Bump essentia from 2.1b5 to 2.1b6.dev1177

[dependabot]

Bumps essentia from 2.1b5 to 2.1b6.dev1177.

Release notes

Sourced from essentia's releases.

Essentia 2.1 beta5 is our current preliminary version of the forthcoming 2.1 release. This pre-release includes the following changes:

• Algorithms updates and bug-fixes

  • Fix the slaneyMel scale implementation in MelBands and MFCC (#849). Introduced in 2.1-beta4, it was erroneously computing the HTK Mel scale. Set htkMel as the default scale to ensure backward compatibility with all previous versions of MelBands/MFCC.

  • New option unit_tri for triangle area normalization in MelBands, MFCC, and TriangularBands.

  • New parameter silenceThreshold in MFCC and GFCC. Set default threshold to 1e-10 (#543).

  • TriangularBands: faster unit-sum normalization and an improved check for insufficient spectrum resolution (#142).

  • ConstantQ and the related Chromagram and SpectrumCQ are reimplemented from scratch and now function correctly. The maxFrequency parameter is replaced by numberBins.

  • New negativeFrequencies parameter in FFTC to include negative frequencies in the output.

  • New normalize parameter for IFFT size normalization.

  • FFTC now supports KissFFT and Accelerate.

  • PoolAggregator: new aggregation method last to get the last value. Fix possible nan/inf values in kurtosis and skewness (#689). Apply aggregation for pool values that contain only one vector too.

  • New checkRange parameter in Trimmer and StereoTrimmer.

  • PitchFilter: improve consistency between input and output stream types (#674).

  • PitchMelodia: fix missing output pitchConfidence in streaming mode.

  • MultiPitchMelodia: peakFrameThreshold and peakFrameThreshold parameters now work correctly (they were overridden by hardcoded values).

  • New tolerance parameter in PitchYinFFT. When the pitch confidence is lower than the tolerance value the output pitch is set to 0. A tolerance of 1 disables this feature.

  • Fix occasional negative values output by Danceability (#483).

  • LoudnessEBUR128:

    • Fix memory leaks and warnings on empty input. Set a larger internal buffer size to avoid buffer resizes.
    • New parameter startFromZero to zero-center the first window for loudness estimation.

  • Fix a memory leak in AudioLoader.

  • BeatTrackerDegara output is now deterministic (#860).

  • ChordDetectionBeats: add new parameter chromaPick and fix a beat segment indexing bug in the case of very close consecutive beats.

  • New minPeakDistance parameter in PeakDetection.

  • Fix invalid memory access in PCA (#727).

  • Update Key and KeyExtractor algorithms with new pitch class profiles and new parameters for detuning correction and low-energy HPCP bin thresholding. Use the new bgate profile by default. Add spectral whitening step to KeyExtractor. Change output key naming. Add a new function equivalentKey to match between equivalent names.

  • Proper mutex implementation for all FFT* algorithms.

• New algorithms

  • Invertible Constant-Q based on Non-Stationary Gabor frames: NSGConstantQ, NSGIConstantQ, NSGConstantQStreaming.
  • Chromaprinter (fingerprinting) wrapper for the Chromaprint library.
  • NNLSChroma and LogSpectrum (derived from the original NNLS Chroma code).
  • TriangularBarkBands (more configurable than BarkBands) and BFCC (bark-frequency cepstrum coefficients).
  • New algorithms for audio problems detection: ClickDetector, DiscontinuityDetector, FalseStereoDetector, GapsDetector, HumDetector, NoiseBurstDetector, SNR, SaturationDetector, StartStopCut, TruePeakDetector.
  • New algorithms for probabilistic Yin (pYIN) pitch estimation: PitchYinProbabilistic, PitchYinProbabilities, PitchYinProbabilitiesHMM.
  • StereoTrimmer and StereoMuxer.
  • Welch (power spectral density estimation).
  • New algorithm IFFTC for inverse complex STFT.
  • Histogram.

• Updated music and sound feature extractors streaming_extractor_music and streaming_extractor_freesound. Both extractors are now also available as algorithms: MusicExtractor and FreesoundExtractor. New MusicExtractorSVM algorithm allows applying SVM models to the output of MusicExtractor.

  • Fix possible memory leaks in MusicExtractor
  • Proper logging for "out of memory" errors
  • Skip aggregation for some descriptors

... (truncated)

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