You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
62 lines
2.2 KiB
62 lines
2.2 KiB
3 years ago
|
# 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.
|
||
|
|
from yacs.config import CfgNode
|
||
|
|
|
||
|
|
_C = CfgNode()
|
||
|
|
|
||
|
|
data_config = _C.data = CfgNode()
|
||
|
|
|
||
|
|
## Audio volume normalization
|
||
|
|
data_config.audio_norm_target_dBFS = -30
|
||
|
|
|
||
|
|
## Audio sample rate
|
||
|
|
data_config.sampling_rate = 16000 # Hz
|
||
|
|
|
||
|
|
## Voice Activation Detection
|
||
|
|
# Window size of the VAD. Must be either 10, 20 or 30 milliseconds.
|
||
|
|
# This sets the granularity of the VAD. Should not need to be changed.
|
||
|
|
data_config.vad_window_length = 30 # In milliseconds
|
||
|
|
# Number of frames to average together when performing the moving average smoothing.
|
||
|
|
# The larger this value, the larger the VAD variations must be to not get smoothed out.
|
||
|
|
data_config.vad_moving_average_width = 8
|
||
|
|
# Maximum number of consecutive silent frames a segment can have.
|
||
|
|
data_config.vad_max_silence_length = 6
|
||
|
|
|
||
|
|
## Mel-filterbank
|
||
|
|
data_config.mel_window_length = 25 # In milliseconds
|
||
|
|
data_config.mel_window_step = 10 # In milliseconds
|
||
|
|
data_config.n_mels = 40 # mel bands
|
||
|
|
|
||
|
|
# Number of spectrogram frames in a partial utterance
|
||
|
|
data_config.partial_n_frames = 160 # 1600 ms
|
||
|
|
data_config.min_pad_coverage = 0.75 # at least 75% of the audio is valid in a partial
|
||
|
|
data_config.partial_overlap_ratio = 0.5 # overlap ratio between ajancent partials
|
||
|
|
|
||
|
|
model_config = _C.model = CfgNode()
|
||
|
|
model_config.num_layers = 3
|
||
|
|
model_config.hidden_size = 256
|
||
|
|
model_config.embedding_size = 256 # output size
|
||
|
|
|
||
|
|
training_config = _C.training = CfgNode()
|
||
|
|
training_config.learning_rate_init = 1e-4
|
||
|
|
training_config.speakers_per_batch = 64
|
||
|
|
training_config.utterances_per_speaker = 10
|
||
|
|
training_config.max_iteration = 1560000
|
||
|
|
training_config.save_interval = 10000
|
||
|
|
training_config.valid_interval = 10000
|
||
|
|
|
||
|
|
|
||
|
|
def get_cfg_defaults():
|
||
|
|
return _C.clone()
|