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packages: appdirs, packaging, loguru, deepfilterlib, deepfilternet\n", + " Attempting uninstall: packaging\n", + " Found existing installation: packaging 24.2\n", + " Uninstalling packaging-24.2:\n", + " Successfully uninstalled packaging-24.2\n", + "Successfully installed appdirs-1.4.4 deepfilterlib-0.5.6 deepfilternet-0.5.6 loguru-0.7.3 packaging-23.2\n", + "/content\n", + "Cloning into 'DeepFilterNet_WebUI'...\n", + "remote: Enumerating objects: 21, done.\u001b[K\n", + "remote: Counting objects: 100% (21/21), done.\u001b[K\n", + "remote: Compressing objects: 100% (20/20), done.\u001b[K\n", + "remote: Total 21 (delta 4), reused 0 (delta 0), pack-reused 0 (from 0)\u001b[K\n", + "Receiving objects: 100% (21/21), 8.34 KiB | 8.34 MiB/s, done.\n", + "Resolving deltas: 100% (4/4), done.\n", + "/content/DeepFilterNet_WebUI\n", + "/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", + " from torchaudio.backend.common import AudioMetaData\n", + "* Running on local URL: http://127.0.0.1:7860\n", + "* Running on public URL: https://6d09f6fbccd77f6b3f.gradio.live\n", + "\n", + "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", + "/tmp/gradio/21f307d000634dff9d7e31edb78153274ff072314c11f7410c9d2b00720efef8/SBORRATITE SBORRIZZANTE 4 48000 4.wav\n", + "\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", + "\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", + "fatal: not a git repository (or any of the parent directories): .git\n", + "\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", + "\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", + "\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mInitializing model `deepfilternet3`\u001b[0m\n", + "\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", + "/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", + " latest = torch.load(latest, map_location=\"cpu\")\n", + "\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", + "\u001b[32m2024-12-22 21:34:15\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mDF\u001b[0m | \u001b[1mModel loaded\u001b[0m\n" + ] + } + ], + "source": [ + "!pip install pygit2==1.12.2\n", + "!pip install gradio\n", + "!pip install torchaudio\n", + "!pip install deepfilternet\n", + "%cd /content\n", + "!git clone https://github.com/supergeniodelmale/DeepFilterNet_WebUI.git\n", + "%cd /content/DeepFilterNet_WebUI\n", + "!python app.py" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git 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0000000000000000000000000000000000000000..0c662c9aff6132ca86bb52356ea8b8b085bb647d --- /dev/null +++ b/models/onnx/Audio-Cleaner/checkpoints/model_120.ckpt.best @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23b92884f63ccf54bb026014604625ab231657b6480df65db4095c4c171e6003 +size 8714073 diff --git a/models/onnx/Audio-Cleaner/config.ini b/models/onnx/Audio-Cleaner/config.ini new file mode 100644 index 0000000000000000000000000000000000000000..158b58d8debd3102c8f84ebe3464a551c90272da --- /dev/null +++ b/models/onnx/Audio-Cleaner/config.ini @@ -0,0 +1,125 @@ +[train] +seed = 43 +device = +model = deepfilternet3 +jit = false +mask_only = false +df_only = false +batch_size = 64 +batch_size_eval = 64 +num_workers = 16 +max_sample_len_s = 3.0 +p_atten_lim = 0.0 +overfit = false +max_epochs = 120 +log_freq = 100 +log_timings = True +validation_criteria = loss +validation_criteria_rule = min +early_stopping_patience = 25 +global_ds_sampling_f = 1 +num_prefetch_batches = 8 +dataloader_snrs = -100,-5,0,5,10,20,40 +detect_anomaly = false +batch_size_scheduling = 0/16,2/24,5/32,10/64,20/128,40/9999 +start_eval = false +validation_set_caching = false +cp_blacklist = + +[distortion] +p_reverb = 0.1 +p_bandwidth_ext = 0.0 +p_clipping = 0.0 +p_air_absorption = 0.0 +p_zeroing = 0.0 +p_interfer_sp = 0.0 + +[df] +sr = 48000 +fft_size = 960 +hop_size = 480 +nb_erb = 32 +nb_df = 96 +norm_tau = 1 +lsnr_max = 35 +lsnr_min = -15 +min_nb_erb_freqs = 2 +pad_mode = output +df_order = 5 +df_lookahead = 2 + +[deepfilternet] +conv_lookahead = 2 +conv_ch = 64 +conv_depthwise = True +emb_hidden_dim = 256 +emb_num_layers = 3 +enc_linear_groups = 32 +linear_groups = 16 +conv_dec_mode = transposed +convt_depthwise = False +mask_pf = False +df_hidden_dim = 256 +df_num_layers = 2 +dfop_method = df +group_shuffle = False +conv_kernel = 1,3 +df_gru_skip = groupedlinear +df_pathway_kernel_size_t = 5 +enc_concat = False +conv_kernel_inp = 3,3 +emb_gru_skip = none +df_n_iter = 1 +convt_kernel = 1,3 +lsnr_dropout = False + +[localsnrloss] +factor = 1e-3 + +[maskloss] +factor = 0 +mask = spec +gamma = 0.3 +gamma_pred = 0.3 +f_under = 1 + +[spectralloss] +factor_magnitude = 0 +factor_complex = 0 +gamma = 0.3 +factor_under = 1 + +[dfalphaloss] +factor = 0.0 + +[multiresspecloss] +factor = 500 +factor_complex = 500 +gamma = 0.3 +fft_sizes = 256,512,1024,2048 + +[optim] +lr = 0.001 +momentum = 0 +weight_decay = 1e-12 +weight_decay_end = 0.01 +optimizer = adamw +lr_min = 1e-06 +lr_warmup = 0.0001 +warmup_epochs = 3 +lr_cycle_mul = 1.0 +lr_cycle_decay = 0.5 +lr_cycle_limit = 1 +lr_update_per_epoch = False +lr_cycle_epochs = -1 + +[sdrloss] +factor = 0.0 +segmental_ws = 0 + +[asrloss] +factor = 0 +factor_lm = 0 +loss_lm = CrossEntropy +model = base.en + diff --git a/models/onnx/Audio-Cleaner/df_dec.onnx b/models/onnx/Audio-Cleaner/df_dec.onnx new file mode 100644 index 0000000000000000000000000000000000000000..149e105469ca32da7d4a68521aa25fddb3e9c4b7 --- /dev/null +++ b/models/onnx/Audio-Cleaner/df_dec.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23114ce3b0f6464b763ee62f7bb8aab6b2a129a21eabd5bcfe59413db05f278a +size 3340803 diff --git a/models/onnx/Audio-Cleaner/enc.onnx b/models/onnx/Audio-Cleaner/enc.onnx new file mode 100644 index 0000000000000000000000000000000000000000..c515cf75f1424bd5dc9b2098acb2e4b2e04a6b1b --- /dev/null +++ b/models/onnx/Audio-Cleaner/enc.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7c5399d3da8a50ebef1c1a0ae421b33376aa5e45d0e92df16da7e83c9c131916 +size 1954042 diff --git a/models/onnx/Audio-Cleaner/enhance.log b/models/onnx/Audio-Cleaner/enhance.log new file mode 100644 index 0000000000000000000000000000000000000000..d38f2f24c742b615f82d3e4f9c59efdb6dffe6b1 --- /dev/null +++ b/models/onnx/Audio-Cleaner/enhance.log @@ -0,0 +1,15 @@ +2025-05-03 06:49:29 | INFO | DF | Running on torch 2.7.0+cpu +2025-05-03 06:49:29 | INFO | DF | Running on host DESKTOP-35EJ7QN +2025-05-03 06:49:29 | INFO | DF | Loading model settings of DeepFilterNet3 +2025-05-03 06:49:29 | INFO | DF | Running with post-filter (beta: 0.02) +2025-05-03 06:49:29 | INFO | DF | Initializing model `deepfilternet3` +2025-05-03 06:49:29 | WARNING | DF | Could not find `best` checkpoint. Checking for default... +2025-05-03 06:49:29 | ERROR | DF | Could not find a checkpoint +2025-05-03 06:54:18 | INFO | DF | Running on torch 2.7.0+cpu +2025-05-03 06:54:18 | INFO | DF | Running on host DESKTOP-35EJ7QN +2025-05-03 06:54:19 | INFO | DF | Loading model settings of DeepFilterNet3 +2025-05-03 06:54:19 | INFO | DF | Running with post-filter (beta: 0.02) +2025-05-03 06:54:19 | INFO | DF | Initializing model `deepfilternet3` +2025-05-03 06:54:19 | INFO | DF | Found checkpoint models/DeepFilterNet3\checkpoints\model_120.ckpt.best with epoch 120 +2025-05-03 06:54:19 | INFO | DF | Running on device cpu +2025-05-03 06:54:19 | INFO | DF | Model loaded diff --git a/models/onnx/Audio-Cleaner/erb_dec.onnx b/models/onnx/Audio-Cleaner/erb_dec.onnx new file mode 100644 index 0000000000000000000000000000000000000000..0dbcf710e3888edef9c897a571a1f073d4676741 --- /dev/null +++ b/models/onnx/Audio-Cleaner/erb_dec.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ab669a1d10afe20911728b33053a452071042317a90581092b325da7b2f9d895 +size 3292397 diff --git a/models/onnx/DeepFilterNet-Serverless/lowlatency/config.ini b/models/onnx/DeepFilterNet-Serverless/lowlatency/config.ini new file mode 100644 index 0000000000000000000000000000000000000000..5882dd9bd1944d66056b7f1451810b13d366e1a0 --- /dev/null +++ b/models/onnx/DeepFilterNet-Serverless/lowlatency/config.ini @@ -0,0 +1,125 @@ +[train] +seed = 43 +device = +model = deepfilternet3 +jit = false +mask_only = false +df_only = false +batch_size = 64 +batch_size_eval = 64 +num_workers = 16 +max_sample_len_s = 3.0 +p_atten_lim = 0.0 +overfit = false +max_epochs = 120 +log_freq = 100 +log_timings = False +validation_criteria = loss +validation_criteria_rule = min +early_stopping_patience = 25 +global_ds_sampling_f = 1 +num_prefetch_batches = 8 +dataloader_snrs = -5,0,5,10,20,40 +detect_anomaly = false +batch_size_scheduling = 0/8,1/16,2/24,5/32,10/64,20/128,40/9999 +start_eval = false +validation_set_caching = false +cp_blacklist = +n_checkpoint_history = 10 +n_best_checkpoint_history = 10 + +[distortion] +p_reverb = 0.15 +p_bandwidth_ext = 0.0 +p_clipping = 0.05 +p_zeroing = 0.05 +p_air_absorption = 0.0 +p_interfer_sp = 0.01 + +[df] +sr = 48000 +fft_size = 960 +hop_size = 480 +nb_erb = 32 +nb_df = 96 +norm_tau = 1 +lsnr_max = 35 +lsnr_min = -15 +min_nb_erb_freqs = 2 +pad_mode = output +df_order = 5 +df_lookahead = 0 + +[deepfilternet] +conv_lookahead = 0 +conv_ch = 64 +conv_depthwise = True +emb_hidden_dim = 512 +emb_num_layers = 3 +enc_linear_groups = 16 +linear_groups = 16 +conv_dec_mode = transposed +convt_depthwise = True +mask_pf = False +df_hidden_dim = 512 +df_num_layers = 3 +dfop_method = df +group_shuffle = False +conv_kernel = 2,3 +df_gru_skip = groupedlinear +df_pathway_kernel_size_t = 5 +enc_concat = False +conv_kernel_inp = 3,3 +emb_gru_skip = none +df_n_iter = 1 +lsnr_dropout = False + +[localsnrloss] +factor = 1e-3 + +[maskloss] +factor = 0.3 +mask = spec +gamma = 0.3 +gamma_pred = 0.3 +f_under = 1.0 + +[spectralloss] +factor_magnitude = 0 +factor_complex = 0 +gamma = 0.3 +factor_under = 1 + +[dfalphaloss] +factor = 0.0 + +[multiresspecloss] +factor = 700 +factor_complex = 300 +gamma = 0.3 +fft_sizes = 1024,2048,3072 + +[optim] +lr = 0.001 +momentum = 0 +weight_decay = 1e-12 +weight_decay_end = 0.01 +optimizer = adamw +lr_min = 1e-06 +lr_warmup = 0.0001 +warmup_epochs = 3 +lr_cycle_mul = 1.0 +lr_cycle_decay = 0.5 +lr_cycle_limit = 1 +lr_update_per_epoch = False +lr_cycle_epochs = -1 + +[sdrloss] +factor = 0.0 +segmental_ws = 0 + +[asrloss] +factor = 0.0 +factor_lm = 0.0 +loss_lm = CrossEntropy + diff --git a/models/onnx/DeepFilterNet-Serverless/lowlatency/df_dec.onnx b/models/onnx/DeepFilterNet-Serverless/lowlatency/df_dec.onnx new file mode 100644 index 0000000000000000000000000000000000000000..f28994621b33eb0f33b601ce0b56ac56e2ae3b93 --- /dev/null +++ b/models/onnx/DeepFilterNet-Serverless/lowlatency/df_dec.onnx @@ -0,0 +1,3 @@ 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sha256:b43b7d841cf3df9069fa35063f1b0e42b165e94e4198cbfbf1b0d45c9d9f8e31 +size 12812852 diff --git a/models/onnx/DeepFilterNet-Serverless/normal/config.ini b/models/onnx/DeepFilterNet-Serverless/normal/config.ini new file mode 100644 index 0000000000000000000000000000000000000000..b8fb85fa17524b8fe20682edc63ce303225354e8 --- /dev/null +++ b/models/onnx/DeepFilterNet-Serverless/normal/config.ini @@ -0,0 +1,125 @@ +[train] +seed = 43 +device = +model = deepfilternet3 +jit = false +mask_only = false +df_only = false +batch_size = 64 +batch_size_eval = 64 +num_workers = 16 +max_sample_len_s = 3.0 +p_atten_lim = 0.0 +overfit = false +max_epochs = 120 +log_freq = 100 +log_timings = True +validation_criteria = loss +validation_criteria_rule = min +early_stopping_patience = 25 +global_ds_sampling_f = 1 +num_prefetch_batches = 8 +dataloader_snrs = -100,-5,0,5,10,20,40 +detect_anomaly = false +batch_size_scheduling = 0/16,2/24,5/32,10/64,20/128,40/9999 +start_eval = false +validation_set_caching = false +cp_blacklist = + +[distortion] +p_reverb = 0.1 +p_bandwidth_ext = 0.0 +p_clipping = 0.0 +p_air_absorption = 0.0 +p_zeroing = 0.0 +p_interfer_sp = 0.0 + +[df] +sr = 48000 +fft_size = 960 +hop_size = 480 +nb_erb = 32 +nb_df = 96 +norm_tau = 1 +lsnr_max = 35 +lsnr_min = -15 +min_nb_erb_freqs = 2 +pad_mode = output +df_order = 5 +df_lookahead = 2 + +[deepfilternet] +conv_lookahead = 2 +conv_ch = 64 +conv_depthwise = True +emb_hidden_dim = 256 +emb_num_layers = 3 +enc_linear_groups = 32 +linear_groups = 16 +conv_dec_mode = transposed +convt_depthwise = False +mask_pf = False +df_hidden_dim = 256 +df_num_layers = 2 +dfop_method = df +group_shuffle = False +conv_kernel = 1,3 +df_gru_skip = groupedlinear +df_pathway_kernel_size_t = 5 +enc_concat = False +conv_kernel_inp = 3,3 +emb_gru_skip = none +df_n_iter = 1 +convt_kernel = 1,3 +lsnr_dropout = False + +[localsnrloss] +factor = 1e-3 + +[maskloss] +factor = 0 +mask = spec +gamma = 0.3 +gamma_pred = 0.3 +f_under = 1 + +[spectralloss] +factor_magnitude = 0 +factor_complex = 0 +gamma = 0.3 +factor_under = 1 + +[dfalphaloss] +factor = 0.0 + +[multiresspecloss] +factor = 500 +factor_complex = 500 +gamma = 0.3 +fft_sizes = 256,512,1024,2048 + +[optim] +lr = 0.001 +momentum = 0 +weight_decay = 1e-12 +weight_decay_end = 0.01 +optimizer = adamw +lr_min = 1e-06 +lr_warmup = 0.0001 +warmup_epochs = 3 +lr_cycle_mul = 1.0 +lr_cycle_decay = 0.5 +lr_cycle_limit = 1 +lr_update_per_epoch = False +lr_cycle_epochs = -1 + +[sdrloss] +factor = 0.0 +segmental_ws = 0 + +[asrloss] +factor = 0 +factor_lm = 0 +loss_lm = CrossEntropy +model = base.en + diff --git a/models/onnx/DeepFilterNet-Serverless/normal/df_dec.onnx b/models/onnx/DeepFilterNet-Serverless/normal/df_dec.onnx new file mode 100644 index 0000000000000000000000000000000000000000..149e105469ca32da7d4a68521aa25fddb3e9c4b7 --- /dev/null +++ b/models/onnx/DeepFilterNet-Serverless/normal/df_dec.onnx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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b/models/pt/deepfilternet-openvino/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/models/pt/deepfilternet-openvino/README.md b/models/pt/deepfilternet-openvino/README.md new file mode 100644 index 0000000000000000000000000000000000000000..b31cb8f9c2278444fe4a5dfec96256fa2ba3943d --- /dev/null +++ b/models/pt/deepfilternet-openvino/README.md @@ -0,0 +1,49 @@ +--- +license: mit +--- + +DeepFilterNet OpenVINO + +This repo stores OpenVINO(TM) models in IR format that are used to perform noise suppression using DeepFilterNet2 & DeepFilterNet3. + +Here is the link to the DeepFilterNet GitHub project: +https://github.com/Rikorose/DeepFilterNet + +This is intended to be used with the set of OpenVINO-based AI plugins for Audacity(R), here: https://github.com/intel/openvino-plugins-ai-audacity + +The zip packages stored here, deepfilternet2.zip, and deepfilternet3.zip each contain the following OpenVINO IR (Intermediate Representation) model files: +``` +enc.xml, enc.bin +erb_dec.xml, erb_dec.bin +df_dec.xml, df_dec.bin +``` + +The deepfilternet2.zip IR's were converted from the original onnx models that were downloaded from original DeepFilterNet repo, here: +https://github.com/Rikorose/DeepFilterNet/blob/1e96ef05e1ef75b3702f8c55ca065368deae637d/models/DeepFilterNet2_onnx.tar.gz + +The deepfilternet3.zip IR's were converted from original onnx models that were downloaded from original DeepFilterNet repo, here: +https://github.com/Rikorose/DeepFilterNet/blob/1e96ef05e1ef75b3702f8c55ca065368deae637d/models/DeepFilterNet3_onnx.tar.gz + + +# Citations: + +```bibtex +@inproceedings{schroeter2023deepfilternet3, + title = {{DeepFilterNet}: Perceptually Motivated Real-Time Speech Enhancement}, + author = {Schröter, Hendrik and Rosenkranz, Tobias and Escalante-B., Alberto N. and Maier, Andreas}, + booktitle={INTERSPEECH}, + year = {2023}, +} +``` + +```bibtex +@inproceedings{schroeter2022deepfilternet2, + title = {{DeepFilterNet2}: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio}, + author = {Schröter, Hendrik and Escalante-B., Alberto N. and Rosenkranz, Tobias and Maier, Andreas}, + booktitle={17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022)}, + year = {2022}, +} +``` + +## Intel’s Human Rights Disclaimer: +Intel is committed to respecting human rights and avoiding complicity in human rights abuses. See Intel's Global Human Rights Principles. 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