The simplest way I can think of is using the PyTorch mean function as in the example below. import torch import torchaudio def stereo_to_mono_convertor (signal): # If there is more than 1 channel in your audio if signal.shape [0] > 1: # Do a mean of all channels and keep it in one channel signal = torch.mean (signal, dim=0, keepdim=True) return Apply "Phone" filter to wav files in a directory transform wav files to mono + 16k Mix background noise file with recordings (mono) content_copy #ios #swift #file #pdf #doc #document #picker #mp3 #mp4 #video #audio Nokia video Converter can convertaudio to mp3 files, takedrive 16-bit or 24-bit. 1. 496. Download. Aimersoft DVD to BlackBerry Converter. Rip DVD to BlackBerry AVI with high quality and super fast speed. to BlackBerry Convertervideo and MP3, AAC drive 16-bit or 24-bit. 2. So the answer to your question of whether using FLAC makes sense depends on the source data: If you have 64-bit WAV files that were originally recorded at that sample format, with 192000 Hz (a.k.a 192KHz), and you convert them to a "standard" FLAC sample format of 16-bit and 44.1 KHz, you are going to lose a TON of data. Convert to WAV. Using Zamzar it is possible to convert to WAV from a variety of other formats. 264 to wav (H.264 Raw Files) 3g2 to wav (3GPP2 Multimedia File) 3ga to wav (3GA Multimedia File) 3gp to wav (3GPP Multimedia File) 3gpp to wav (3GPP Multimedia File) aac to wav (Advanced Audio Coding File) ffmpeg -i video.mkv audio.mp3. For downsampling to 16KHz, converting stereo (2 channels) to mono (1 channel) and converting MP3 to WAV (uncompressed audio samples), one needs to use the -ar (audio ev5g. Bounce and dither your source from 24-bit to 16-bit to start, if it's not already there. I'd keep it WAV format still. Then, it depends on your DAW. I can bounce out from Logic to a 64 stereo/32k mono and if I set the Stereo out to Mono I get that 32kbps file. Audacity can *export* to fixed rate mono that low, and it's free.

convert mp3 to wav mono 16 bit