vggish
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53 lines
2.0 KiB
53 lines
2.0 KiB
# Copyright 2017 The TensorFlow 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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# ==============================================================================
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"""Global parameters for the VGGish model.
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See vggish_slim.py for more information.
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"""
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# Architectural constants.
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NUM_FRAMES = 96 # Frames in input mel-spectrogram patch.
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NUM_BANDS = 64 # Frequency bands in input mel-spectrogram patch.
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EMBEDDING_SIZE = 128 # Size of embedding layer.
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# Hyperparameters used in feature and example generation.
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SAMPLE_RATE = 16000
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STFT_WINDOW_LENGTH_SECONDS = 0.025
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STFT_HOP_LENGTH_SECONDS = 0.010
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NUM_MEL_BINS = NUM_BANDS
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MEL_MIN_HZ = 125
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MEL_MAX_HZ = 7500
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LOG_OFFSET = 0.01 # Offset used for stabilized log of input mel-spectrogram.
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EXAMPLE_WINDOW_SECONDS = 0.96 # Each example contains 96 10ms frames
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EXAMPLE_HOP_SECONDS = 0.96 # with zero overlap.
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# Parameters used for embedding postprocessing.
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PCA_EIGEN_VECTORS_NAME = 'pca_eigen_vectors'
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PCA_MEANS_NAME = 'pca_means'
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QUANTIZE_MIN_VAL = -2.0
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QUANTIZE_MAX_VAL = +2.0
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# Hyperparameters used in training.
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INIT_STDDEV = 0.01 # Standard deviation used to initialize weights.
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LEARNING_RATE = 1e-4 # Learning rate for the Adam optimizer.
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ADAM_EPSILON = 1e-8 # Epsilon for the Adam optimizer.
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# Names of ops, tensors, and features.
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INPUT_OP_NAME = 'vggish/input_features'
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INPUT_TENSOR_NAME = INPUT_OP_NAME + ':0'
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OUTPUT_OP_NAME = 'vggish/embedding'
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OUTPUT_TENSOR_NAME = OUTPUT_OP_NAME + ':0'
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AUDIO_EMBEDDING_FEATURE_NAME = 'audio_embedding'
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