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Playing and Recording Sound in Python – Real Python
https://realpython.com/playing-and-recording-sound-python/#:~:text=In%20order%20to%20play%20WAV%20files%2C%20numpy%20and,as%20a%20NumPy%20array%20and%20play%20it%20back%3A
python - How to read a MP3 audio file into a numpy array ...
https://stackoverflow.com/questions/53633177/how-to-read-a-mp3-audio-file-into-a-numpy-array-save-a-numpy-array-to-mp3
This code allows to read a MP3 to a numpy array / write a numpy array to a MP3 file with a similar API than scipy.io.wavfile.read/write: import pydub import numpy as np def read(f, normalized=False): """MP3 to numpy array""" a = pydub.AudioSegment.from_mp3(f) y = np.array(a.get_array_of_samples()) if a.channels == 2: y = y.reshape((-1, 2)) if normalized: …
audio2numpy - PyPI
https://pypi.org/project/audio2numpy/
Reading and writing files — NumPy v1.23.dev0 Manual
https://numpy.org/devdocs/user/how-to-io.html
array = numpy.memmap("mydata/myarray.arr", mode="r", dtype=np.int16, shape=(1024, 1024)) Files output by numpy.save (that is, using the numpy format) can be read using numpy.load with the mmap_mode keyword argument: large_array[some_slice] = np.load("path/to/small_array", mmap_mode="r") Memory mapping lacks features like data chunking and compression; more …
scipy.io.wavfile.read — SciPy v1.7.1 Manual
https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.wavfile.read.html
Audio Handling Basics: Process Audio Files In Command …
https://hackernoon.com/audio-handling-basics-how-to-process-audio-files-using-python-cli-jo283u3y
The most common way to load WAV data to numpy arrays is scipy.io.wavfile, while for MP3 data one can use pydub ( https://github.com/jiaaro/pydub) that uses ffmpeg for encoding / decoding audio data. In the following example, the same signal stored in WAV and MP3 files is loaded to numpy arrays.
scipy.io.wavfile.read — SciPy v0.14.0 Reference Guide
https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.io.wavfile.read.html
Data read from wav file. Notes. The file can be an open file or a filename. The returned sample rate is a Python integer; The data is returned as a numpy array with a data-type determined from the file. Previous topic. scipy.io.FortranFile.write_record. Next topic. scipy.io.wavfile.write
Short Tutorial - Read the Docs
https://simpleaudio.readthedocs.io/en/latest/tutorial.html
Numpy arrays can be used to store audio but there are a few crucial requirements. If they are to store stereo audio, the array must have two columns since each column contains one channel of audio data. They must also have a signed 16-bit integer dtype and the sample amplitude values must consequently fall in the range of -32768 to 32767.
Scikits Audiolab - Python Audio Effects GUI
https://sites.google.com/site/ldpyproject/scikits-audiolab
Reading an audio file into a Numpy array. There are two ways to go about reading an audio file using Scikits Audiolab. The first and easiest way is to use the MATLAB-like API. There is a read function specific to 6 audio file formats: AIFF, AU, FLAC, OGG, SDI, and WAV. The syntax for these methods are as follows:
Playing and Recording Sound in Python – Real Python
https://realpython.com/playing-and-recording-sound-python/
If you want to store your audio in a different file format, pydub and soundfile come in handy, as they allow you to read and write a range of popular file formats (such as MP3, FLAC, WMA and FLV). wavio This module depends on numpy and lets you read WAV files as NumPy arrays, and save NumPy arrays as WAV files.
Audio Data Preparation and Augmentation | TensorFlow I/O
https://www.tensorflow.org/io/tutorials/audio
from IPython.display import Audio Audio(audio_tensor.numpy(), rate=audio.rate.numpy()) Your browser does not support the audio element. It is more convinient to convert tensor into float numbers and show the audio clip in graph: import matplotlib.pyplot as plt tensor = tf.cast(audio_tensor, tf.float32) / 32768.0 plt.figure()
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