#
AudioLoad .wav
file#
To load a wav file as a Document.
from docarray import Document
d = Document(uri='toy.wav').load_uri_to_audio_tensor()
print(d.tensor.shape, d.tensor.dtype)
(30833,) float32
Save as .wav
file#
You can save Document .tensor
as a .wav
file:
d.save_audio_tensor_to_file('toy.wav')
Example#
Let’s load the “hello” audio file, reverse it and finally save it.
from docarray import Document
d = Document(uri='hello.wav').load_uri_to_audio_tensor()
d.tensor = d.tensor[::-1]
d.save_audio_tensor_to_file('olleh.wav')
hello.wav | olleh.wav |
---|---|
Other tools & libraries for audio data#
By no means you are restricted to use DocArray native methods for audio processing. Here are some command-line tools, programs and libraries to use for more advanced handling of audio data:
FFmpeg
is a free, open-source project for handling multimedia files and streams.pydub
: manipulate audio with a simple and easy high level interfacelibrosa
: a python package for music and audio analysis.pyAudioAnalysis
: for IO or for more advanced feature extraction and signal analysis.