In Python, We have a Library AudioSegment it helps to convert .mp3->.wav and vice versa. from pydub import AudioSegment sound = AudioSegment.from_mp3("somemp3filename.mp3")
how to convert a webm file to mp3 with the same quality? and master the compression of wav and mp3 file ? all of that in python Locked post. New comments cannot be posted.

I have encountered the same problem as well. My problem was having a low pitched output compared to the original. I manage to reverse engineer the original audio to get the nframes, samplerate, and sampwidth using getnframes(),getframerate(), and getsampwidth() respectively.

Converting WAV file bytes to speech recognition-compatible format 3 Python, need to play audio extracted from a text-to-speech API, but I cannot convert it to a bytes-like object
Similar to @kakrafoon 's answer but using soundfile to both read and write (in case you care about limiting the number of external dependencies):. import soundfile import wave file_path = "your_file.wav" # Read and rewrite the file with soundfile data, samplerate = soundfile.read(file_path) soundfile.write(file_path, data, samplerate) # Now try to open the file with wave with wave.open(file 3) convert an array into an mp3. def array_to_mp3 (new_array): halb halb halb return new_mp3. I know that Mel Spectrograms and Mel-frequency cepstral coefficients (mfcc's) are commonly used in classification systems. As far as I know, I can't use these, because they can't be converted back to mp3's without significant loss. IcDP1.
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    • how to convert mp3 to wav in python