Thats the code im using without all the keys and encryption, and everthing works apart from the convert from MP3 to Wav. is there any way I can save the requested file locally in this script and pass it through in: audio_config = speechsdk.audio.AudioConfig(filename="Telefoongesprek #****.wav"). or do I have to save it to the pc and do it using lame (command line), you can encode wav to mp3 like this: $ lame --preset insane /path/to/file.wav. which would create: file.wav.mp3. in Python, you could use subprocess to call it: wav = 'myfile.wav' cmd = 'lame --preset insane %s' % wav subprocess.call (cmd, shell=True) Share. Follow this answer to receive notifications. Python convert mp3 to wav with Pydub. 22 Convert any audio file to mp3 with python. 1 Converting wav to mp3 from python . 1 Convert multiple MP3 files to WAV in Convert WAV to MP3, mix down to mono (use 1 audio channel), set bit rate to 64 kbps and sample rate to 22050 Hz: ffmpeg -i input.wav -ac 1 -ab 64000 -ar 22050 output.mp3. Convert any MP3 file to WAV 16khz mono 16bit: ffmpeg -i 111.mp3 -acodec pcm_s16le -ac 1 -ar 16000 out.wav. Convert any MP3 file to WAV 20khz mono 16bit for ADDAC WAV Player: Convert GIF Image to Video (MP4, AVI) Using Python MoviePy: A Step Guide – Python Tutorial; Python Convert MP3 to WAV: A Simple Guide – Python Tutorial; Python Create GIF with Images Using MoviePy: A Complete Guide – Python Tutorial; Python MoviePy Convert Different Size Images (PNG, JPG) to Video – Python MoviePy Tutorial Speech to text support wav files with LINEAR16 or MULAW encoded audio. Below is the code to get the frame rate and channel with code. def frame_rate_channel(audio_file_name): with wave.open(audio_file_name, "rb") as wave_file: frame_rate = wave_file.getframerate() channels = wave_file.getnchannels() return frame_rate,channels Modified 1 year, 3 months ago. Viewed 3k times. 2. I'm using ffmpeg-python. I would like to change the sample rate of the audio file. In ffmpeg-, it seems that you can change the sample rate as follows. ffmpeg -i" movie.mp3 "-y" movie.flac "-ar 44100. -ar is sample rate. import numpy as np from scipy.io.wavfile import write rate = 44100 data = np.random.uniform (-1, 1, rate) # 1 second worth of random samples between -1 and 1 scaled = np.int16 (data / np.max (np.abs (data)) * 32767) write ('test.wav', rate, scaled) If you want Python to actually play audio, then this page provides an overview of some of the 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: PjSt5.

convert mp3 to wav python