Mixing two audio files together with python

concatenate multiple wav files python
concatenate mp3 files python
how to read multiple audio files in python
python audio processing
python audio manipulation
python audio file
split audio python

I have two wav files that I want to mix together to form one wav file. They are both the same samples format etc...

Been searching google endlessly.

I would prefer to do it using the wave module in python.

How can this be done?

You can use the pydub library (a light wrapper I wrote around the python wave module in the std lib) to do it pretty simply:

from pydub import AudioSegment

sound1 = AudioSegment.from_file("/path/to/my_sound.wav")
sound2 = AudioSegment.from_file("/path/to/another_sound.wav")

combined = sound1.overlay(sound2)

combined.export("/path/to/combined.wav", format='wav')

How to join two wav files using python?, Python ships with the wave module that will do what you need. The example below works when the details of the files (mono or stereo, frame  Simple Audio Processing in Python With Pydub. Filter, mix, load, and save audio in Python Mixing audio from two different audio files. we will bring everything together by applying pan

A python solution which requires both numpy and audiolab, but is fast and simple:

import numpy as np
from scikits.audiolab import wavread

data1, fs1, enc1 = wavread("file1.wav")
data2, fs2, enc2 = wavread("file2.wav")

assert fs1 == fs2
assert enc1 == enc2
result = 0.5 * data1 + 0.5 * data2

If sampling rate (fs*) or encoding (enc*) are different, you may need some audio processing (the assert are strictly speaking too strong, as wavread can handle some cases transparantly).

Mixing many audio files fast and easy, Using Sox, you can easily mix two files together by using the command sox −m input1.wav input2.wav output.wav. This command will already be faster than  from pydub import AudioSegment sound1 = AudioSegment.from_wav("/path/to/file1.wav") sound2 = AudioSegment.from_wav("/path/to/file2.wav") combined_sounds = sound1 + sound2 combined_sounds.export("/output/path.wav", format="wav") note: pydub is a light wrapper around audioop.

You guys like numpy, no? Below is a solution that depends on wave and numpy. Raw bytes in two files './file1.wav' and './file2.wav' are added. It's probably good to apply np.clip to mix before converting back to int-16 (not included).

import wave
import numpy as np
# load two files you'd like to mix
fnames =["./file1.wav", "./file2.wav"]
wavs = [wave.open(fn) for fn in fnames]
frames = [w.readframes(w.getnframes()) for w in wavs]
# here's efficient numpy conversion of the raw byte buffers
# '<i2' is a little-endian two-byte integer.
samples = [np.frombuffer(f, dtype='<i2') for f in frames]
samples = [samp.astype(np.float64) for samp in samples]
# mix as much as possible
n = min(map(len, samples))
mix = samples[0][:n] + samples[1][:n]
# Save the result
mix_wav = wave.open("./mix.wav", 'w')
# before saving, we want to convert back to '<i2' bytes:

Simple Audio Processing in Python With Pydub - Better , Simple Audio Processing in Python With Pydub. Filter, mix, load, and save audio in Python Mixing audio from two different audio files. will bring everything together by applying pan, filter, and reverse effects to the audio. How do I merge 2 sound files. I am trying to manipulate sounds in JES, but I cannot seem to merge the sounds so they are on top of each other (both playing at the same time. This is the code I have so far:

this is very dependent of the format these are in. Here's an example of how to do it assuming 2 byte wide, little-endian samples:

import wave

w1 = wave.open("/path/to/wav/1")
w2 = wave.open("/path/to/wav/2")

#get samples formatted as a string.
samples1 = w1.readframes(w1.getnframes())
samples2 = w2.readframes(w2.getnframes())

#takes every 2 bytes and groups them together as 1 sample. ("123456" -> ["12", "34", "56"])
samples1 = [samples1[i:i+2] for i in xrange(0, len(samples1), 2)]
samples2 = [samples2[i:i+2] for i in xrange(0, len(samples2), 2)]

#convert samples from strings to ints
def bin_to_int(bin):
    as_int = 0
    for char in bin[::-1]: #iterate over each char in reverse (because little-endian)
        #get the integer value of char and assign to the lowest byte of as_int, shifting the rest up
        as_int <<= 8
        as_int += ord(char) 
    return as_int

samples1 = [bin_to_int(s) for s in samples1] #['\x04\x08'] -> [0x0804]
samples2 = [bin_to_int(s) for s in samples2]

#average the samples:
samples_avg = [(s1+s2)/2 for (s1, s2) in zip(samples1, samples2)]

And now all that's left to do is convert samples_avg back to a binary string and write that to a file using wave.writeframes. That's just the inverse of what we just did, so it shouldn't be too hard to figure out. For your int_to_bin function, you'll probably what to make use of the function chr(code), which returns the character with the character code of code (opposite of ord)

How to join wav audio files using python, You will learn to join wav audio files using python and generate a combined audio file. Audio files needed for this tutorial are: 1. A welcome.wav file for adding it in  def combine_audio(vidname, audname, outname, fps=25): import moviepy.editor as mpe my_clip = mpe.VideoFileClip(vidname) audio_background = mpe.AudioFileClip(audname) final_clip = my_clip.set_audio(audio_background) final_clip.write_videofile(outname,fps=fps)


import librosa
import IPython as ip

y1, sample_rate1 = librosa.load(audio1, mono=True)
y2, sample_rate2 = librosa.load(audio2, mono=True)

librosa.display.waveplot((y1+y2)/2, sr=int((sample_rate1+sample_rate2)/2))

ip.display.Audio((y1+y2)/2, rate=int((sample_rate1+sample_rate2)/2))

sox.combine, #!/usr/bin/env python # -*- coding: utf-8 -*- ''' Python wrapper around the SoX library. Class which allows multiple files to be combined to create an output file, List of paths to input audio files. combine_type : str Input file combining method. First we create 44KHz signal and save to sound.wav Next Read wave file and save signal to text file Then create three variations of input signal to test overlay. Original signal has dtype int16 Then we create three audio segments then mix/overlay as above. wav signal data is stored in test.txt. Working Modified Code

Mixer – Mixes one or more audio samples together, Mixer mixes multiple samples into one sample. Playing a wave file from flash: WaveFile(open("cplay-5.1-16bit-16khz.wav", "rb")) drum = audioio. file_list = '|'.join(_ for _ in tracks) # Generate list of dictionaries containing the file list and output filemame self.batches.append({ 'file_list': file_list, 'outfile': outfile }) def combine_audio(self, batch): ''' Input: single dictionary containing a string formatted file list for each folder and output filename.

How To Merge Multiple Audio Files Into One, When you merge audio files, you're combining them so multiple files will exist as a single audio file. There are both online audio joining sites  Mixing an audio file with a noise file at any Signal-to-Noise Ratio Installation. Python3.5; MacOS; Library. argparse; array; math; numpy; random; wave; File format. To use this code, the format of source waveforms is as follows. 16-bit PCM; 1 channel; Additionally, the sampling rate of a clean file and that of noise file are supposed to be the

How to merge two audio files? : learnpython, I'm trying to develop a text-to-speech system using python for my mother tongue (​Kannada) and would like to know how to append two audio files. The two audio  Stack Overflow Public questions and answers; combine multiple text files into one text file using python [duplicate] Combine two text files with powershell. 1.

  • Shouldn't you assert len(data1) == len(data2) too? And you could also use scipy to read a wave file: from scipy.io import wavfile and then fs, data = wavfile.read("file.wav").
  • Thanks for the code.I will look into it a little more and see how it works out.
  • Why Average of samples not Max? As far as I understand you can normally hear the loudest amplitude at given time
  • @EvaldsUrtans Generally "mixing two audio files" would mean simulating two speakers that are as close to eachother as possible, one playing the first audio clip and the other playing the second. Sound is a pressure wave, and when you combine two pressure waves like this, you get a single pressure wave that is the sum of each. So in the digital domain, the best approximation to "mixing audio" is to sum each sample. In this case, we sum them and then divide by two so that the new waveform can be represented in the same domain as the sources (i.e. it doesn't clip).
  • @Ponkadoodle very interesting explanation thank you! At the same time interesting that probably pressure waves sum only if they resonate, right? So mean might not accurately mux audio files