| import os |
| import tensorflow as tf |
|
|
| import soundfile as sf |
| from librosa.core import load |
|
|
| from tests import get_tests_path, get_tests_input_path |
| from TTS.vocoder.tf.layers.pqmf import PQMF |
|
|
|
|
| TESTS_PATH = get_tests_path() |
| WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav") |
|
|
|
|
| def test_pqmf(): |
| w, sr = load(WAV_FILE) |
|
|
| layer = PQMF(N=4, taps=62, cutoff=0.15, beta=9.0) |
| w, sr = load(WAV_FILE) |
| w2 = tf.convert_to_tensor(w[None, None, :]) |
| b2 = layer.analysis(w2) |
| w2_ = layer.synthesis(b2) |
| w2_ = w2.numpy() |
|
|
| print(w2_.max()) |
| print(w2_.min()) |
| print(w2_.mean()) |
| sf.write('tf_pqmf_output.wav', w2_.flatten(), sr) |
|
|