Audacity is an excellent audio application which can show a real time spectrogram of your input audio file sonic-visualiser is another essential audio tool for this purpose they will confirm what a proper spectrogram of your audio should look like to understand how to code up one I suggest you invest time understanding the notion of a fourier transform just slogging on some It's recommended to replace the .mkv extension with .wav extension (not just adding .wav): wav_file_name = filename.replace('.mkv', '.wav') Make sure that the MKV files are in the correct path, and that you have read permissions to the files, and write permissions to the folder.

And convert the mp3 to wav format either using pydub or FFmpeg and then give this wav file to speech How can I convert text to speech (mp3 file) in python? 3.

Now that we have our mp3_to_text function defined, we can use it to convert MP3 files to text: filename = "audio.mp3" text = mp3_to_text (filename) print (text) This will convert the MP3 file audio.mp3 to text and print it to the console. You can also save the text to a file by writing it to a file instead of printing it: filename = "audio.mp3
So to convert this audio file in MP4 file format to an actual MP3 file, we are using this line of code: # this splits the audio file, the base and the extension base, ext = os.path.splitext(output) # this converts the audio file to mp3 file new_file = base + '.mp3' # this renames the mp3 file os.rename(output, new_file)
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convert wav to mp3 python