Crossing Rate Zero Crossings ZeroCrossingRate appdomain-fingerprinting appdomain-music information retrieval appdomain-several appdomain-speech recognition complexity-high complexity-low complexity-medium computation-Autocorrelation computation-Autoregression (Linear Prediction Analysis) computation-Band-pass Filter (Bank) computation-Cepstral Recursion Formula computation-Discrete Cosine Transform computation-Discrete Fourier Transform computation-Logarithm computation-Mean computation-Median computation-Peak Detection computation-Polynomial Root Finding computation-Regression computation-Root Mean Square computation-Spectral binning computation-Sum, Weighted Sum computation-Windowing computation-Zero-/Level Crossing Detector dimensions-1 dimensions-12 dimensions-4 dimensions-parameterized domain-cepstral domain-frequency domain-temporal domain-time level-perceptual level-physical tag-Audio tag-Pitch tag-Spectral tag-Timbre tag-Tonality temporalscale-intraframe ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ .............................X.......... ........................................ .X....X.....XX.....X..X..X...X..X.....XX ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ .X....XX.......X......XXX....X..X..X...X ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ...X..X.XXX...........X....XX..X.X.....X ........................................ ........................................ ........................................ .............................X.......... ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ .............................X....X..... ........................................ ........................................ ..X.X......XXX....X...X....XXX.X.X..XX.X ........................................ .............................X.......... ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ...............................X........ ........................................ ...............................X........ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ..X..X......XXX...X...X.X....X.XX...X..X X....X......XXX...X..XX....X.X..X......X X.....X.....XXX...X...X....X.X.XX...X..X ..X..X......X....X....X.X....X.XX...XX.X ..X..X......X...X.....X...X..X...X..X..X ...............................X........ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ .............................X.......... ........................................ ........................................ ........................................ ........................................ ........................................ ........................................ .............................X.......... .............................X....X..... ........................................ ........................................ ..X..X..............X.X.X.....XX.XX..X.X