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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from pathlib import Path
import typing as tp
import torch
import torchaudio
def get_white_noise(chs: int = 1, num_frames: int = 1):
wav = torch.randn(chs, num_frames)
return wav
def get_batch_white_noise(bs: int = 1, chs: int = 1, num_frames: int = 1):
wav = torch.randn(bs, chs, num_frames)
return wav
def save_wav(path: str, wav: torch.Tensor, sample_rate: int):
fp = Path(path)
kwargs: tp.Dict[str, tp.Any] = {}
if fp.suffix == '.wav':
kwargs['encoding'] = 'PCM_S'
kwargs['bits_per_sample'] = 16
elif fp.suffix == '.mp3':
kwargs['compression'] = 320
torchaudio.save(str(fp), wav, sample_rate, **kwargs)