musicflower.loader.get_chroma

musicflower.loader.get_chroma(data, cqt=False, normal=False, harm=False, filter=False, smooth=True, asdict=False, loader=<function load>)[source]

Get chroma features from audio data.

Parameters

data (Union[str, Tuple[ndarray, int]]) – a path to an audio file, which is loaded using librosa’s load function, or a tuple (y, sr) that is of the same type as returned by the load function, i.e. y: an audio time series as np.ndarray and sr the sampling rate
cqt (bool) – return constant-Q transform
normal (bool) – return “normal” chroma features
harm (bool) – filter harmonics before computing chroma features
filter (bool) – apply non-local filtering to chroma features
smooth (bool) – apply a horizontal median filter (after non-local filtering)
asdict (bool) – return results as a dict (keys are ‘cqt’, ‘normal’, ‘harm’, ‘filter’, ‘smooth’)
loader – the loader to use (defaults to librosa.load)

Return type

Union[Tuple[ndarray], Dict[str, ndarray]]

Returns

tuple or dict with results (cqt/normal/harm/filter/smooth as specified)