Metadata-Version: 2.1
Name: AudioStudio
Version: 0.0.1
Summary: A library for working with audio data
Home-page: https://github.com/danrabayda/AudioStudio
Author: Daniel Rabayda
Author-email: rabaydadp@gmail.com
License: MIT
Description: # StarScreamLib
        ### A pip package that makes quick work of converting time-series data into spectrograms as well as playable audio
        
        
        Here is a list of the functions as well as explanations for each in a shortened list:
        
        flat(bl)
        flattens a list of lists into just a list
        
        i_str(i)
        makes 0,1,2,...13,14,etc into 00,01,02,...,13,14,etc for file saving purposes
        
        reduce_seq(s,xlr)
        takes in a sequence and reduces it to a 1d list only if it is 2d and based on the LRB parameter
        
        normalize_seq(s)
        normalizes sequence s to 0 to 1
        
        xlr(lrb)
        used to read the left or right audio parameter quickly, options for lrb are "L", "R", and any other string like "B" which will default to both channels
        
        pydub_to_np(audio, r_smp=44100)
        Converts pydub audio segment into np.float32 of shape [duration_in_seconds*sample_rate, channels], where each value is in range [-1.0, 1.0]. Returns audio_np_array
        
        sequence_to_spectrogram(s,r_smp,v_res,f_len,t_len)
        takes in a sequence (1 ch) and ouputs it as a log spectrogram in greyscale (1 ch)
        
        norm_seq_to_spg(s,r_smp,v_res,f_len,t_len,filt)
        takes in raw sample data s, normalizes it, creates a spectrogram from it, then returns a normalized spectrogram
        
        normalize_spectrogram(sp)
        normalizes a spectrogram sp to a range 0 to 1
        
        quick_spectrogram(s,r_smp=44100,v_res=2**9)
        uses default values for everything so you only need to give it a segment of samples
        
        quick_sound(s,r_smp=44100)
        make an Audiosegment from a sequence
        
        quick_plot(sp)
        make a quick plot using default values
        
        quick_example(s,r_smp=44100)
        does a quickplot for sequence s and shows a play and save button to play or save the audio of that sequence
        
        decimate(s,new_rate,old_rate=44100)
        rough downsampling from one freq to a new lower one, I made this becasue scipy.signal.decimate only does integer downsampling, mine is general
        
        vdir(directory)
        verify a directory exists, if not make it
        
        vdirs(directory1,directory2)
        just does vdir(os.path.join(directory1,directory2))
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
