playground.py

import clean_noise
import fileOI
import audio_manipulate


dataset = fileOI.get_all_file_path('./sample_dataset2', 'wav')

# for i in range(10):
#     data, _ = fileOI.read_audio_file(dataset[i], '')
#
#     filename = fileOI.get_pure_filename(dataset[i])
#     filepath = fileOI.get_pure_filepath(dataset[i])
#
#     clean_data = clean_noise.noise_reduction(data)
#     trim_data = clean_noise.trim_silence(clean_data)
#
#     fileOI.save_audio_file('{}/{}-{}'.format(filepath, filename, 'tr'), clean_data, 'wav')

for idx, i in enumerate(dataset):
    print(idx, i)
    source, sr = fileOI.read_audio_file(i, '')
    sections = audio_manipulate.split_audio(source)
    audio_manipulate.split_source_to_wav(source=source, sections=sections, root_filepath=i,
                                         split_filepath='./split_wav')

# source, sr = fileOI.read_audio_file(dataset[8], '')
# sections = audio_manipulate.split_audio(source)
# audio_manipulate.split_source_to_wav(source=source, sections=sections, root_filepath=dataset[8],
#                                      split_filepath='./split_wav')