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"""Nsynth Database.""" |
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import os |
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import json |
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import textwrap |
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import datasets |
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import itertools |
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import typing as tp |
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from pathlib import Path |
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from sklearn.model_selection import train_test_split |
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SAMPLE_RATE = 16_000 |
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_TRAIN_FILENAME = 'nsynth-train.jsonwav.tar.gz' |
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_VAL_FILENAME = 'nsynth-valid.jsonwav.tar.gz' |
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_TEST_FILENAME = 'nsynth-test.jsonwav.tar.gz' |
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_INSTRUMENT_CLASSES = ['bass', 'brass', 'flute', 'guitar', 'keyboard', 'mallet', 'organ', 'reed', 'string', 'synth_lead', 'vocal'] |
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class NsynthConfig(datasets.BuilderConfig): |
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"""BuilderConfig for Nsynth.""" |
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def __init__(self, features, **kwargs): |
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super(NsynthConfig, self).__init__(version=datasets.Version("0.0.1", ""), **kwargs) |
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self.features = features |
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class Nsynth(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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NsynthConfig( |
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features=datasets.Features( |
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{ |
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"audio": datasets.Audio(sampling_rate=SAMPLE_RATE), |
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"instrument": datasets.Value("string"), |
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"label": datasets.ClassLabel(names=_INSTRUMENT_CLASSES), |
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} |
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), |
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name="instrument", |
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description='', |
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), |
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NsynthConfig( |
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features=datasets.Features( |
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{ |
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"audio": datasets.Audio(sampling_rate=SAMPLE_RATE), |
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"pitch": datasets.Value("string"), |
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"label": datasets.ClassLabel(names=[str(idx) for idx in range(128)]), |
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} |
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), |
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name="pitch", |
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description='', |
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), |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description="", |
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features=self.config.features, |
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supervised_keys=None, |
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homepage="", |
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citation="", |
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task_templates=None, |
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) |
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def _split_generators(self, dl_manager): |
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dl_paths = dl_manager.extract({ |
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'train': _TRAIN_FILENAME, |
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'validation': _VAL_FILENAME, |
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'test': _TEST_FILENAME, |
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}) |
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return[ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"filepath": dl_paths['train']} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={"filepath": dl_paths['validation']} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={"filepath": dl_paths['test']} |
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), |
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] |
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def _generate_examples(self, filepath): |
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dir_list = os.listdir(filepath) |
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folder_path = os.path.join(filepath, dir_list[0]) |
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examples_path = os.path.join(folder_path, 'examples.json') |
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with open(examples_path) as examples_file: |
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examples = json.load(examples_file) |
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wav_dict = {} |
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audio_path = os.path.join(folder_path, "audio") |
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for filename in os.listdir(audio_path): |
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audio_filename = os.path.join(audio_path, filename) |
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guid = filename.replace('.wav', '') |
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if self.config.name == 'instrument': |
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yield guid, { |
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"id": str(guid), |
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"audio": audio_filename, |
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"instrument": examples[guid]["instrument_family_str"], |
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"label": examples[guid]["instrument_family_str"], |
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} |
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elif self.config.name == 'pitch': |
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yield guid, { |
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"id": str(guid), |
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"audio": audio_filename, |
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"pitch": examples[guid]["pitch"], |
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"label": examples[guid]["pitch"], |
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} |
