Dmitry Goldenberg

Results 45 comments of Dmitry Goldenberg

Hi @palonso, I'm looking for similar sample snippets for the following: [Dissonance](https://essentia.upf.edu/reference/streaming_Dissonance.html): Inputs * frequencies (vector_real) - the frequencies of the spectral peaks (must be sorted by frequency) * magnitudes...

Thanks much for these pointers, @palonso. A side note on these algos; I'm noticing that some algos have multiple outputs such as for example `RhythmExtractor2013`. If I'm only interested in...

Hi @palonso > You can find tested parametrizations of the algorithms in the unit tests, for example [this one](https://github.com/MTG/essentia/blob/master/test/src/unittests/tonal/test_dissonance.py#L140). If I want to extract dissonance for a wide variety of...

Hi @palonso, thanks for your reply. I'm experimenting with `LoudnessEBUR128`. Here's what I've got so far: ``` loader = AudioLoader(filename=infile) loudness_e = LoudnessEBUR128(startAtZero=True) pool = essentia.Pool() loader.audio >> loudness_e.signal loader.sampleRate...

Hi @palonso sorry to bombard you with questions :) I'm looking into a few tensorflow-based algos. I've done a `pip install essentia-tensorflow` but keep getting errors such as this one:...

That makes sense, @palonso, thank you. I'll look into EBU R128. Working with `essentia-tensortflow`, I've run into a few issues. 1. **Model file names.** There are discrepancies between the model...

Thank you for your fast reply @palonso; very helpful! - So the .json files are informative; but are they *required* by the library? sounds like not? - For the predictions...

Hi @palonso, sorry, could you elaborate? ``` audio = MonoLoader(filename=infile, sampleRate=16000)() model = TensorflowPredictMusiCNN(graphFilename="danceability-musicnn-msd-2.pb") predictions = model(audio) ``` The 2D matrix looks like this, for example: ``` [0.3348741 0.6392199] [0.30579954...

Thanks, @palonso. Curious about the `Music style classification` algo, [discogs-effnet](https://essentia.upf.edu/models.html#discogs-effnet). The doc there refers to "400 styles from the Discogs taxonomy"; I'm counting about 388 in that list. Actually, the...

Hi @palonso, > I got a list of 167 numpy.ndarray's each of which tends to be close to 400 in length but generally not; it's 396, 388, etc. I've seen...