wave

I'm aware of the following question: How to create a pydub AudioSegment using an numpy array? My question is the right opposite. If I have a pydub AudioSegment how can I convert it to a numpy array? I would like to use scipy filters and so on. It is not very clear to me what is the internal structure of the AudioSegment raw data. Pydub has a facility for getting the audio data as an array of samples , it is an array.array instance (not a numpy array) but you should be able to convert it to a numpy array relatively easily: from pydub import AudioSegment sound = AudioSegment.from_file("sound1

I'm trying to programmatically analyse wav files with the audioop module of Python 3.5.1 to get channel, duration, sample rate, volumes etc. however I can find no documentation to describe how to convert a wav file to the 'fragment' parameter which must be a bytes-like object. Can anybody help? file.read() returns a bytes object, so if you're just trying to get the contents of a file as bytes , something like the following would suffice: with open(filename, 'rb') as fd: contents = fd.read() However, since you're working with audioop , what you need is raw audio data , not raw file contents.

I have been trying to plot a plane wave equation in Matlab. I am trying to plot the real part of, $(1/R)E^i(kR+wT)$ i.e. $(1/R)cos(kR+wT)$. So I used the following code in Matlab (for a single instant, say t=5), x=-5:0.1:5; y=-5:0.1:5; t=5; w=1.3; k=1.3; [X,Y]=meshgrid(x,y); R=(X.^2+Y.^2)^1/2; u=20*cos(k*R+w*t); surf(X,Y,u); When I run this code, I get the following surface plot: This looks fine I think, as one would expect. But if I increase the wavenumber and angular frequency factors to 15, I get the following: It appears to be an interference pattern but I have no idea why I am getting

I have created the header for the wave file, but the wave file which is created does not play. I have used this https://ccrma.stanford.edu/courses/422/projects/WaveFormat/ as a reference to create the wave header. public void WriteWaveFileHeader() throws IOException { File f = new File(Environment.getExternalStorageDirectory().getAbsolutePath()+"/aaa.wav"); f.createNewFile(); FileOutputStream fos = new FileOutputStream(f); long longSampleRate=44100; int channels= AudioFormat.CHANNEL_IN_MONO; long totalAudioLen=fos.getChannel().size(); long byteRate=(16 * 44100)/8; long totalDataLen

I have to read the data from just one channel in a stereo wave file in Python. For this I tried it with scipy.io: import scipy.io.wavfile as wf import numpy def read(path): data = wf.read(path) for frame in data[1]: data = numpy.append(data, frame[0]) return data But this code is very slow, especially if I have to work with longer files. So does anybody know a faster way to do this? I thought about the standard wave module by using wave.readframes() , but how are the frames stored there? scipy.io.wavfile.read returns the tuple (rate, data) . If the file is stereo, data is a numpy array with

How can I remove the silence from the beginning and the end of wave files with PyDub? I guess I should access segment by segment and check whether it's silent or not (but I'm not able to do it) :/ e.g. I have a wave file with silence at the beginning, end, or both (like below) and I want to remove the silence at the beginning and at the end of the file: e.g. I want to import it sound = AudioSegment.from_wav(inputfile) cycle for every sample of sound to check whether it's silent and mark the last silent sample since when the waves starts (marker1), then get to the last sample before the wave