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generate.py
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import numpy as np
from jobs.transcoder import Transcoder
from jobs.file_remover import FileRemover
from jobs.suffix_remover import SuffixRemover
from jobs.normalizer import Normalizer
from jobs.splitter import Splitter
from jobs.speed_deformer import SpeedDeformer
from jobs.pitch_deformer import PitchDeformer
from jobs.noise_deformer import NoiseDeformer
from jobs.noise_downloader import NoiseDownloader
from jobs.speech_downloader import SpeechDownloader
from jobs.pipeline import Pipeline
SUFFIXES = [Transcoder.SUFFIX, Normalizer.SUFFIX]
# 8 speeds between (0.8, 1.2); remove the speed with value 1
SPEEDS = np.delete(np.linspace(0.8, 1.2, 9), 4)
# 8 semitones between (-200, 200); remove the semitone with value 0
SEMITONES = np.delete(np.linspace(-200, 200, 9), 4)
OFFSET_IN_SEC = 30
FRAGMENT_DURATION_IN_SEC = 10
NOISE_DURATION_IN_SEC = 30
TRAIN_DURATION_IN_SEC = 5 * 60
TEST_DURATION_IN_SEC = 15 * 60
pipeline = Pipeline(jobs=[
# prepare noises
NoiseDownloader(
output_files_key='noise_downloader_files',
output_volumes_key='noise_downloader_volumes',
data='./noise.csv',
download_directory='./noises'),
Transcoder(
input_files_key='noise_downloader_files',
output_files_key='noise_transcoder_files',
codec='flac'),
Normalizer(
input_files_key='noise_transcoder_files',
input_volumes_key='noise_downloader_volumes',
output_files_key='noise_normalizer_files',
duration_in_sec=NOISE_DURATION_IN_SEC),
Splitter(
input_files_key='noise_normalizer_files',
output_files_key='noise_splitter_files',
duration_in_sec=NOISE_DURATION_IN_SEC,
fragment_duration_in_sec=FRAGMENT_DURATION_IN_SEC),
SuffixRemover(
input_files_key='noise_splitter_files',
suffixes=SUFFIXES),
FileRemover(input_files_key='noise_transcoder_files'),
FileRemover(input_files_key='noise_normalizer_files'),
FileRemover(input_files_key='noise_downloader_files'),
# prepare train
SpeechDownloader(
output_files_key='train_speech_downloader_files',
data='speech.csv',
group='train',
download_directory='./train'),
Transcoder(
input_files_key='train_speech_downloader_files',
output_files_key='train_transcoder_files',
codec='flac'),
Normalizer(
input_files_key='train_transcoder_files',
output_files_key='train_normalizer_files',
offset_in_sec=OFFSET_IN_SEC,
duration_in_sec=TRAIN_DURATION_IN_SEC),
Splitter(
input_files_key='train_normalizer_files',
output_files_key='train_splitter_files',
duration_in_sec=TRAIN_DURATION_IN_SEC,
fragment_duration_in_sec=FRAGMENT_DURATION_IN_SEC),
SpeedDeformer(
input_files_key='train_splitter_files',
output_files_key='train_speed_deformer_files',
speeds=SPEEDS,
fragment_duration_in_sec=FRAGMENT_DURATION_IN_SEC),
PitchDeformer(
input_files_key='train_splitter_files',
output_files_key='train_pitch_deformer_files',
semitones=SEMITONES),
NoiseDeformer(
input_files_key='train_splitter_files',
output_files_key='train_noise_deformer_files',
input_noise_files_key='noise_splitter_files'),
SuffixRemover(input_files_key='train_splitter_files', suffixes=SUFFIXES),
SuffixRemover(
input_files_key='train_speed_deformer_files',
suffixes=SUFFIXES),
SuffixRemover(
input_files_key='train_pitch_deformer_files',
suffixes=SUFFIXES),
SuffixRemover(
input_files_key='train_noise_deformer_files',
suffixes=SUFFIXES),
FileRemover(input_files_key='train_transcoder_files'),
FileRemover(input_files_key='train_normalizer_files'),
FileRemover(input_files_key='train_speech_downloader_files'),
# prepare test
SpeechDownloader(
output_files_key='test_speech_downloader_files',
data='speech.csv',
group='test',
download_directory='./test'),
Transcoder(
input_files_key='test_speech_downloader_files',
output_files_key='test_transcoder_files',
codec='flac'),
Normalizer(
input_files_key='test_transcoder_files',
output_files_key='test_normalizer_files',
offset_in_sec=OFFSET_IN_SEC,
duration_in_sec=TEST_DURATION_IN_SEC),
Splitter(
input_files_key='test_normalizer_files',
output_files_key='test_splitter_files',
duration_in_sec=TEST_DURATION_IN_SEC,
fragment_duration_in_sec=FRAGMENT_DURATION_IN_SEC),
SuffixRemover(input_files_key='test_splitter_files', suffixes=SUFFIXES),
FileRemover(input_files_key='test_transcoder_files'),
FileRemover(input_files_key='test_normalizer_files'),
FileRemover(input_files_key='test_speech_downloader_files')
])
pipeline.execute()