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Running
on
Zero
# Copyright (c) 2021 Mobvoi Inc. (authors: Binbin Zhang) | |
# 2024 Alibaba Inc (authors: Xiang Lyu) | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
import json | |
import torchaudio | |
import logging | |
logging.getLogger('matplotlib').setLevel(logging.WARNING) | |
logging.basicConfig(level=logging.DEBUG, | |
format='%(asctime)s %(levelname)s %(message)s') | |
def read_lists(list_file): | |
lists = [] | |
with open(list_file, 'r', encoding='utf8') as fin: | |
for line in fin: | |
lists.append(line.strip()) | |
return lists | |
def read_json_lists(list_file): | |
lists = read_lists(list_file) | |
results = {} | |
for fn in lists: | |
with open(fn, 'r', encoding='utf8') as fin: | |
results.update(json.load(fin)) | |
return results | |
def load_wav(wav, target_sr): | |
speech, sample_rate = torchaudio.load(wav) | |
speech = speech.mean(dim=0, keepdim=True) | |
if sample_rate != target_sr: | |
assert sample_rate > target_sr, 'wav sample rate {} must be greater than {}'.format(sample_rate, target_sr) | |
speech = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=target_sr)(speech) | |
return speech | |
def speed_change(waveform, sample_rate, speed_factor: str): | |
effects = [ | |
["tempo", speed_factor], # speed_factor | |
["rate", f"{sample_rate}"] | |
] | |
augmented_waveform, new_sample_rate = torchaudio.sox_effects.apply_effects_tensor( | |
waveform, | |
sample_rate, | |
effects | |
) | |
return augmented_waveform, new_sample_rate | |