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Releases: CPJKU/madmom

Version 0.16.1

14 Nov 14:57
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Version 0.16.1 (release date: 2017-11-14)

This is a maintenance release.

  • Include .pyx files in source distribution

Version 0.16

13 Nov 15:41
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Release Notes

Version 0.16 (release date: 2017-11-13)

New features:

  • TempoDetector can operate on live audio signals (#292)
  • Added chord evaluation (#309)
  • Bar tracking functionality (#316)
  • Added quantize_notes function (#327)
  • Added global key evaluation (#336)
  • Added key recognition feature and program (#345, #381)

Bug fixes:

  • Fix TransitionModel number of states when last state is unreachable (#287)
  • Fix double beat detections in BeatTrackingProcessor (#298)
  • Fix ffmpeg unicode filename handling (#305)
  • Fix STFT zero padding (#319)
  • Fix memory leak when accessing signal frames (#322)
  • Quantization of events does not alter them (#327)

API relevant changes:

  • BufferProcessor uses data instead of buffer for data storage (#292)
  • DBNBeatTrackingProcessor expects 1D inputs (#299)
  • Moved downbeat and pattern tracking to features.downbeats (#316)
  • Write/load functions moved to io module (#346)
  • Write functions do not return any data (#346)
  • Evaluation classes expect annotations/detections, cannot handle files (#346)
  • New MIDI module (io.midi) replacing (utils.midi) based on mido (#46)

Other changes:

  • Viterbi decoding of HMM raises a warning if no valid path is found (#279)
  • Add option to include Nyquist frequency in STFT (#280)
  • Use pyfftw to compute FFT (#363)
  • Python 3.7 support (#374)
  • Use pytest instead of nose to run tests (#385)
  • Removed obsolete code (#385)

Version 0.15.1

07 Jul 10:24
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Version 0.15.1 (release date: 2017-07-07)

This is a maintenance release.

  • NumPy boolean subtract fix (#296)

Version 0.15

25 Apr 08:59
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Release Notes

Version 0.15 (release date: 2017-04-25)

New features:

  • Streaming mode allows framewise processing of live audio input (#185)
  • Exponential linear unit (ELU) activation function (#232)
  • DBNBeatTracker can operate on live audio signals (#238)
  • OnsetDetectorLL can operate on live audio signals (#256)

Bug fixes:

  • Fix downbeat evaluation failure with a single annotation / detection (#216)
  • Fix tempo handling of multi-track MIDI files (#219)
  • Fix error loading unicode filenames (#223)
  • Fix ffmpeg unicode filename handling (#236)
  • Fix smoothing for peak_picking (#247)
  • Fix combining onsets/notes (#255)

API relevant changes:

  • NeuralNetwork expect 2D inputs; activation can be computed stepwise (#244)
  • Reorder GRUCell parameters, to be consistent with all other layers (#243)
  • Rename GRULayer parameters, to be consistent with all other layers (#243)

Other changes:

  • SPL and RMS can be computed on Signal and FramedSignal (#208)
  • num_threads is passed to ParallelProcessor in single mode (#217)
  • Use install_requires in setup.py to specify dependencies (#226)
  • Use new Cython build system to build extensions (#227)
  • Allow initialisation of previous/hidden states in RNNs (#243)
  • Forward path of HMM can be computed stepwise (#244)

Version 0.14.1

01 Aug 17:01
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Release Notes

Version 0.14.1 (release date: 2016-08-01)

This is a maintainance release.

  • RNNDownBeatProcessor returns only beat and downbeat activations (#197)
  • Update programs to reflect MIREX 2016 submissions (#198)

Version 0.14

28 Jul 11:44
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Release Notes

Version 0.14 (release date: 2016-07-28)

New features:

  • Downbeat tracking based on Recurrent Neural Network (RNN) and Dynamic
    Bayesian Network (DBN) (#130)
  • Convolutional Neural Networks (CNN) and CNN onset detection (#133)
  • Linear-Chain Conditional Random Field (CRF) implementation (#144)
  • Deep Neural Network (DNN) based chroma vector extraction (#148)
  • CRF chord recognition using DNN chroma vectors (#148)
  • CNN chord recognition using CRF decoding (#152)
  • Initial Windows support (Python 2.7 only, no pip packages yet) (#157)
  • Gated Recurrent Unit (GRU) network layer (#167)

Bug fixes:

  • Fix downbeat output bug (#128)
  • MIDI file creation bug (#166)

API relevant changes:

  • Refactored the ml.rnn to ml.nn and converted the models to pickles (#110)
  • Reordered the dimensions of comb_filters to time, freq, tau (#135)
  • write_notes uses delimiter instead of sep to separate columns (#155)
  • LSTMLayer takes Gates as arguments, all layers are callable (#161)
  • Replaced online parameter of FramedSignalProcessor by origin (#169)

Other changes:

  • Added classes for onset/note/beat detection with RNNs to features.* (#118)
  • Add examples to docstrings of classes (#119)
  • Converted madmom.modules into a Python package (#125)
  • match_files can handle inexact matches (#137)
  • Updated beat tracking models to MIREX 2015 ones (#146)
  • Tempo and time signature can be set for created MIDI files (#166)

Version 0.13.2

09 Jun 07:41
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Release Notes

Version 0.13.2 (release date: 2016-06-09)

This is a bugfix release.

  • Fix custom filterbank in FilteredSpectrogram (#142)

Version 0.13.1

14 Mar 09:39
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Version 0.13.1 (release date: 2016-03-14)

This is a bugfix release.

  • Fix beat evaluation argument parsing (#116)

Version 0.13

07 Mar 12:25
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Release Notes

Version 0.13 (release date: 2016-03-07)

Main features:

Bug fixes:

  • Fix nasty unsingend indexing bug (#88)
  • MIDI note timing could get corrupted if note_ticks_to_beats() was called
    multiple times (#90)

API relevant changes:

  • Renamed DownBeatTracker and all relevant classes to PatternTracker (#25)
  • Complete refactoring of the features.beats_hmm module (#52)
  • Unified negative index behaviour of FramedSignal (#72)
  • Removed pickling of data classes since it was not tested thoroughly (#81)
  • Reworked stacking of spectrogram differences (#82)
  • Renamed norm_bands argument of MultiBandSpectrogram to norm_filters
    (#83)

Other changes:

  • Added alignment evaluation (#12)
  • Added continous integration testing (#16)
  • Added -o option to both single/batch processing mode to not overwrite
    files accidentially in single mode (#18)
  • Removed block_size parameter from FilteredSpectrogram (#22)
  • Sample rate is always integer (#23)
  • Converted all docstrings to the numpydoc format (#48)
  • Batch processing continues if non-audio files are given (#53)
  • Added code quality checks (#61)
  • Added coverage measuring (#74)
  • Added `--down`` option to evaluate only downbeats (#76)
  • Removed option to normalise the observations (#95)
  • Moved filterbank related argument parser to FilterbankProcessor (#96)

v0.12.1

22 Jan 10:32
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This version adds Python 3 compatibility to setup.py; needed to make interactive binders work.