44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
# Copyright (c) 2025 Zhipu AI Inc (authors: CogAudio Group Members)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import torchaudio
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import json
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import os
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def load_wav(wav, target_sr):
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speech, sample_rate = torchaudio.load(wav)
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speech = speech.to("cuda")
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speech = speech.mean(dim=0, keepdim=True)
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if sample_rate != target_sr:
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resampler = torchaudio.transforms.Resample(
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orig_freq=sample_rate,
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new_freq=target_sr
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).to('cuda')
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speech = resampler(speech).to("cuda")
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return speech
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def get_jsonl(jsonl_file_path=None):
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results = []
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lines = open(jsonl_file_path, encoding='utf-8').readlines()
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for arr in lines:
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arr = json.loads(arr)
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uttid, prompt_text, prompt_speech, syn_text = arr["uttid"], arr["prompt_text"], arr["prompt_speech"], arr["syn_text"]
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data = {
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"uttid": uttid,
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"prompt_text": prompt_text,
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"prompt_speech": prompt_speech,
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"syn_text": syn_text,
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}
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results.append(data)
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return results |