audio-chunks\chunk2.wav : At a short distance from the city. audio-chunks\chunk3.wav : Just at what is now called dutch street. audio-chunks\chunk4.wav : Sooner bounded with proofs of his ingenuity. audio-chunks\chunk5.wav : Patent smokejacks. audio-chunks\chunk6.wav : It required a horse to work some. Step 2: Load WAV as NumPy Array. With the WAV file ready, we can now load it into a NumPy array using SciPy’s wavfile module. This step involves two important components: the sample rate and the I'm actually retrieving audio files from Azure Blob Storage and I'd like to convert them back to the original format (mp3 format). I'm retrieving the audio using Pyspark in Databricks as shown in the following code: input_audio = spark.read.format("binaryFile").load("test.mp3") the input_audio is a PySpark Dataframe, I'd like to convert it to mp3. The soundfile package can load flac files in a numpy array compatible format. import numpy as np import soundfile as sf import keras from keras.models import Sequential from keras.layers import Dense, Dropout, Activation from keras.optimizers import SGD path = 'path/to/file.flac' data, samplerate = sf.read (path) dataset = [data, data] x_train !ffmpeg -i input.avi output.wav This will store your file in the output.wav in a format readable by scipy.wav. You could run this for each file beforehand or in a separate function using subprocess from os library of Python. That will be something like: import subprocess subprocess.run(["powershell", "ffmpeg -i input.avi output.wav"], shell=True) Whisper is a general-purpose automatic speech recognition model that was trained on a large audio dataset. The model can perform multilingual transcription, speech translation, and language detection. Whisper can be used as a voice assistant, chatbot, speech translation to English, automation taking notes during meetings, and transcription. I often need to download videos from Youtube in mp3 format. There are many websites where you can convert Youtube videos to mp3, but I am giving you a simple Python script that does the same job. How to use youtube-dl to convert youtube videos to mp3 files in python? This question has been asked by many users who want to download music or audio from youtube. Find out the best answers and solutions from the experts on Stack Overflow, the largest and most trusted online community for developers. 2 Answers. In general, you would simply load the audio into an array of shape (n, k), where n is number of channels and k number of loaded samples. By averaging along channel axis (sum and divide by number of channels), you'd get your mono signal. As @CodeSurgeon pointed out, do mixer.init (channels=1) -> docs. Use mixer.set_num_channels property. mkdir pytranscribe cd pytranscribe. We also need to export our AssemblyAI API key as an environment variable. Sign up for an AssemblyAI account and log in to the AssemblyAI dashboard, then copy "Your API token" as shown in this screenshot: export ASSEMBLYAI_KEY =your-api-key-here. CSoFEG.