Metadata-Version: 2.1
Name: AudioFeaturizer
Version: 2.0.0
Summary: Takes audio as input and returns computed features as a dataframe
Home-page: UNKNOWN
Author: Harish-Natarajan
Author-email: harishnatarajan24@gmail.com
License: MIT
Description: # AudioFeaturizer
        
        AudioFeaturizer is a python package that uses librosa under the hood and extracts features from audio and returns it into a pandas dataframe. 
        It also has a spectrogram generation function which generates spectrogram of the audio file path which is passed. 
        
        
        ## Installation
        
        You can install the AudioFeaturizer from [PyPI](https://pypi.org/project/AudioFeaturizer/):
        
            pip install AudioFeaturizer
        
        The reader is supported on Python 3.7 and above.
        
        
        ## How to Use
        
        For Extracting Features from single file
        ```
        >>> from AudioFeaturizer.audio_featurizer import *
        >>> audio_process(r'D:\PYTHON_FILES\audio-ml\genres\classical\classical.00000.wav')
           chroma_stft      rmse  spectral_centroid  spectral_bandwidth  ...    mfcc17    mfcc18    mfcc19    mfcc20
        0     0.252391  0.036255        1505.299012         1558.952849  ... -0.303796  1.778557  0.890328 -0.837884
        
        [1 rows x 26 columns]
        >>>
        ```
        
        For Displaying Spectrogram
        ```
        from AudioFeaturizer.audio_featurizer import *
        
        spectrogram_plot(r'D:\PYTHON_FILES\audio-ml\genres\classical\classical.00000.wav')
        ```
        
        
        For Processing a list of files
        ```
        In[0]: from AudioFeaturizer.audio_featurizer import audio_process_list
               audio_process_list([r"D:\PYTHON_FILES\audio classification\Man Out Of Town.wav",
                                   r"D:\PYTHON_FILES\audio classification\Trumpet Tune.wav"])
            
        Out[0]: 
           chroma_stft      rmse  spectral_centroid  ...    mfcc18    mfcc19    mfcc20
        0     0.407153  0.201064        2507.575812  ... -2.347450 -5.120735  3.309853
        1     0.276051  0.030480        1467.355071  ... -2.594764 -4.458375  1.309751
        [2 rows x 26 columns]
        
        ```
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Description-Content-Type: text/markdown
