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Feature/baseline updates - #69
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CQTProcessor, CQTSpectralFluxProcessor (OPHMM) and RawSpectrumProcessor (SKF) passed dtype=np.float32 to librosa.cqt / librosa.stft. librosa 0.11 then returns a real array, dropping the imaginary part, so np.abs gave |Re X| instead of |X| (about 36% mean magnitude error). Compute the complex transform and cast its modulus to float32. OPHMM's score templates already used the complex modulus.
The audio OPHMM used the symmetric +-3 transition table of the MIDI model
(Nakamura et al. 2014, Table 3, with the +1 entry mistyped as 0.94531 for
0.84531), filled the whole matrix with 1e-6 outside the band that the forward
step uses, boosted the exit probability by spectral flux, and defaulted to
s_j = 1e-5. Follow the audio paper instead (Sec. III-B, IV-B2): nbh(i) =
{j; 0 <= i - j <= 2} with a_{i,i+2} = 1e-50 and no backward moves, no mass
outside the band, no flux boost, and s_j = 1e-100 (Sec. IV-C).
build_chord_sequence measured note lengths in score beats divided by 4, which is wrong whenever the beat is not a quarter note; use onset_quarter. The tempo read from a score marking now honours the marking's unit (e.g. half = 100 is 200 quarter-note BPM).
arzt_tempo: frame-level Arzt OLTW with the simple tempo model of Arzt & Widmer (SMC 2010), computed from a backward path (dtw_loop records backpointers). arzt_multi_fold: for folded scores, one Arzt matcher per unfolded version of the score, outputting the matcher with the lowest recent cost (adapted from Arzt, Widmer & Dixon, ECAI 2008, and Widmer & Arzt, Vienna Talk 2010).
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gt_from_match took performance onsets from note_array()'s onset_sec, which
partitura stores as float32. A MIDI follower stamps its updates with the
float64 onset it receives, so the GT time of the same onset could fall a few
tens of nanoseconds earlier, and the perf -> score lookup ("last position at
or before t") then missed the update made at that onset and scored the
previous event. In the eval fold about a third of MIDI onsets were scored one
event late this way; 6/8 scores, where one event is up to a beat, failed the
tracking criterion on paths that are correct. Use the PerformedPart notes'
note_on (float64) instead: GT and follower times now coincide exactly.
The bottom-level self-transitions took the chord durations from score beats times 60 / tempo. The tempo is quarter-note BPM, but score beats follow the time signature, so in 6/8 (eighth-note beats) every chord was expected to last twice as long, and in 2/2 half as long. Use onset_quarter; the reported score positions stay in beats.
…notes A .match file and the MIDI file a follower streams can store the same notes at different tick resolutions ((n)ASAP: 480 vs 384 ppq), so their onsets differ by up to half a tick. A GT time a fraction of a millisecond before the follower's update was scored against the position before that update. resolve_gt/gt_from_match take the streamed performance and use its onsets when every matched note has the same id and pitch in it.
ParticleFilterMidiProcessor returned the middle of the polling window, which precedes the onsets in the window's second half and follows those in its first half. Use the first onset of the frame, as the other MIDI processors do.
…neTimeWarpingArztFrame - Implement ArztTempoModel in matchmaker/utils/tempo_models.py (Arzt & Widmer 2010 simple tempo model with dynamic score alterations and standalone onset support) - Integrate ArztTempoModel into OnlineTimeWarpingArztFrame with bounded backward step and tempo projection - Support tempo model kwargs and benchmark evaluation in matchmaker/methods.yaml and utils/eval.py - Add unit tests for ArztTempoModel and OnlineTimeWarpingArztFrame
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Baseline fixes and two new audio baselines for the TISMIR 2026 benchmark reruns. Supersedes #68.
New
arzt_tempo: OLTW with Arzt & Widmer (2010) simple tempo model with dynamic score alterations.ArztTempoModelinmatchmaker/dp/tempo.py, cleanly integrated intoOnlineTimeWarpingArztFrame(tempo_model=...).tempo_min=0.85,tempo_max=1.20,min_advance=10) and anchor-based tempo projection inget_current_position()to prevent runaway feedback loops and discretization drift.arzt_multi_fold: Arzt OLTW tracking several unfolded score variants in parallel for folded scores (needsunfold_score=False).matchmaker/features/audio.py: addedOnset2008Processorfor Arzt (2008) onset representation.dtw_loop.pyx: optionalbackpointersrecord the backward path used forarzt_tempo's tempo estimate (rebuild the Cython extension).run_examples.py: options for piece, files, unfolding (now off by default) and method kwargs.tests/test_tempo_models.py,tests/test_oltw_arzt.py,tests/test_utils_eval_gt.py.Bug fixes
dtypedropped the imaginary part).D1=0,D2=2),a_{i,i+2}=1e-50, no flux boost, class defaults_j=1e-100.gt_from_match: GT onsets from float64note_oninstead of float32onset_sec. A GT onset could sit ~1e-5 s before the update that reports it, so that onset's update was missed.Notes
methods.yamlkeeps audio OPHMMs_j: 0.0on purpose (benchmark setting for performances without repeats).