audioread | Core Audio + MAD + FFmpeg ) audio decoding | Speech library
kandi X-RAY | audioread Summary
kandi X-RAY | audioread Summary
cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python
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Top functions reviewed by kandi - BETA
- Open an audio file
- Return a list of available backends
- Check if GIT is available
- Run multiple commands
- Return True if the current process is available
- Return True if MAD is available
- Return True if audio is available
- Setup the client format
- Get the file format
- Set the client format
- Raise Mac error
- Parse output from stderr
- Decode an audio file
- Parse information
- Check if the file is supported
- Close the file
- The number of frames in the file
- Return an ExtAudioFile object
- Return the number of characters in a sequence of characters
- Decodes a audio file
audioread Key Features
audioread Examples and Code Snippets
Community Discussions
Trending Discussions on audioread
QUESTION
I'm trying to load a decent amount of audio segments in librosa (about 173K) all <15 sec for the most part and when I run my function, within 30 minutes my RAM is at 90%+ capacity used.. eventually crashing my computer completely.
The segments are .wav files and I've tried soundfile and audioread as standalone but same result. I also tried different iterator methods which doesn't work either. I've ran diagnostics on my RAM and everything is fine. Am I simply trying to loop through to many audio files at once? I would imagine that since my files are extremely small that this shouldn't be a problem. I've had no issues with memory leakage in the past or running large model job batches.
RAM: 16.0 GB Disk space for cache: 2TB of space
Tried this:
...ANSWER
Answered 2021-May-19 at 08:52Each loaded audio file will take up memory. This is roughly samplewidth_bytes * channels * samplerate * seconds_per_sample * number_of_samples bytes.
Using 16 kHz samplerate, loaded to 64 bit float, 1 channel, up to 15 seconds, and 173k audio files this is: (8*1*16000*15*173000)/1e9 = 332 GB.
So it will not fit in 16 GB of RAM.
This is not a memory leak issue, just that you are trying to load too much data at a time. Process the audio files one by one or in batches of up to 1-2k files instead.
QUESTION
I would like to smooth an Impulse Response audio file. The FFT of the file shows that it is very spikey. I would like to smooth out the audio file, not just its plot, so that I have a smoother IR file. I have found a function that shows the FFT plot smoothed out. How could this smoothing be applied to the actual FFT data and not just to the plot of it?
...ANSWER
Answered 2021-Jan-14 at 14:53I think I found it. Since the FFT of the audio file (which is real numbers) is symmetric, with the same real part on both sides but opposite imaginary part, I thought of doing this:
- take the FFT, keep the half of it, and apply the smoothing function without converting the magnitudes to dB
- then make a copy of that smoothed FFT, and invert just the imaginary part
- combine the two parts so that I have the same symmetric FFT as I had in the beginning, but now it is smoothed
- apply inverse FFT to this and take the real part and write it to file.
Here is the code:
QUESTION
I'm trying to use TensorFlow Lite for a voice recognition project using Jupyter notebook but when I try to do a "import librosa" (using commands found here: https://github.com/ShawnHymel/tflite-speech-recognition/blob/master/01-speech-commands-mfcc-extraction.ipynb) I keep getting this error:
...ANSWER
Answered 2020-Dec-15 at 19:51Install sndfile for your operating system. On CentOS that should be yum install libsndfile.
QUESTION
The objective is to deploy an audio prediction ML model on Heroku, which uses librosa library from python.
The app.py file uses librosa library to extract features from the audio.
When I try to deploy on Heroku, I get an error as shown below.
...ANSWER
Answered 2020-Jun-14 at 10:18You need to install sndfile as a package in your operating system. This answer documents how to do that on Heroku.
QUESTION
I am currently trying to make a cog for a Discord bot in Python 3 that, when running, plays a specific audio file when someone joins a specific Discord voice channel.
My ProblemI already have the code for my project(credit: Tabulate), but I don't know how to
- Convert it to a cog, and
- Make it work for a specific voice channel, and not every one in the Discord server.
Here's my code:
...ANSWER
Answered 2020-Nov-19 at 05:42Here are some of your mistakes:
- Use
asyncio.sleep()instead oftime.sleep() - You forgot to pass
selfas the first argument
Below is the revised code:
QUESTION
I am trying to write to wav by taking data from the microphone input, and other headers, and putting that into the wav file. I do that, but it still says corrupted file. One note about the code is that in the struct with the headers, it's not in the correct order. In the WriteToWav function I entered it in the correct order based on the chunk and sub chunks. Here's the code:
...ANSWER
Answered 2020-Nov-26 at 20:18So the issue was that I had to keep in mind formatting and Endianess. Instead of using << or .write, you have to have a precise format for it. A way to write to the file in the correct format is to use the following function I used below, and enter the same WAV headers.
QUESTION
I get class:int16 type data using "audioread(filename, 'native')", which is a data IQIQIQ... stream. Then, I use complex(I, Q) to form the complex data samples. When I do abs(complex(I, Q)) to get the sample amplitude, I get an error: "Error: using abs Complex integers are not supported". Any advice on how to solve this problem?
...ANSWER
Answered 2020-Nov-15 at 05:55Casting complex(I,Q) as double before calling abs() may be an option. Then the result can be re-casted as type int16. I believe the abs() function expects a double, complex double or single as input to compute the magnitude. Since the data is complex the only types allowed are singles and doubles. Assuming you're looking for the magnitude of the complex data this may suffice. If you're looking to just take the absolute of the components calling abs() on channels/vectors I and Q before calling complex() may be an option.
single
QUESTION
I made a command in my discord bot that plays an audio file when the command G!tutturu is sent. It works fine when you're in a voice channel, but when you're not instead of sending user is not in a channel, I get an error. I know what the error means, but can't find out how to get around it.
ANSWER
Answered 2020-Nov-06 at 20:15The issue is here:
QUESTION
I am trying to install librosa on Anaconda environment, I created a completely new and installed librosa, however I keep getting this problem, even when I re-install cffi package, audioread and others. I am not sure how I can fix this problem.
...ANSWER
Answered 2020-Sep-24 at 12:54I don't know the real fix for this but deleting that code from soundfile.py solved it for me.
Just delete the if loop at line 1170 and modify it to:
QUESTION
I've just started learning to code for a few months, so I'm sorry if I'm not clear on how I ask my question:
I have different .wav files of synthesized syllables. I have to concatenate them randomly, but they can't be next to each other so they can't be immediately repeated one after another.
Right now I'm not even sure on how to do the first step which is reading the files. I used:
...ANSWER
Answered 2020-Oct-28 at 07:04This may be an implementation. It, unfortunately, uses a loop that may or may not fit your needs. Within the loop, each audio file .wav is read and concatenated to a complete song called in this example Audio_File. The function randperm() is used to create a random array that can be used to index the structure and concatenate the audio files .wav in random order. In this example I use the variable song which can be representative of syllable.
No regard to duration, only concatenates the .wav files randomly.
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Install audioread
You can use audioread like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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