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- Read and write WAV files using Python (wave)
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By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I tried just changing the wav files framerate to by using setframerate function but that just slows down the entire recording. How can I just downsample the audio file to 16kHz and maintain the same length of the audio? Pro-tip: when installing Librosa on Anaconda, you need to install ffmpeg as well, so. Thank you all for your answers. I found a solution already and it works very nice. Here is the whole function. You can use resample in scipy. It's a bit of a headache to do, because there's some type conversion to be done between the bytestring native to python and the arrays needed in scipy. There's another headache, because in the wave module in Python, there is no way to tell if the data is signed or not only if it's 8 or 16 bits. It might should work for both, but I haven't tested it. Here's a small program which converts unsigned 8 and 16 bits mono from If you have stereo, or use other formats, it shouldn't be that difficult to adapt. Never got around to use the command line arguments. To downsample also called decimate your signal it means to reduce the sampling rateor upsample increase the sampling rate you need to interpolate between your data. The idea is that you need to somehow draw a curve between your points, and then take values from this curve at the new sampling rate. This is because you want to know the value of the sound wave at some time that wasn't sampled, so you have to guess this value by one way or an other. But this won't answer your question. See the picture below where you have a curve sampled at two different scales.## SoundFile 0.10.3.post1

By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I'm looking for a way to find out the duration of a audio file. So far i had a look at python wave library, mutagenpymediapymad i was not able to get the duration of the wav file. Pymad gave me the duration but its not consistent. If you play the resultant file in an audio player, you'll find that is 40 seconds in duration. If you run the code above it also computes the duration to be 40 seconds. So I believe the number of frames is not influenced by the number of channels and the formula above is correct. To install ffmpeg follow this link. I was trying to get the length of different format of an audio file other than '. How are we doing? Please help us improve Stack Overflow. Take our short survey. Learn more. Asked 8 years, 5 months ago. Active 3 days ago. Viewed 54k times. Thanks in advance. Pannu Pannu 1, 2 2 gold badges 17 17 silver badges 24 24 bronze badges. Active Oldest Votes. This is not quite correct The formula posted in my answer computes the duration to be 40s, which jibes with what I see when I play the. So it appears to me that the number of frames does not double when you use 2-channels, and my original formula is correct. The contextlib stuff is not needed any more. From version 2. Lewistrick: I see wave. That change affects Python3. As far as I can tell, the 2. Sorry, my mistake. This was about opennot wave. SoundFile 'cd. Dave C Dave C 7 7 silver badges 11 11 bronze badges.

## Wave 0.0.2

By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I want to simulate a propagating wave with absorption and reflection on some bodies in three dimensional space. I want to do it with python. Should I use numpy? Are there some special libraries I should use? How can I simulate the wave? Can I use the wave equation? But what if I have a reflection? Is there a better method? Should I do it with vectors? But when the ray diverge the intensity gets lower. If you do any computationally intensive numerical simulation in Python, you should definitely use NumPy. The most general algorithm to simulate an electromagnetic wave in arbitrarily-shaped materials is the finite-difference time domain method FDTD. It solves the wave equation, one time-step at a time, on a 3-D lattice. It is quite complicated to program yourself, though, and you are probably better off using a dedicated package such as Meep. You could also approach the problem by assuming all your waves are plane waves, then you could use vectors and the Fresnel equations. Or if you want to model Gaussian beams being transmitted and reflected from flat or curved surfaces, you could use the ABCD matrix formalism also known as ray transfer matrices. This takes into account the divergence of beams. It'll save you the trouble of building a lot of your matrix conditioners and solvers from scratch. Here are some examples. I recommend you use my project GarlicSim as the framework in which you build the simulation. You will still need to write your algorithm yourself, probably in Numpy, but GarlicSim may save you a bunch of boilerplate and allow you to explore your simulation results in a flexible way, similar to version control systems. Don't use Python. I've tried using it for computationally expensive things and it just wasn't made for that. How are we doing? Please help us improve Stack Overflow. Take our short survey. Learn more. Wave Simulation with Python Ask Question. Asked 9 years, 2 months ago. Active 8 years, 2 months ago. Viewed 14k times. Thanks in advance.

## Read and write WAV files using Python (wave)

Get x values of the sine wave. Amplitude of the sine wave is sine of a variable like time. Plot a sine wave using time and amplitude obtained for the sine wave. Give a title for the sine wave plot. Give x axis label for the sine wave plot. Give y axis label for the sine wave plot. Display the sine wave. Toggle navigation Pythontic. Sine waves have the shape of sine curve. The X-axis of the sine curve represents the time. The Y-axis of the sine curve represents the amplitude of the sine wave. The amplitude of the sine wave at any point in Y is proportional to the sine of a variable. A cycle of sine wave is complete when the position of the sine wave starts from a position and comes to the same position after attaining its maximum and minimum amplitude during its course. The time taken to complete one cycle is called the period of the sine wave. The frequency of the sine wave is given by number of cycles per second. The distance covered by a cycle measures the wavelength of the sine wave. Examples of sine waves include the oscillations produced by the suspended weight on spring and the alternating current. NumPy has the sin function, which takes an array of values and provides the sine value for them. Using the numpy sin function and the matplotlib plot a sine wave can be drawn. Example: import numpy as np import matplotlib.

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