DeepFilterNet (code, models, paper)
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- .gitattributes +8 -0
- Deep Multi-Frame Filtering for Hearing Aids.pdf +3 -0
- DeepFilterNet. A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering.pdf +3 -0
- DeepFilterNet. Perceptually Motivated Real-Time Speech Enhancement.pdf +3 -0
- DeepFilterNet2. Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio.pdf +3 -0
- Towards Stable Backdoor Purification through Feature Shift Tuning.pdf +3 -0
- code/Audio-Background-Noise-Remover.zip +3 -0
- code/Audio-Cleaner [BenjaminDanker].zip +3 -0
- code/AudioCleaner [chuck1z].zip +3 -0
- code/AudioProcess-DeepFilterNet.zip +3 -0
- code/DeepFilterNet (setup tutorial, rus).zip +3 -0
- code/DeepFilterNet [Xiaoxx18].zip +3 -0
- code/DeepFilterNet [lucribas].zip +3 -0
- code/DeepFilterNet [sarah9db].zip +3 -0
- code/DeepFilterNet-Keras.zip +3 -0
- code/DeepFilterNet.zip +3 -0
- code/DeepFilterNet2 [EakAip].zip +3 -0
- code/DeepFilterNet2 [jasonfina27].zip +3 -0
- code/DeepFilterNet2-Notebook.zip +3 -0
- code/DeepFilterNet2-Samples.zip +3 -0
- code/DeepFilterNetInferenceCode.zip +3 -0
- code/DeepfilterNet [mrgulrez].zip +3 -0
- code/DeepfilterNet_onnx_openvino.zip +3 -0
- code/Deepfilternet3-Livekit.zip +3 -0
- code/GUI/DeepFilterNetGui.zip +3 -0
- code/GUI/Denoiser X.zip +3 -0
- code/Noise-Cancellation.zip +3 -0
- code/RealTimeDeepFilterNet.zip +3 -0
- code/Sample_DeepFilterNet.zip +3 -0
- code/Sound_Recognition_-_Cancellation.zip +3 -0
- code/Video-Audio-Denoiser.zip +3 -0
- code/VoiceFilter.zip +3 -0
- code/WebUI/DeepFilterNet_WebUI.ipynb +224 -0
- code/WebUI/DeepFilterNet_WebUI.zip +3 -0
- code/audio-enhancement-deepfilternet3.zip +3 -0
- code/deepfilter-vst.zip +3 -0
- code/deepfilternet-assets.zip +3 -0
- code/deepfilternet-client.zip +3 -0
- code/deepfilternet-lib.zip +3 -0
- code/deepfilternet-serverless.zip +3 -0
- code/deepfilternet-video-denoiser.zip +3 -0
- code/dfnet-java.zip +3 -0
- code/dfnstream-py.zip +3 -0
- code/fast-music-remover.zip +3 -0
- code/host-deepfilternet.zip +3 -0
- code/libdeepfilter-builds.zip +3 -0
- code/livekit-deepfilternet3-noise-filter.zip +3 -0
- demo.mp4 +3 -0
- models/onnx/Audio-Cleaner/checkpoints/model_120.ckpt.best +3 -0
- models/onnx/Audio-Cleaner/config.ini +125 -0
.gitattributes
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@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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Deep[[:space:]]Multi-Frame[[:space:]]Filtering[[:space:]]for[[:space:]]Hearing[[:space:]]Aids.pdf filter=lfs diff=lfs merge=lfs -text
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DeepFilterNet.[[:space:]]A[[:space:]]Low[[:space:]]Complexity[[:space:]]Speech[[:space:]]Enhancement[[:space:]]Framework[[:space:]]for[[:space:]]Full-Band[[:space:]]Audio[[:space:]]based[[:space:]]on[[:space:]]Deep[[:space:]]Filtering.pdf filter=lfs diff=lfs merge=lfs -text
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DeepFilterNet.[[:space:]]Perceptually[[:space:]]Motivated[[:space:]]Real-Time[[:space:]]Speech[[:space:]]Enhancement.pdf filter=lfs diff=lfs merge=lfs -text
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DeepFilterNet2.[[:space:]]Towards[[:space:]]Real-Time[[:space:]]Speech[[:space:]]Enhancement[[:space:]]on[[:space:]]Embedded[[:space:]]Devices[[:space:]]for[[:space:]]Full-Band[[:space:]]Audio.pdf filter=lfs diff=lfs merge=lfs -text
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demo.mp4 filter=lfs diff=lfs merge=lfs -text
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models/onnx/Audio-Cleaner/checkpoints/model_120.ckpt.best filter=lfs diff=lfs merge=lfs -text
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models/pt/DeepFilterNet2/model_96.ckpt.best filter=lfs diff=lfs merge=lfs -text
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Towards[[:space:]]Stable[[:space:]]Backdoor[[:space:]]Purification[[:space:]]through[[:space:]]Feature[[:space:]]Shift[[:space:]]Tuning.pdf filter=lfs diff=lfs merge=lfs -text
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Deep Multi-Frame Filtering for Hearing Aids.pdf
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DeepFilterNet. A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering.pdf
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DeepFilterNet. Perceptually Motivated Real-Time Speech Enhancement.pdf
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DeepFilterNet2. Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio.pdf
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Towards Stable Backdoor Purification through Feature Shift Tuning.pdf
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code/Audio-Background-Noise-Remover.zip
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code/AudioProcess-DeepFilterNet.zip
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code/DeepFilterNet (setup tutorial, rus).zip
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code/DeepFilterNet [Xiaoxx18].zip
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code/DeepFilterNet [lucribas].zip
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code/DeepFilterNet [sarah9db].zip
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code/DeepFilterNet-Keras.zip
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code/DeepFilterNet.zip
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code/DeepFilterNet2 [EakAip].zip
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code/DeepfilterNet [mrgulrez].zip
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code/DeepfilterNet_onnx_openvino.zip
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code/Deepfilternet3-Livekit.zip
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code/GUI/DeepFilterNetGui.zip
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code/Noise-Cancellation.zip
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code/RealTimeDeepFilterNet.zip
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code/Sample_DeepFilterNet.zip
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code/Sound_Recognition_-_Cancellation.zip
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code/Video-Audio-Denoiser.zip
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code/VoiceFilter.zip
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code/WebUI/DeepFilterNet_WebUI.ipynb
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" Found existing installation: packaging 24.2\n",
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" Uninstalling packaging-24.2:\n",
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" Successfully uninstalled packaging-24.2\n",
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"Successfully installed appdirs-1.4.4 deepfilterlib-0.5.6 deepfilternet-0.5.6 loguru-0.7.3 packaging-23.2\n",
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"/content\n",
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"Cloning into 'DeepFilterNet_WebUI'...\n",
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"remote: Enumerating objects: 21, done.\u001b[K\n",
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"remote: Total 21 (delta 4), reused 0 (delta 0), pack-reused 0 (from 0)\u001b[K\n",
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"Receiving objects: 100% (21/21), 8.34 KiB | 8.34 MiB/s, done.\n",
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"Resolving deltas: 100% (4/4), done.\n",
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| 176 |
+
"/content/DeepFilterNet_WebUI\n",
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| 177 |
+
"/usr/local/lib/python3.10/dist-packages/df/io.py:9: UserWarning: `torchaudio.backend.common.AudioMetaData` has been moved to `torchaudio.AudioMetaData`. Please update the import path.\n",
|
| 178 |
+
" from torchaudio.backend.common import AudioMetaData\n",
|
| 179 |
+
"* Running on local URL: http://127.0.0.1:7860\n",
|
| 180 |
+
"* Running on public URL: https://6d09f6fbccd77f6b3f.gradio.live\n",
|
| 181 |
+
"\n",
|
| 182 |
+
"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n",
|
| 183 |
+
"/tmp/gradio/21f307d000634dff9d7e31edb78153274ff072314c11f7410c9d2b00720efef8/SBORRATITE SBORRIZZANTE 4 48000 4.wav\n",
|
| 184 |
+
"\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mRunning on torch 2.5.1+cu121\u001b[0m\n",
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"\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mRunning on host f5f247487f54\u001b[0m\n",
|
| 186 |
+
"fatal: not a git repository (or any of the parent directories): .git\n",
|
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+
"\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mLoading model settings of DeepFilterNet3\u001b[0m\n",
|
| 188 |
+
"\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mUsing DeepFilterNet3 model at /root/.cache/DeepFilterNet/DeepFilterNet3\u001b[0m\n",
|
| 189 |
+
"\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mInitializing model `deepfilternet3`\u001b[0m\n",
|
| 190 |
+
"\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mFound checkpoint /root/.cache/DeepFilterNet/DeepFilterNet3/checkpoints/model_120.ckpt.best with epoch 120\u001b[0m\n",
|
| 191 |
+
"/usr/local/lib/python3.10/dist-packages/df/checkpoint.py:77: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
|
| 192 |
+
" latest = torch.load(latest, map_location=\"cpu\")\n",
|
| 193 |
+
"\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mRunning on device cpu\u001b[0m\n",
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+
"\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mModel loaded\u001b[0m\n"
|
| 195 |
+
]
|
| 196 |
+
}
|
| 197 |
+
],
|
| 198 |
+
"source": [
|
| 199 |
+
"!pip install pygit2==1.12.2\n",
|
| 200 |
+
"!pip install gradio\n",
|
| 201 |
+
"!pip install torchaudio\n",
|
| 202 |
+
"!pip install deepfilternet\n",
|
| 203 |
+
"%cd /content\n",
|
| 204 |
+
"!git clone https://github.com/supergeniodelmale/DeepFilterNet_WebUI.git\n",
|
| 205 |
+
"%cd /content/DeepFilterNet_WebUI\n",
|
| 206 |
+
"!python app.py"
|
| 207 |
+
]
|
| 208 |
+
}
|
| 209 |
+
],
|
| 210 |
+
"metadata": {
|
| 211 |
+
"colab": {
|
| 212 |
+
"provenance": []
|
| 213 |
+
},
|
| 214 |
+
"kernelspec": {
|
| 215 |
+
"display_name": "Python 3",
|
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+
"name": "python3"
|
| 217 |
+
},
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| 218 |
+
"language_info": {
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+
"name": "python"
|
| 220 |
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}
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+
},
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"nbformat": 4,
|
| 223 |
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"nbformat_minor": 0
|
| 224 |
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}
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code/WebUI/DeepFilterNet_WebUI.zip
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code/deepfilternet-assets.zip
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code/deepfilternet-client.zip
ADDED
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code/deepfilternet-lib.zip
ADDED
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code/deepfilternet-serverless.zip
ADDED
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ADDED
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code/dfnet-java.zip
ADDED
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ADDED
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ADDED
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ADDED
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ADDED
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| 1 |
+
[train]
|
| 2 |
+
seed = 43
|
| 3 |
+
device =
|
| 4 |
+
model = deepfilternet3
|
| 5 |
+
jit = false
|
| 6 |
+
mask_only = false
|
| 7 |
+
df_only = false
|
| 8 |
+
batch_size = 64
|
| 9 |
+
batch_size_eval = 64
|
| 10 |
+
num_workers = 16
|
| 11 |
+
max_sample_len_s = 3.0
|
| 12 |
+
p_atten_lim = 0.0
|
| 13 |
+
overfit = false
|
| 14 |
+
max_epochs = 120
|
| 15 |
+
log_freq = 100
|
| 16 |
+
log_timings = True
|
| 17 |
+
validation_criteria = loss
|
| 18 |
+
validation_criteria_rule = min
|
| 19 |
+
early_stopping_patience = 25
|
| 20 |
+
global_ds_sampling_f = 1
|
| 21 |
+
num_prefetch_batches = 8
|
| 22 |
+
dataloader_snrs = -100,-5,0,5,10,20,40
|
| 23 |
+
detect_anomaly = false
|
| 24 |
+
batch_size_scheduling = 0/16,2/24,5/32,10/64,20/128,40/9999
|
| 25 |
+
start_eval = false
|
| 26 |
+
validation_set_caching = false
|
| 27 |
+
cp_blacklist =
|
| 28 |
+
|
| 29 |
+
[distortion]
|
| 30 |
+
p_reverb = 0.1
|
| 31 |
+
p_bandwidth_ext = 0.0
|
| 32 |
+
p_clipping = 0.0
|
| 33 |
+
p_air_absorption = 0.0
|
| 34 |
+
p_zeroing = 0.0
|
| 35 |
+
p_interfer_sp = 0.0
|
| 36 |
+
|
| 37 |
+
[df]
|
| 38 |
+
sr = 48000
|
| 39 |
+
fft_size = 960
|
| 40 |
+
hop_size = 480
|
| 41 |
+
nb_erb = 32
|
| 42 |
+
nb_df = 96
|
| 43 |
+
norm_tau = 1
|
| 44 |
+
lsnr_max = 35
|
| 45 |
+
lsnr_min = -15
|
| 46 |
+
min_nb_erb_freqs = 2
|
| 47 |
+
pad_mode = output
|
| 48 |
+
df_order = 5
|
| 49 |
+
df_lookahead = 2
|
| 50 |
+
|
| 51 |
+
[deepfilternet]
|
| 52 |
+
conv_lookahead = 2
|
| 53 |
+
conv_ch = 64
|
| 54 |
+
conv_depthwise = True
|
| 55 |
+
emb_hidden_dim = 256
|
| 56 |
+
emb_num_layers = 3
|
| 57 |
+
enc_linear_groups = 32
|
| 58 |
+
linear_groups = 16
|
| 59 |
+
conv_dec_mode = transposed
|
| 60 |
+
convt_depthwise = False
|
| 61 |
+
mask_pf = False
|
| 62 |
+
df_hidden_dim = 256
|
| 63 |
+
df_num_layers = 2
|
| 64 |
+
dfop_method = df
|
| 65 |
+
group_shuffle = False
|
| 66 |
+
conv_kernel = 1,3
|
| 67 |
+
df_gru_skip = groupedlinear
|
| 68 |
+
df_pathway_kernel_size_t = 5
|
| 69 |
+
enc_concat = False
|
| 70 |
+
conv_kernel_inp = 3,3
|
| 71 |
+
emb_gru_skip = none
|
| 72 |
+
df_n_iter = 1
|
| 73 |
+
convt_kernel = 1,3
|
| 74 |
+
lsnr_dropout = False
|
| 75 |
+
|
| 76 |
+
[localsnrloss]
|
| 77 |
+
factor = 1e-3
|
| 78 |
+
|
| 79 |
+
[maskloss]
|
| 80 |
+
factor = 0
|
| 81 |
+
mask = spec
|
| 82 |
+
gamma = 0.3
|
| 83 |
+
gamma_pred = 0.3
|
| 84 |
+
f_under = 1
|
| 85 |
+
|
| 86 |
+
[spectralloss]
|
| 87 |
+
factor_magnitude = 0
|
| 88 |
+
factor_complex = 0
|
| 89 |
+
gamma = 0.3
|
| 90 |
+
factor_under = 1
|
| 91 |
+
|
| 92 |
+
[dfalphaloss]
|
| 93 |
+
factor = 0.0
|
| 94 |
+
|
| 95 |
+
[multiresspecloss]
|
| 96 |
+
factor = 500
|
| 97 |
+
factor_complex = 500
|
| 98 |
+
gamma = 0.3
|
| 99 |
+
fft_sizes = 256,512,1024,2048
|
| 100 |
+
|
| 101 |
+
[optim]
|
| 102 |
+
lr = 0.001
|
| 103 |
+
momentum = 0
|
| 104 |
+
weight_decay = 1e-12
|
| 105 |
+
weight_decay_end = 0.01
|
| 106 |
+
optimizer = adamw
|
| 107 |
+
lr_min = 1e-06
|
| 108 |
+
lr_warmup = 0.0001
|
| 109 |
+
warmup_epochs = 3
|
| 110 |
+
lr_cycle_mul = 1.0
|
| 111 |
+
lr_cycle_decay = 0.5
|
| 112 |
+
lr_cycle_limit = 1
|
| 113 |
+
lr_update_per_epoch = False
|
| 114 |
+
lr_cycle_epochs = -1
|
| 115 |
+
|
| 116 |
+
[sdrloss]
|
| 117 |
+
factor = 0.0
|
| 118 |
+
segmental_ws = 0
|
| 119 |
+
|
| 120 |
+
[asrloss]
|
| 121 |
+
factor = 0
|
| 122 |
+
factor_lm = 0
|
| 123 |
+
loss_lm = CrossEntropy
|
| 124 |
+
model = base.en
|
| 125 |
+
|