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If you want to start right away, you can download readily compiled binaries for Windows and Mac OSX (Intel) (see here). Then just use them in a host such as Sonic Visualiser or Audacity, which are also open source.

A video of the installation on a Mac is available here.

The methods used in the library were developed by Matthias Mauch, supported by the EPSRC-funded OMRAS2 Project. Implementation by Matthias Mauch and Chris Cannam.

The plugins are described below, starting with the most comprehensive first.

### NNLS Chroma

System identifier – vamp:nnls-chroma:nnls-chroma

RDF URI – http://vamp-plugins.org/rdf/plugins/nnls-chroma#nnls-chroma

#### General Description

NNLS Chroma analyses a single channel of audio using frame-wise spectral input from the Vamp host. The plugin was originally developed to extract treble and bass chromagrams for subsequent use in chord extraction methods. The spectrum is transformed to a log-frequency spectrum (constant-Q) with three bins per semitone. On this representation, two processing steps are performed:

* tuning, after which each centre bin (i.e. bin 2, 5, 8, …) corresponds to a semitone, even if the tuning of the piece deviates from 440 Hz standard pitch.

* running standardisation: subtraction of the running mean, division by the running standard deviation. This has a spectral whitening effect.

The processed log-frequency spectrum is then used as an input for NNLS approximate transcription (using a dictionary of harmonic notes with geometrically decaying harmonics magnitudes). The output of the NNLS approximate transcription is semitone-spaced. To get the chroma, this semitone spectrum is multiplied (element-wise) with the desired profile (chroma or bass chroma) and then mapped to 12 bins. The resulting chroma frames can be normalised by (dividing by) their norm (L1, L2 and maximum norm available).

#### Parameters

The default settings (in brackets, below) are those used for Matthias Mauch’s 2010 MIREX submissions.

##### Suggested Parameter Settings

- generic pop song:
- use approximate transcription (NNLS): on
- spectral roll-on: 1.0%
- tuning mode: global tuning
- spectral whitening: 1.0
- spectral shape: 0.7

- solo harpsichord:
- use approximate transcription (NNLS): on
- spectral roll-on: 1.0%
- tuning mode: global tuning
- spectral whitening: 0.4
- spectral shape: 0.9

- generic pop song (quick and dirty):
- use approximate transcription (NNLS): off
- spectral roll-on: 1.0%
- tuning mode: global tuning
- spectral whitening: 1.0
- spectral shape: (doesn't matter: no NNLS)

- use approximate transcription (NNLS) (on or off; default: on): toggle between NNLS approximate transcription and linear spectral mapping.
- spectral roll-on (0 % — 5 %; default: 0 %): this removes low-frequency noise - useful in quiet recordings. Consider the cumulative energy spectrum (from low to high frequencies). All bins below the first bin whose cumulative energy exceeds the quantile [r roll on] x [total energy] will be set to 0. A value of 0 means that no bins will be changed.
- tuning mode (global or local; default: global): local uses a local average for tuning, global uses all audio frames. Local tuning is only advisable when the tuning is likely to change over the audio, for example in podcasts, or in a cappella singing.
- spectral whitening (0.0 — 1.0; default: 1.0): determines how much the log-frequency spectrum is whitened. A value of 0.0 means no whitening. For values other than 0.0 the log-freq spectral bins are divided by [standard deviation of their neighbours]^[spectral whitening], where “^” means “to the power of”.
- spectral shape (0.5 — 0.9; default: 0.7): the shape of the notes in the NNLS dictionary. Their harmonic amplitude follows a geometrically decreasing pattern, in which the i-th harmonic has an amplitude of [spectral shape]^[i-1], where “^” means “to the power of”.
- chroma normalisation (none, maximum norm, L1 norm, L2 norm; default: none): determines whether or how the chromagrams are normalised. If the setting is not ‘none’, then each chroma frame separately is divided by the chosen vector norm. Note that normalisation implies that the joint 24-dim. “Chroma and Bass Chromagram” output will be different from the individual 12-dim. “Chromagram” and “Bass Chromagram” outputs.
- Log-frequency Spectrum: a spectrum similar to the well-known constant Q spectrum, in which bins are linear in log-frequency. Three bins per semitone.
- Tuned Log-frequency Spectrum: has the same format as Log-frequency Spectrum, but has been processed by the following processes: tuning, subtraction of background spectrum, spectral whitening.
- Semitone Spectrum: a spectral representation with one bin per semitone. If NNLS is selected in the parameters, this is the note activation, otherwise just a linear mapping to semitones.
- Bass Chromagram: a 12-dimensional chromagram, restricted to the bass range. At each frame the Semitone Spectrum is multiplied by a bass pattern and then mapped to the 12 chroma bins.
- Chromagram: a 12-dimensional chromagram, restricted with mid-range emphasis. At each frame the Semitone Spectrum is multiplied by a mid-range pattern and then mapped to the 12 chroma bins.
- Chromagram and Bass Chromagram: a 24-dimensional chromagram, consisting of the both Bass Chromgram and Chromagram, see above. When normalisation is used, this representation will however be scaled differently, and hence be different from the individual chromagrams.
- Consonance estimate: A simple consonance value based on the convolution of a consonance profile with the Semitone Spectrum. WARNING: Experimental status. Compare two pieces of audio in terms of consonance only if the instrumentation is similar. Instruments with fluctuating pitches (also: voice) will decrease the consonance value.
- use approximate transcription (NNLS) (on or off; default: on): toggle between NNLS approximate transcription and linear spectral mapping.
- HMM (Viterbi decoding) (on or off; default: on): uses HMM/Viterbi smoothing. Otherwise: heuristic chord change smoothing.
- spectral roll-on (0 % — 5 %; default: 0 %): this removes low-frequency noise - useful in quiet recordings. Consider the cumulative energy spectrum (from low to high frequencies). All bins below the first bin whose cumulative energy exceeds the quantile [spectral roll on] x [total energy] will be set to 0. A value of 0 means that no bins will be changed.
- tuning mode (global or local; default: global): local uses a local average for tuning. Local tuning is only advisable when the tuning is likely to change over the audio, for example in podcasts, or in a cappella singing.
- spectral whitening (0.0 — 1.0; default: 1.0): determines how much the log-frequency spectrum is whitened. A value of 0.0 means no whitening. For values other than 0.0 the log-freq spectral bins are divided by [standard deviation of their neighbours]^[spectral whitening], where “^” means “to the power of”.
- spectral shape (0.5 — 0.9; default: 0.7): the shape of the notes in the NNLS dictionary. Their harmonic amplitude follows a geometrically decreasing pattern, in which the i-th harmonic has an amplitude of [spectral shape]^[i-1], where “^” means “to the power of”.
- chroma normalisation (none, maximum norm, L1 norm, L2 norm; default: none): determines whether or how the chromagrams are normalised. If the setting is not ‘none’, then each chroma frame separately is divided by the chosen vector norm. Note that normalisation implies that the joint 24-dim. “Chroma and Bass Chromagram” output will be different from the individual 12-dim. “Chromagram” and “Bass Chromagram” outputs.
- boost likelihood of the N (no chord) label (0.0 - 1.0; default: 0.1): leads to greater values in the profile of the "no chord" chord, hence non-harmonic parts of audio files are more likely to be recognised as such. Warning: for values above the default, it quickly leads to many chords being misclassified as N.
- Chord Estimate: estimated chord times and labels.
- Harmonic Change Value: an indication of the likelihood of harmonic change. Depends on the chord dictionary. Calculation is different depending on whether the Viterbi algorithm is used for chord estimation, or the simple chord estimate.
- Note Representation of Chord Estimate: a simple MIDI-like represenation of the estimated chord with bass note (if applicable) and chord notes. Can be used, for example, to export MIDI chords from Sonic Visuliser.
- spectral roll-on (0 % — 5 %; default: 0 %): this removes low-frequency noise - useful in quiet recordings. Consider the cumulative energy spectrum (from low to high frequencies). All bins below the first bin whose cumulative energy exceeds the quantile [spectral roll on] x [total energy] will be set to 0. A value of 0 means that no bins will be changed.
- Tuning: returns a single label (at time 0 seconds) containing an estimate of the concert pitch in Hz.
- Local Tuning: returns a tuning estimate at every analysis frame, an average of the (recent) previous frame-wise estimates of the concert pitch in Hz.

##### Detailed Description

#### Outputs

### Chordino

System identifier – vamp:nnls-chroma:chordino

RDF URI – http://vamp-plugins.org/rdf/plugins/nnls-chroma#chordino

#### General Description

Chordino provides a simple chord transcription based on NNLS Chroma (described above). Chord profiles given by the user in the file “chord.dict” are used to calculate frame-wise chord similarities. Two simple (non-state-of-the-art!) algorithms are available that smooth these to provide a chord transcription: a simple chord change method, and a standard HMM/Viterbi approach.

#### Parameters

#### Outputs

### Tuning

System identifier – vamp:nnls-chroma:tuning

RDF URI – http://vamp-plugins.org/rdf/plugins/nnls-chroma#tuning

#### General Description

The tuning plugin can estimate the local and global tuning of piece. The same tuning method is used for the NNLS Chroma and Chordino plugins.

#### Parameter

#### Outputs

### References and Credits

for the NNLS Chroma method:

Mauch, Matthias and Dixon, Simon: *Approximate Note Transcription for the Improved Identification of Difficult Chords*, Proceedings of the 11th International Society for Music Information Retrieval Conference (ISMIR 2010), 2010.