# Copyright 2019 The TensorFlow 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. | |
# ============================================================================== | |
"""Hyperparameters for YAMNet.""" | |
# The following hyperparameters (except PATCH_HOP_SECONDS) were used to train YAMNet, | |
# so expect some variability in performance if you change these. The patch hop can | |
# be changed arbitrarily: a smaller hop should give you more patches from the same | |
# clip and possibly better performance at a larger computational cost. | |
SAMPLE_RATE = 16000 | |
STFT_WINDOW_SECONDS = 0.025 | |
STFT_HOP_SECONDS = 0.010 | |
MEL_BANDS = 64 | |
MEL_MIN_HZ = 125 | |
MEL_MAX_HZ = 7500 | |
LOG_OFFSET = 0.001 | |
PATCH_WINDOW_SECONDS = 0.96 | |
PATCH_HOP_SECONDS = 0.48 | |
PATCH_FRAMES = int(round(PATCH_WINDOW_SECONDS / STFT_HOP_SECONDS)) | |
PATCH_BANDS = MEL_BANDS | |
NUM_CLASSES = 521 | |
CONV_PADDING = 'same' | |
BATCHNORM_CENTER = True | |
BATCHNORM_SCALE = False | |
BATCHNORM_EPSILON = 1e-4 | |
CLASSIFIER_ACTIVATION = 'sigmoid' | |
FEATURES_LAYER_NAME = 'features' | |
EXAMPLE_PREDICTIONS_LAYER_NAME = 'predictions' | |