diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..4ecd7118dcba7e2d67e2172a029b44882e3526e1 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,4 @@ saved_model/**/* 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 +*.mdl filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2eab0a913bf10a69e46bdb9e71e6323d26874dde --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +license: apache-2.0 +--- + + +This repo is used to host the configs and checkpoints used in our ICASSP2024 submission projects. + + +## How to run + +The [codebase](https://github.com/XIAOYixuan/tomatoDD) is work-in-progress. + +## Exp Description + +For each model, there are four exp setups, as shown in the following table. + +For example, exp1.1 refers to an experiment where: +- The genuine data comes from Librispeech. +- The training order is organized by attacker's training dataset's name. +- The training strategy is finetuning. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Genuine DataLibrispeechMLAAD
Task OrderBy DatasetRandomRandom
Finetuneexp1.1exp1.2exp1.4
One-Class Softmaxexp2.1exp2.2exp2.4
Replayexp3.1exp3.2exp3.4
LwFexp4.1exp4.2exp4.4
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transformation: + func: LFCC + fl: 320 + fs: 160 + fn: 512 + sr: 16000 + filter_num: 20 + with_energy: False +model: + model_class: PlainLCNN +criterion: + model_class: built-in # xent + type: CrossEntropyLoss +train: + base_task_tag: asvspoof19 + has_best_model: False + start_steps: 0 + max_steps: 10000000000 + max_epoch: 10 + finetune_max_epoch: 5 + # Adam optimizer + lr: 0.0005 + finetune_lr: 0.0001 + #finetune_lr: 0.00005 + beta1: 0.9 + beta2: 0.999 + #weight_decay: 0.00005 + weight_decay: 0.0005 + # step LR + lr_gamma: 0.5 + lr_step_size: 20 + validate_interval: 10000000000 + log_interval: 40 \ No newline at end of file diff --git a/lcnn/exp1.x/exp1.2/cl-ckpt/train_facebook_mms-tts-eng.mdl b/lcnn/exp1.x/exp1.2/cl-ckpt/train_facebook_mms-tts-eng.mdl new file mode 100644 index 0000000000000000000000000000000000000000..97ad7484fb74235e896e18950a3fdbeea1f64840 --- /dev/null +++ b/lcnn/exp1.x/exp1.2/cl-ckpt/train_facebook_mms-tts-eng.mdl @@ -0,0 +1,3 @@ +version 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base: # split: train, dev + model_class: GeneralFAD + data_path: dataset_meta/ASVSpoof19 + cl: # split: train, dev, test + model_class: GeneralMultiDS + data_path: dataset_meta/MLAAD_en_mix_mailabs + data_list: meta_files/mlaad_attacker_order_by_ds.lst + # num_workers and batch_size are used for dataloader + num_workers: 16 + batch_size: 128 + test_num_workers: 16 + test_batch_size: 128 + max_len: 4 + transformation: + func: LFCC + fl: 320 + fs: 160 + fn: 512 + sr: 16000 + filter_num: 20 + with_energy: False +model: + model_class: PlainLCNN +criterion: + model_class: built-in # xent + type: CrossEntropyLoss +train: + base_task_tag: asvspoof19 + has_best_model: True + start_steps: 0 + max_steps: 10000000000 + max_epoch: 10 + finetune_max_epoch: 5 + # Adam optimizer + lr: 0.0005 + finetune_lr: 0.0001 + #finetune_lr: 0.00005 + beta1: 0.9 + beta2: 0.999 + #weight_decay: 0.00005 + weight_decay: 0.0005 + # step LR + lr_gamma: 0.5 + lr_step_size: 20 + validate_interval: 10000000000 + 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transformation: + func: LFCC + fl: 320 + fs: 160 + fn: 512 + sr: 16000 + filter_num: 20 + with_energy: False +model: + model_class: PlainLCNN +criterion: + model_class: built-in # xent + type: CrossEntropyLoss +train: + base_task_tag: asvspoof19 + has_best_model: True + start_steps: 0 + max_steps: 10000000000 + max_epoch: 10 + finetune_max_epoch: 5 + # Adam optimizer + lr: 0.0005 + finetune_lr: 0.0001 + #finetune_lr: 0.00005 + beta1: 0.9 + beta2: 0.999 + #weight_decay: 0.00005 + weight_decay: 0.0005 + # step LR + lr_gamma: 0.5 + lr_step_size: 20 + validate_interval: 10000000000 + log_interval: 40 \ No newline at end of file diff --git a/resnet/exp1.x/best.mdl b/resnet/exp1.x/best.mdl new file mode 100644 index 0000000000000000000000000000000000000000..0c2dcfba76febf4ef398407a3ea44f1ea6da39cc --- /dev/null +++ b/resnet/exp1.x/best.mdl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:07f5f3261d0578bbc97d954139fc91eae7411a52471c3544f85a3e02481cac8d +size 49862514 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+data: + model_class: MultiDS + train_splits: ['base_train', 'base_dev', 'cl_train', 'test'] + infer_splits: ['test'] + base: # split: train, dev + model_class: GeneralFAD + data_path: dataset_meta/ASVSpoof19 + cl: # split: train, dev, test + model_class: GeneralMultiDS + data_path: dataset_meta/MLAAD_en_mix_mailabs + data_list: meta_files/mlaad_attacker_order_random.lst + # num_workers and batch_size are used for dataloader + num_workers: 16 + batch_size: 128 + test_num_workers: 6 + test_batch_size: 192 + max_len: 4 +model: + model_class: wav2vecAASIST +criterion: + model_class: built-in # xent + type: CrossEntropyLoss +train: + base_task_tag: asvspoof19 + has_best_model: True + start_steps: 0 + max_steps: 10000000000 + max_epoch: 10 + finetune_max_epoch: 2 + # Adam optimizer + lr: 0.0005 + finetune_lr: 0.0001 + #finetune_lr: 0.00005 + beta1: 0.9 + beta2: 0.999 + #weight_decay: 0.00005 + weight_decay: 0.0005 + # step LR + lr_gamma: 0.5 + lr_step_size: 20 + validate_interval: 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