From 531bffdfc41f6c55c9320c55639610859f7dcc10 Mon Sep 17 00:00:00 2001
From: lithr1 <1102340779@qq.com>
Date: Sun, 7 Apr 2024 14:30:24 +0800
Subject: [PATCH 1/3] sgmse
---
bins/sgmse/inference.py | 75 ++
bins/sgmse/preprocess.py | 53 ++
bins/sgmse/train_sgmse.py | 87 +++
config/sgmse.json | 42 ++
egs/sgmse/README.md | 99 +++
egs/sgmse/dereverberation/exp_config.json | 69 ++
egs/sgmse/dereverberation/run.sh | 97 +++
env.sh | 1 +
imgs/sgmse/diffusion_process.png | Bin 0 -> 243841 bytes
models/base/base_trainer.py | 6 +-
models/sgmse/dereverberation/__init__.py | 0
.../sgmse/dereverberation/dereverberation.py | 25 +
.../dereverberation_Trainer.py | 190 +++++
.../dereverberation_dataset.py | 107 +++
.../dereverberation_inference.py | 75 ++
modules/sgmse/__init__.py | 5 +
modules/sgmse/dcunet.py | 627 +++++++++++++++++
modules/sgmse/ncsnpp.py | 419 +++++++++++
modules/sgmse/ncsnpp_utils/layers.py | 662 ++++++++++++++++++
modules/sgmse/ncsnpp_utils/layerspp.py | 274 ++++++++
modules/sgmse/ncsnpp_utils/normalization.py | 215 ++++++
modules/sgmse/ncsnpp_utils/op/__init__.py | 2 +
modules/sgmse/ncsnpp_utils/op/fused_act.py | 97 +++
.../sgmse/ncsnpp_utils/op/fused_bias_act.cpp | 21 +
.../ncsnpp_utils/op/fused_bias_act_kernel.cu | 99 +++
modules/sgmse/ncsnpp_utils/op/upfirdn2d.cpp | 23 +
modules/sgmse/ncsnpp_utils/op/upfirdn2d.py | 200 ++++++
.../sgmse/ncsnpp_utils/op/upfirdn2d_kernel.cu | 369 ++++++++++
.../sgmse/ncsnpp_utils/up_or_down_sampling.py | 257 +++++++
modules/sgmse/ncsnpp_utils/utils.py | 189 +++++
modules/sgmse/sampling/__init__.py | 139 ++++
modules/sgmse/sampling/correctors.py | 96 +++
modules/sgmse/sampling/predictors.py | 76 ++
modules/sgmse/sdes.py | 307 ++++++++
modules/sgmse/shared.py | 123 ++++
preprocessors/wsj0reverb.py | 130 ++++
36 files changed, 5254 insertions(+), 2 deletions(-)
create mode 100644 bins/sgmse/inference.py
create mode 100644 bins/sgmse/preprocess.py
create mode 100644 bins/sgmse/train_sgmse.py
create mode 100644 config/sgmse.json
create mode 100644 egs/sgmse/README.md
create mode 100644 egs/sgmse/dereverberation/exp_config.json
create mode 100644 egs/sgmse/dereverberation/run.sh
create mode 100644 imgs/sgmse/diffusion_process.png
create mode 100644 models/sgmse/dereverberation/__init__.py
create mode 100644 models/sgmse/dereverberation/dereverberation.py
create mode 100644 models/sgmse/dereverberation/dereverberation_Trainer.py
create mode 100644 models/sgmse/dereverberation/dereverberation_dataset.py
create mode 100644 models/sgmse/dereverberation/dereverberation_inference.py
create mode 100644 modules/sgmse/__init__.py
create mode 100644 modules/sgmse/dcunet.py
create mode 100644 modules/sgmse/ncsnpp.py
create mode 100644 modules/sgmse/ncsnpp_utils/layers.py
create mode 100644 modules/sgmse/ncsnpp_utils/layerspp.py
create mode 100644 modules/sgmse/ncsnpp_utils/normalization.py
create mode 100644 modules/sgmse/ncsnpp_utils/op/__init__.py
create mode 100644 modules/sgmse/ncsnpp_utils/op/fused_act.py
create mode 100644 modules/sgmse/ncsnpp_utils/op/fused_bias_act.cpp
create mode 100644 modules/sgmse/ncsnpp_utils/op/fused_bias_act_kernel.cu
create mode 100644 modules/sgmse/ncsnpp_utils/op/upfirdn2d.cpp
create mode 100644 modules/sgmse/ncsnpp_utils/op/upfirdn2d.py
create mode 100644 modules/sgmse/ncsnpp_utils/op/upfirdn2d_kernel.cu
create mode 100644 modules/sgmse/ncsnpp_utils/up_or_down_sampling.py
create mode 100644 modules/sgmse/ncsnpp_utils/utils.py
create mode 100644 modules/sgmse/sampling/__init__.py
create mode 100644 modules/sgmse/sampling/correctors.py
create mode 100644 modules/sgmse/sampling/predictors.py
create mode 100644 modules/sgmse/sdes.py
create mode 100644 modules/sgmse/shared.py
create mode 100644 preprocessors/wsj0reverb.py
diff --git a/bins/sgmse/inference.py b/bins/sgmse/inference.py
new file mode 100644
index 00000000..9e5e2a60
--- /dev/null
+++ b/bins/sgmse/inference.py
@@ -0,0 +1,75 @@
+# Copyright (c) 2023 Amphion.
+#
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+from argparse import ArgumentParser
+import os
+
+from models.sgmse.dereverberation.dereverberation_inference import DereverberationInference
+from utils.util import save_config, load_model_config, load_config
+import numpy as np
+import torch
+
+
+def build_inference(args, cfg):
+ supported_inference = {
+ "dereverberation": DereverberationInference,
+ }
+
+ inference_class = supported_inference[cfg.model_type]
+ inference = inference_class(args, cfg)
+ return inference
+
+
+def build_parser():
+ parser = argparse.ArgumentParser()
+
+ parser.add_argument(
+ "--config",
+ type=str,
+ required=True,
+ help="JSON/YAML file for configurations.",
+ )
+ parser.add_argument(
+ "--checkpoint_path",
+ type=str,
+ )
+ parser.add_argument("--test_dir", type=str, required=True,
+ help='Directory containing the test data (must have subdirectory noisy/)')
+ parser.add_argument("--corrector_steps", type=int, default=1, help="Number of corrector steps")
+ parser.add_argument(
+ "--output_dir",
+ type=str,
+ default=None,
+ help="Output dir for saving generated results",
+ )
+ parser.add_argument("--snr", type=float, default=0.33, help="SNR value for (annealed) Langevin dynmaics.")
+ parser.add_argument("--N", type=int, default=50, help="Number of reverse steps")
+ parser.add_argument("--local_rank", default=0, type=int)
+ return parser
+
+
+def main():
+ # Parse arguments
+ args = build_parser().parse_args()
+ # args, infer_type = formulate_parser(args)
+
+ # Parse config
+ cfg = load_config(args.config)
+ if torch.cuda.is_available():
+ args.local_rank = torch.device("cuda")
+ else:
+ args.local_rank = torch.device("cpu")
+ print("args: ", args)
+
+ # Build inference
+ inferencer = build_inference(args, cfg)
+
+ # Run inference
+ inferencer.inference()
+
+
+if __name__ == "__main__":
+ main()
diff --git a/bins/sgmse/preprocess.py b/bins/sgmse/preprocess.py
new file mode 100644
index 00000000..22e1e860
--- /dev/null
+++ b/bins/sgmse/preprocess.py
@@ -0,0 +1,53 @@
+# Copyright (c) 2023 Amphion.
+#
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+import faulthandler
+
+faulthandler.enable()
+import os
+import argparse
+import json
+from multiprocessing import cpu_count
+from utils.util import load_config
+from preprocessors.processor import preprocess_dataset
+
+
+def preprocess(cfg):
+ """Proprocess raw data of single or multiple datasets (in cfg.dataset)
+
+ Args:
+ cfg (dict): dictionary that stores configurations
+ """
+ # Specify the output root path to save the processed data
+ output_path = cfg.preprocess.processed_dir
+ os.makedirs(output_path, exist_ok=True)
+
+ ## Split train and test sets
+ for dataset in cfg.dataset:
+ print("Preprocess {}...".format(dataset))
+
+ preprocess_dataset(
+ dataset,
+ cfg.dataset_path[dataset],
+ output_path,
+ cfg.preprocess,
+ cfg.task_type,
+ is_custom_dataset=dataset in cfg.use_custom_dataset,
+ )
+
+
+def main():
+ parser = argparse.ArgumentParser()
+ parser.add_argument(
+ "--config", default="config.json", help="json files for configurations."
+ )
+ parser.add_argument("--num_workers", type=int, default=int(cpu_count()))
+ args = parser.parse_args()
+ cfg = load_config(args.config)
+ preprocess(cfg)
+
+
+if __name__ == "__main__":
+ main()
diff --git a/bins/sgmse/train_sgmse.py b/bins/sgmse/train_sgmse.py
new file mode 100644
index 00000000..11a7a004
--- /dev/null
+++ b/bins/sgmse/train_sgmse.py
@@ -0,0 +1,87 @@
+# Copyright (c) 2023 Amphion.
+#
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import os
+import torch
+from models.sgmse.dereverberation.dereverberation_Trainer import DereverberationTrainer
+
+from utils.util import load_config
+
+
+def build_trainer(args, cfg):
+ supported_trainer = {
+ "dereverberation": DereverberationTrainer,
+ }
+
+ trainer_class = supported_trainer[cfg.model_type]
+ trainer = trainer_class(args, cfg)
+ return trainer
+
+
+def cuda_relevant(deterministic=False):
+ torch.cuda.empty_cache()
+ # TF32 on Ampere and above
+ torch.backends.cuda.matmul.allow_tf32 = True
+ torch.backends.cudnn.enabled = True
+ torch.backends.cudnn.allow_tf32 = True
+ # Deterministic
+ torch.backends.cudnn.deterministic = deterministic
+ torch.backends.cudnn.benchmark = not deterministic
+ torch.use_deterministic_algorithms(deterministic)
+
+
+def main():
+ parser = argparse.ArgumentParser()
+ parser.add_argument(
+ "--config",
+ default="config.json",
+ help="json files for configurations.",
+ required=True,
+ )
+ parser.add_argument(
+ "--num_workers", type=int, default=4, help="Number of dataloader workers."
+ )
+ parser.add_argument(
+ "--exp_name",
+ type=str,
+ default="exp_name",
+ help="A specific name to note the experiment",
+ required=True,
+ )
+ parser.add_argument(
+ "--log_level", default="warning", help="logging level (debug, info, warning)"
+ )
+ parser.add_argument("--stdout_interval", default=5, type=int)
+ parser.add_argument("--local_rank", default=0, type=int)
+ args = parser.parse_args()
+ cfg = load_config(args.config)
+ cfg.exp_name = args.exp_name
+ args.log_dir = os.path.join(cfg.log_dir, args.exp_name)
+ os.makedirs(args.log_dir, exist_ok=True)
+ # Data Augmentation
+ if cfg.preprocess.data_augment:
+ new_datasets_list = []
+ for dataset in cfg.preprocess.data_augment:
+ new_datasets = [
+ # f"{dataset}_pitch_shift",
+ # f"{dataset}_formant_shift",
+ f"{dataset}_equalizer",
+ f"{dataset}_time_stretch",
+ ]
+ new_datasets_list.extend(new_datasets)
+ cfg.dataset.extend(new_datasets_list)
+
+ # CUDA settings
+ cuda_relevant()
+
+ # Build trainer
+ trainer = build_trainer(args, cfg)
+
+ trainer.train()
+
+
+if __name__ == "__main__":
+ main()
diff --git a/config/sgmse.json b/config/sgmse.json
new file mode 100644
index 00000000..000eb3ab
--- /dev/null
+++ b/config/sgmse.json
@@ -0,0 +1,42 @@
+{
+ "base_config": "config/base.json",
+ "dataset": [
+ "wsj0reverb"
+ ],
+ "task_type": "sgmse",
+ "preprocess": {
+ "dummy": false,
+ "num_frames":256,
+ "normalize": "noisy",
+ "hop_length": 128,
+ "n_fft": 510,
+ "spec_abs_exponent": 0.5,
+ "spec_factor": 0.15,
+ "use_spkid": false,
+ "use_uv": false,
+ "use_frame_pitch": false,
+ "use_phone_pitch": false,
+ "use_frame_energy": false,
+ "use_phone_energy": false,
+ "use_mel": false,
+ "use_audio": false,
+ "use_label": false,
+ "use_one_hot": false
+ },
+ "model": {
+ "sgmse": {
+ "backbone": "ncsnpp",
+ "sde": "ouve",
+
+ "gpus": 1
+ }
+ },
+ "train": {
+ "batch_size": 8,
+ "lr": 1e-4,
+ "ema_decay": 0.999,
+ "t_eps": 3e-2,
+ "num_eval_files": 20
+ }
+
+}
\ No newline at end of file
diff --git a/egs/sgmse/README.md b/egs/sgmse/README.md
new file mode 100644
index 00000000..ed46552a
--- /dev/null
+++ b/egs/sgmse/README.md
@@ -0,0 +1,99 @@
+# Amphion Speech Enhancement and Dereverberation with Diffusion-based Generative Models Recipe
+
+
+
+
+
+
+
+This repository contains the official PyTorch implementations for the 2023 papers:
+- Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann. [*"Speech Enhancement and Dereverberation with Diffusion-Based Generative Models"*](https://ieeexplore.ieee.org/abstract/document/10149431), IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 2351-2364, 2023.
+
+
+You can use any sgmse architecture with any dataset you want. There are three steps in total:
+
+1. Data preparation
+2. Training
+3. Inference
+
+
+> **NOTE:** You need to run every command of this recipe in the `Amphion` root path:
+> ```bash
+> cd Amphion
+> ```
+
+## 1. Data Preparation
+
+You can train the vocoder with any datasets. Amphion's supported open-source datasets are detailed [here](../../../datasets/README.md).
+
+### Configuration
+
+Specify the dataset path in `exp_config_base.json`. Note that you can change the `dataset` list to use your preferred datasets.
+
+```json
+"dataset": [
+ "wsj0reverb"
+ ],
+ "dataset_path": {
+ // TODO: Fill in your dataset path
+ "wsj0reverb": ""
+ },
+"preprocess": {
+ "processed_dir": "",
+ "sample_rate": 16000
+ },
+```
+
+## 2. Training
+
+### Configuration
+
+We provide the default hyparameters in the `exp_config_base.json`. They can work on single NVIDIA-24g GPU. You can adjust them based on you GPU machines.
+
+```json
+ "train": {
+ // TODO: Fill in your checkpoint path
+ "checkpoint": "",
+ "adam": {
+ "lr": 1e-4
+ },
+ "ddp": false,
+ "batch_size": 8,
+ "epochs": 200000,
+ "save_checkpoints_steps": 800,
+ "save_summary_steps": 1000,
+ "max_steps": 1000000,
+ "ema_decay": 0.999,
+ "valid_interval": 800,
+ "t_eps": 3e-2,
+ "num_eval_files": 20
+
+ }
+}
+```
+
+### Run
+
+Run the `run.sh` as the training stage (set `--stage 2`).
+
+```bash
+sh egs/sgmse/dereverberation/run.sh --stage 2
+```
+
+> **NOTE:** The `CUDA_VISIBLE_DEVICES` is set as `"0"` in default. You can change it when running `run.sh` by specifying such as `--gpu "0,1,2,3"`.
+
+## 3. Inference
+
+### Run
+
+Run the `run.sh` as the training stage (set `--stage 3`)
+
+```bash
+sh egs/sgmse/dereverberation/run.sh --stage 3
+ --checkpoint_path [your path]
+ --test_dir [your path]
+ --output_dir [your path]
+
+```
+
diff --git a/egs/sgmse/dereverberation/exp_config.json b/egs/sgmse/dereverberation/exp_config.json
new file mode 100644
index 00000000..cf5c4872
--- /dev/null
+++ b/egs/sgmse/dereverberation/exp_config.json
@@ -0,0 +1,69 @@
+{
+ "base_config": "config/sgmse.json",
+ "model_type": "dereverberation",
+ "dataset": [
+ "wsj0reverb"
+ ],
+ "dataset_path": {
+ // TODO: Fill in your dataset path
+ "wsj0reverb": ""
+ },
+ "log_dir": "",
+ "preprocess": {
+ "processed_dir": "",
+ "sample_rate": 16000
+ },
+ "model": {
+ "sgmse": {
+ "backbone": "ncsnpp",
+ "sde": "ouve",
+ "ncsnpp": {
+ "scale_by_sigma": true,
+ "nonlinearity": "swish",
+ "nf": 128,
+ "ch_mult": [1, 1, 2, 2, 2, 2, 2],
+ "num_res_blocks": 2,
+ "attn_resolutions": [16],
+ "resamp_with_conv": true,
+ "conditional": true,
+ "fir": true,
+ "fir_kernel": [1, 3, 3, 1],
+ "skip_rescale": true,
+ "resblock_type": "biggan",
+ "progressive": "output_skip",
+ "progressive_input": "input_skip",
+ "progressive_combine": "sum",
+ "init_scale": 0.0,
+ "fourier_scale": 16,
+ "image_size": 256,
+ "embedding_type": "fourier",
+ "dropout": 0.0,
+ "centered": true
+ },
+ "ouve": {
+ "theta": 1.5,
+ "sigma_min": 0.05,
+ "sigma_max": 0.5,
+ "N": 1000
+ },
+ "gpus": 1
+ }
+ },
+ "train": {
+ "checkpoint": "",
+ "adam": {
+ "lr": 1e-4
+ },
+ "ddp": false,
+ "batch_size": 8,
+ "epochs": 200000,
+ "save_checkpoints_steps": 800,
+ "save_summary_steps": 1000,
+ "max_steps": 1000000,
+ "ema_decay": 0.999,
+ "valid_interval": 800,
+ "t_eps": 3e-2,
+ "num_eval_files": 20
+
+ }
+}
diff --git a/egs/sgmse/dereverberation/run.sh b/egs/sgmse/dereverberation/run.sh
new file mode 100644
index 00000000..b1aa00f4
--- /dev/null
+++ b/egs/sgmse/dereverberation/run.sh
@@ -0,0 +1,97 @@
+# Copyright (c) 2023 Amphion.
+#
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+######## Build Experiment Environment ###########
+exp_dir=$(cd `dirname $0`; pwd)
+work_dir=$(dirname $(dirname $(dirname $exp_dir)))
+
+
+export WORK_DIR=$work_dir
+export PYTHONPATH=$work_dir
+export PYTHONIOENCODING=UTF-8
+export PYTORCH_CUDA_ALLOC_CONF="max_split_size_mb:100"
+
+######## Parse the Given Parameters from the Commond ###########
+options=$(getopt -o c:n:s --long gpu:,config:,name:,stage:,checkpoint:,resume_type:,main_process_port:,infer_mode:,infer_datasets:,infer_feature_dir:,infer_audio_dir:,infer_expt_dir:,infer_output_dir:,checkpoint_path:,test_dir:,output_dir: -- "$@")
+eval set -- "$options"
+export CUDA_VISIBLE_DEVICES="0"
+while true; do
+ case $1 in
+ # Experimental Configuration File
+ -c | --config) shift; exp_config=$1 ; shift ;;
+ # Experimental Name
+ -n | --name) shift; exp_name=$1 ; shift ;;
+ # Running Stage
+ -s | --stage) shift; running_stage=$1 ; shift ;;
+ # Visible GPU machines. The default value is "0".
+ --gpu) shift; gpu=$1 ; shift ;;
+ --checkpoint_path) shift; checkpoint_path=$1 ; shift ;;
+ --test_dir) shift; test_dir=$1 ; shift ;;
+ --output_dir) shift; output_dir=$1 ; shift ;;
+ # [Only for Training] The specific checkpoint path that you want to resume from.
+ --checkpoint) shift; checkpoint=$1 ; shift ;;
+ # [Only for Traiing] `main_process_port` for multi gpu training
+ --main_process_port) shift; main_process_port=$1 ; shift ;;
+
+ # [Only for Inference] The inference mode
+ --infer_mode) shift; infer_mode=$1 ; shift ;;
+ # [Only for Inference] The inferenced datasets
+ --infer_datasets) shift; infer_datasets=$1 ; shift ;;
+ # [Only for Inference] The feature dir for inference
+ --infer_feature_dir) shift; infer_feature_dir=$1 ; shift ;;
+ # [Only for Inference] The audio dir for inference
+ --infer_audio_dir) shift; infer_audio_dir=$1 ; shift ;;
+ # [Only for Inference] The experiment dir. The value is like "[Your path to save logs and checkpoints]/[YourExptName]"
+ --infer_expt_dir) shift; infer_expt_dir=$1 ; shift ;;
+ # [Only for Inference] The output dir to save inferred audios. Its default value is "$expt_dir/result"
+ --infer_output_dir) shift; infer_output_dir=$1 ; shift ;;
+
+ --) shift ; break ;;
+ *) echo "Invalid option: $1" exit 1 ;;
+ esac
+done
+
+
+### Value check ###
+if [ -z "$running_stage" ]; then
+ echo "[Error] Please specify the running stage"
+ exit 1
+fi
+
+if [ -z "$exp_config" ]; then
+ exp_config="${exp_dir}"/exp_config.json
+fi
+echo "Exprimental Configuration File: $exp_config"
+
+if [ -z "$gpu" ]; then
+ gpu="0"
+fi
+
+if [ -z "$main_process_port" ]; then
+ main_process_port=29500
+fi
+echo "Main Process Port: $main_process_port"
+
+######## Features Extraction ###########
+if [ $running_stage -eq 1 ]; then
+ CUDA_VISIBLE_DEVICES=$gpu python "${work_dir}"/bins/sgmse/preprocess.py \
+ --config $exp_config \
+ --num_workers 8
+fi
+######## Training ###########
+if [ $running_stage -eq 2 ]; then
+ CUDA_VISIBLE_DEVICES=$gpu python "${work_dir}"/bins/sgmse/train_sgmse.py \
+ --config "$exp_config" \
+ --exp_name "$exp_name" \
+ --log_level info
+ fi
+
+if [ $running_stage -eq 3 ]; then
+ CUDA_VISIBLE_DEVICES=$gpu python "${work_dir}"/bins/sgmse/inference.py \
+ --config=$exp_config \
+ --checkpoint_path=$checkpoint_path \
+ --test_dir="$test_dir" \
+ --output_dir=$output_dir
+ fi
\ No newline at end of file
diff --git a/env.sh b/env.sh
index 10ef7ff1..1722c4ae 100644
--- a/env.sh
+++ b/env.sh
@@ -28,5 +28,6 @@ pip install phonemizer==3.2.1 pypinyin==0.48.0
pip install black==24.1.1
+pip install torch-ema ninja
# Uninstall nvidia-cublas-cu11 if there exist some bugs about CUDA version
# pip uninstall nvidia-cublas-cu11
diff --git a/imgs/sgmse/diffusion_process.png b/imgs/sgmse/diffusion_process.png
new file mode 100644
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