kapre
id3reader
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kapre
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[D] Audio processing on mobile devices
Consider Keras Audio Preprocessors. You can basically use that to insert a convolutional layer into the beginning of your TensorFlow model that has fixed weights that will convert the raw audio frames to STFT and Mel-Frequency Spectrograms.
id3reader
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Tracking mentions began in Dec 2020.
What are some alternatives?
librosa - Python library for audio and music analysis
TimeSide - scalable audio processing framework and server written in Python
pydub - Manipulate audio with a simple and easy high level interface
mingus - Mingus is a music package for Python
audioread - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python
Watson Developer Cloud Python SDK - :snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
essentia - C++ library for audio and music analysis, description and synthesis, including Python bindings
beets - music library manager and MusicBrainz tagger
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
django-elastic-transcoder - Django + AWS Elastic Transcoder
pyechonest - Python client for the Echo Nest API