You could explore a few of the python bindings for these two libraries and see how it goes. A python binding for ffmpeg is provided by the ffmpeg-python package here, while a python binding for libopus is provided by the opuslib package here. Command line opusenc could also be used with subprocess.run() to send/receive audio streams:
1 Answer. Sorted by: 1. You can use python module os and subprocess for this if you have ffmpeg in PATH: import os import subprocess os.chdir (r'FILE_PATH') for ogg in [x for x in os.listdir () if x.endswith ('.ogg')]: subprocess.run ( ["ffmpeg", "-i", ogg, ogg.split (".") [0]+".mp3"]) Share. Improve this answer. Follow.
Python Program from pydub import AudioSegment # Convert wav to mp3 audio = AudioSegment.from_wav("input.wav") audio.export("output.mp3", format="mp3") print('Success. Given audio converted to mp3.') Output Success. Given audio converted to mp3. A new audio file output.mp3 should be created. Summary
import numpy as np from scipy.io import wavfile from scipy.signal import resample data = np.random.uniform (-1, 1, 500) data_resampled = resample (data, 44100) wavfile.write ('output.wav', 44100, data_resampled) Try playing around with the rate argument in sipy.io.wavfile.write. As the rate lowers, the frequency of the sound lowers. Thank you
Use the subprocess Module to Convert MP3 to WAV in Python Conclusion In the realm of audio processing, converting audio files from one format to another is a common practice. It’s particularly prevalent to convert MP3 files to WAV, given the distinct characteristics and use cases of these two formats.
Write a NumPy array as a WAV file. Parameters: filename string or open file handle. Output wav file. rate int. The sample rate (in samples/sec). data ndarray. A 1-D or 2-D NumPy array of either integer or float data-type. Notes. Writes a simple uncompressed WAV file. To write multiple-channels, use a 2-D array of shape (Nsamples, Nchannels).
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convert wav to mp3 python
