37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
# Copyright 2025 ByteDance and/or its affiliates.
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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 torch
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def mel2token_to_dur(mel2token, T_txt=None, max_dur=None):
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is_torch = isinstance(mel2token, torch.Tensor)
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has_batch_dim = True
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if not is_torch:
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mel2token = torch.LongTensor(mel2token)
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if T_txt is None:
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T_txt = mel2token.max()
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if len(mel2token.shape) == 1:
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mel2token = mel2token[None, ...]
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has_batch_dim = False
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B, _ = mel2token.shape
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dur = mel2token.new_zeros(B, T_txt + 1).scatter_add(1, mel2token, torch.ones_like(mel2token))
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dur = dur[:, 1:]
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if max_dur is not None:
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dur = dur.clamp(max=max_dur)
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if not is_torch:
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dur = dur.numpy()
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if not has_batch_dim:
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dur = dur[0]
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return dur
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