This repository provides methods which based on full-band and narrow-band fusion network for sound source localization. The narrow-band module processes the along-time sequences to focus on learning these narrow-band spatial information. The full-band module processes the along-frequency sequence to focus on learning the full-band correlation of spatial cues, such as the linear relation of DP-IPD to frequency.
Two official implemented sound source localization methods are included:
- "FN-SSL: Full-Band and Narrow-Band Fusion for Sound Source Localization" , INTERSPEECH, 2023.
- "IPDnet: A Universal Direct-Path IPD Estimation Network for Sound Source Localization"
- Source signals: from LibriSpeech database
- Real-world multi-channel microphone signals: from LOCATA database
-
Preparation
- Download the required dataset and organize the data according to the data_org in the data folder.
- Generate multi-channel data, You can set data_num (in Simu.py) to control the size of the dataset. --train, -- test, --dev are used to control the generation of train dataset, test dataset, and validation dataset, respectively. The source data path of them are specified by dirs ['sousig_train '] in Opt.py.
python Simu.py --train/--test/--dev -
Training
- We have implemented both FN-SSL and IPDnet using the Pytorch-lightning framework.
- For Train,
python main.py fit --data.batch_size=[*,*] --trainer.devices=*,*- For test,
python main.py test --ckpt_path logs/MyModel/version_x/checkpoints/**.ckpt --trainer.devices=*,* -
Pretrained models
- Using the FN_lightning model to load the lightning checkpoint in torch framework.
| Framework | Task | Checkpoint |
|---|---|---|
| Lightning | DP-IPD regression (FN-SSL) | https://pan.baidu.com/s/1zRKpiqbSuo80Xu5ZRoS1gQ?pwd=6w51 |
| Lightning | DOA classification (FN-SSL) | https://pan.baidu.com/s/1U1Wl5ZBZBItc2Vku7AyqNA?pwd=ceqm |
more checkpoints will be update soon.
If you find our work useful in your research, please consider citing:
@InProceedings{wang2023fnssl,
author = "Yabo Wang and Bing Yang and Xiaofei Li",
title = "FN-SSL: Full-Band and Narrow-Band Fusion for Sound Source Localization",
booktitle = "Proceedings of INTERSPEECH",
year = "2023",
pages = ""}
MIT