I want to convert a numpy array waveform into a wav-like object so that I can upload it to S3 without having to save the waveform to file locally. Imagine I have a numpy array waveform, y, How can I convert this numpy array, y into a wav file-like object to upload to S3 using boto3’s upload_fileobj method? According to
Tag: wave
How to get wave module methods for reading a .wav audio but with a temporary file tempfile.SpooledTemporaryFile obtained from fastAPI post request?
I have a function that receives a .wav audio path directory and return its pcm_data in bytes, sample_rate as int and duration as float. Now I want that the audio file comes from a uploaded audio using POST request with FastAPI, so if I upload a .wav audio using the UploadFile class from fastapi, I get a tempfile.SpooledTemporaryFile, how can
Opening wav from URL in Python
With the Python script shown below I try to play a wav file from the internet but I’m getting the error message OSError: [Errno 22] Invalid argument: ‘https://file-examples-com.github.io/uploads/2017/11/file_example_WAV_1MG.wav’. How can I play a wav file from the internet? Answer You can also get the content of website, store it in a variable, and play it. There is no need to
Using only numpy, is there a way to create a square wave?
I have tried using masks and making lists like x = [0,0.5,0.51,1,1.01], y = [1,1,-1,-1,1] works ofcourse, but is quite tedious and not as nice as i want to make a square wave from x = 0 to 5. Answer You could write a little function like this to populate x and y
How to create a numpy array from a pydub AudioSegment?
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