<jupyter_start><jupyter_text><jupyter_code>!pip install autoplot
import autoplot as ap
org= ap.javaaddpath( 'http://autoplot.org/latest/autoplot.jar'  )
apds = org.autoplot.idlsupport.APDataSet()
if apds.loadDataSet( 'http://www.wavsource.com/snds_2018-06-03_5106726768923853/animals/horse.wav' ): print( 'fail to read' )
print( apds.toString() ) 
epoch= ap.to_ndarray( apds, 'ds_1' )
horse= ap.to_ndarray( apds, 'ds_0' )
from matplotlib import pyplot as plt
plt.plot(epoch,horse)
plt.show()

ep1= epoch / ( 1+1/12. )
ep2= epoch / ( 1+2/12. )
ep3= epoch / ( 1+3/12. )

from IPython import display
display.Audio( horse, rate=16000 )<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15582450832072617, 'fraction_numerical': 0.06959152798789713, 'mean_word_length': 5.0181818181818185, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '26165', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 310, 'n_tokens_neox': 283, 'n_words': 54, 'path': 'moredemos/autoplot_sound.ipynb', 'repo_name': 'autoplot/python', 'size': '661'}