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37 lines
1.3 KiB
37 lines
1.3 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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 paddle.nn as nn
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class SoundClassifier(nn.Layer):
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"""
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Model for sound classification which uses panns pretrained models to extract
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embeddings from audio files.
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"""
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def __init__(self, backbone, num_class, dropout=0.1):
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super(SoundClassifier, self).__init__()
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self.backbone = backbone
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self.dropout = nn.Dropout(dropout)
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self.fc = nn.Linear(self.backbone.emb_size, num_class)
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def forward(self, x):
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# x: (batch_size, num_frames, num_melbins) -> (batch_size, 1, num_frames, num_melbins)
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x = x.unsqueeze(1)
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x = self.backbone(x)
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x = self.dropout(x)
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logits = self.fc(x)
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return logits
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