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