Spaces:
Running
on
Zero
Running
on
Zero
| import math | |
| import os | |
| import unittest | |
| from dataclasses import dataclass | |
| import librosa | |
| import numpy as np | |
| from coqpit import Coqpit | |
| from tests import get_tests_input_path, get_tests_output_path, get_tests_path | |
| from TTS.utils.audio import numpy_transforms as np_transforms | |
| TESTS_PATH = get_tests_path() | |
| OUT_PATH = os.path.join(get_tests_output_path(), "audio_tests") | |
| WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav") | |
| os.makedirs(OUT_PATH, exist_ok=True) | |
| # pylint: disable=no-self-use | |
| class TestNumpyTransforms(unittest.TestCase): | |
| def setUp(self) -> None: | |
| class AudioConfig(Coqpit): | |
| sample_rate: int = 22050 | |
| fft_size: int = 1024 | |
| num_mels: int = 256 | |
| mel_fmax: int = 1800 | |
| mel_fmin: int = 0 | |
| hop_length: int = 256 | |
| win_length: int = 1024 | |
| pitch_fmax: int = 640 | |
| pitch_fmin: int = 1 | |
| trim_db: int = -1 | |
| min_silence_sec: float = 0.01 | |
| gain: float = 1.0 | |
| base: float = 10.0 | |
| self.config = AudioConfig() | |
| self.sample_wav, _ = librosa.load(WAV_FILE, sr=self.config.sample_rate) | |
| def test_build_mel_basis(self): | |
| """Check if the mel basis is correctly built""" | |
| print(" > Testing mel basis building.") | |
| mel_basis = np_transforms.build_mel_basis(**self.config) | |
| self.assertEqual(mel_basis.shape, (self.config.num_mels, self.config.fft_size // 2 + 1)) | |
| def test_millisec_to_length(self): | |
| """Check if the conversion from milliseconds to length is correct""" | |
| print(" > Testing millisec to length conversion.") | |
| win_len, hop_len = np_transforms.millisec_to_length( | |
| frame_length_ms=1000, frame_shift_ms=12.5, sample_rate=self.config.sample_rate | |
| ) | |
| self.assertEqual(hop_len, int(12.5 / 1000.0 * self.config.sample_rate)) | |
| self.assertEqual(win_len, self.config.sample_rate) | |
| def test_amplitude_db_conversion(self): | |
| di = np.random.rand(11) | |
| o1 = np_transforms.amp_to_db(x=di, gain=1.0, base=10) | |
| o2 = np_transforms.db_to_amp(x=o1, gain=1.0, base=10) | |
| np.testing.assert_almost_equal(di, o2, decimal=5) | |
| def test_preemphasis_deemphasis(self): | |
| di = np.random.rand(11) | |
| o1 = np_transforms.preemphasis(x=di, coeff=0.95) | |
| o2 = np_transforms.deemphasis(x=o1, coeff=0.95) | |
| np.testing.assert_almost_equal(di, o2, decimal=5) | |
| def test_spec_to_mel(self): | |
| mel_basis = np_transforms.build_mel_basis(**self.config) | |
| spec = np.random.rand(self.config.fft_size // 2 + 1, 20) # [C, T] | |
| mel = np_transforms.spec_to_mel(spec=spec, mel_basis=mel_basis) | |
| self.assertEqual(mel.shape, (self.config.num_mels, 20)) | |
| def mel_to_spec(self): | |
| mel_basis = np_transforms.build_mel_basis(**self.config) | |
| mel = np.random.rand(self.config.num_mels, 20) # [C, T] | |
| spec = np_transforms.mel_to_spec(mel=mel, mel_basis=mel_basis) | |
| self.assertEqual(spec.shape, (self.config.fft_size // 2 + 1, 20)) | |
| def test_wav_to_spec(self): | |
| spec = np_transforms.wav_to_spec(wav=self.sample_wav, **self.config) | |
| self.assertEqual( | |
| spec.shape, (self.config.fft_size // 2 + 1, math.ceil(self.sample_wav.shape[0] / self.config.hop_length)) | |
| ) | |
| def test_wav_to_mel(self): | |
| mel_basis = np_transforms.build_mel_basis(**self.config) | |
| mel = np_transforms.wav_to_mel(wav=self.sample_wav, mel_basis=mel_basis, **self.config) | |
| self.assertEqual( | |
| mel.shape, (self.config.num_mels, math.ceil(self.sample_wav.shape[0] / self.config.hop_length)) | |
| ) | |
| def test_compute_f0(self): | |
| pitch = np_transforms.compute_f0(x=self.sample_wav, **self.config) | |
| mel_basis = np_transforms.build_mel_basis(**self.config) | |
| mel = np_transforms.wav_to_mel(wav=self.sample_wav, mel_basis=mel_basis, **self.config) | |
| assert pitch.shape[0] == mel.shape[1] | |
| def test_load_wav(self): | |
| wav = np_transforms.load_wav(filename=WAV_FILE, resample=False, sample_rate=22050) | |
| wav_resample = np_transforms.load_wav(filename=WAV_FILE, resample=True, sample_rate=16000) | |
| self.assertEqual(wav.shape, (self.sample_wav.shape[0],)) | |
| self.assertNotEqual(wav_resample.shape, (self.sample_wav.shape[0],)) | |