For converting the raw pcm array to an mp3 directly, remove all the wave file operations and replace with the following. This pipes the data into lame all in one go. raw_pcm = b''.join (frames) l = subprocess.Popen ("lame - -r -m m recorded.mp3", stdin=subprocess.PIPE) l.communicate (input=raw_pcm) For piping the pcm data into lame as it is AudioSegment.from_file () takes a file path or file-like object as it's first argument. Assuming you have the raw bytes of a whole wave file (including wave headers, not just the audio data) then you can: import io s = io.BytesIO (y ['data']) AudioSegment.from_file (s).export (x, format='mp3') If you only have the bytes of the audio samples you The problem is that the downloaded audio file is either a .webm or a .mp4 file, which I'd like to convert to a .mp3 file. Is there a way to read the filetype (webm/mp4) first and then run a code that converts it to a mp3 file? I'd like to run it as a script in pycharm. Not as a command in the console. Thanks for your answers. Das Typ To make it easier I'd convert with some tools mp3 to wav, either: $ ffmpeg -i foo.mp3 -vn -acodec pcm_s16le -ac 1 -ar 44100 -f wav foo.wav or $ mpg123 -w foo.wav foo.mp3 Then read the WAV with one of the python WAV libraries. I'd recommend PySoundFile because it works with most generated WAV correctly and installed without issue (as opposed to How to convert MP3 to WAV in Python. 7. Python: decode mp3. 9. Playing audio file with Python. 32. Python convert wav to mp3. 2. Python - playing mp3 files. 87 4. I use the Python bindings for gstreamer. It's a bit hard to get started but once you get going nearly anything's possible. From the command line (from gstreamer's documentation ): gst-launch -v filesrc location=music.wav ! decodebin ! audioconvert ! audioresample ! lame bitrate=192 ! id3v2mux ! filesink location=music.mp3. WdJq57. 2. Here is a solution which employs ffmpeg and the os library to first convert all .opus files in the specified directory to .wav, and then perform speech recognition on the resulting .wav files using the speech_recognition module: Collaborators. A mp3 converter, converting mp3 audio data to wav type, for both audio type mono and stero. Latest version: 0.1.11, last published: 5 years ago. Start using mp3-to-wav in your project by running `npm i mp3-to-wav`. There are 3 other projects in the npm registry using mp3-to-wav. mp3_fol = "D:/mp3/" mp3_file = AudioSegment.from_mp3(mp3_fol + "my.mp3") I'm using Windows with a unzipped version of ffmpeg (so no installation, Path entry or similar). While the converter method seemed to acutally set a value, the ffprobe method didn't do anything. You will need to use Wwise to get any other formats out. Sorry. A lot of games use vorbis encoding and for that you can use wwise2ogg which has been around for a very, very long time. This will completely fail for any other encoding used on the WEM format (the console will also warn you that it will probably fail). Add captions to VLC media player. If you use VLC to play video or audio files, you can add your vtt or srt transcripts as captions by drag-and-drop the transcript file to the media player or go to Subtitles -> Add Subtitle File. With audio-only files you will need to enable a visualization in Audio -> Visualizations.

convert mp3 to wav python