I aim to take a raw audio file as input. And my final objective is to convert that audio into an, unique for each audio, ID. Is there any python library to do it? One which takes audio as an input.
Or One which can at least convert it to something from where I can further convert it to unique IDs?
Thanks in advance.
I am not completely sure about your end use, but I list few libraries which might help.
1: Wave:
If you want to do basic stuff use this library. The wave module provides a convenient interface to the WAV sound format.
https://docs.python.org/3/library/wave.html
2: If you want to convert a speech into writing form or vice versa use following python tool:
https://github.com/michaelgundlach/pyspeech
3: For digital audio format you can try following python tool:
https://docs.python.org/2/library/aifc.html
4: Check this audio conversion library:
https://pypi.org/project/ftransc/
5: IF you want to do some cool stuff then I suggest the following, its so cool:
Article pyAudioAnalysis: An Open-Source Python Library for Audio Sig...
https://opensource.com/article/19/9/audio-processing-machine-learning-python
6: Follow the following link you can find many useful stuff:
https://realpython.com/playing-and-recording-sound-python/
Hope these link will help.
Is there a need for a semantic link between element IDs and the contained audio signals? If yes, the previous answers might guide you to your success, if that link is not strictly needed however, I would suggest to just assign an arbitrary ID to the file. There are manifold ID generators for any programming language, but even a counting ID might suffice as long as you do not wish to interprete the ID itself. If the audio signal does not need to be encoded, but some linkage to the file content is needed because of different files with the same content, meta data indexing might also help.
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