#HRTF Model for Sound Source Localization
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Computational model for sound source localization in the vertical plane based in learned HRTFs from the CIPIC database [1].
Experiments described here are found in src/models/ as separate folders.
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single_participant_exp : Experiments show localization results for a single participant (localize_sound.py) in the median plane. A variation of this experiment is the localize_sound_differten_azi.py which allows to choose the azimuth angle from which sounds originate. The learned map remains at 0 °.
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hrtfs_comparison_exp : Here we compare the resulted learned spectral map with the actual HRTF of a participant with calculated correlation coefficients.
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all_participants_exp: Experiments show localization results over all participants (localize_sound.py) in the median plane. A variation of this experiment is the localize_sound_differten_azi.py which allows to choose the azimuth angle from which sounds originate. The learned map remains at 0 °.
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├── LICENSE
├── Makefile <- Makefile with commands like `make data` or `make train`
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── docs <- A default Sphinx project; see sphinx-doc.org for details
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── references <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Generated graphics and figures to be used in reporting
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
├── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── data <- Scripts to download or generate data
│ │ └── make_dataset.py
│ │
│ ├── features <- Scripts to turn raw data into features for modeling
│ │ └── build_features.py
│ │
│ ├── models <- Scripts to train models and then use trained models to make
│ │ │ predictions
│ │ ├── predict_model.py
│ │ └── train_model.py
│ │
│ └── visualization <- Scripts to create exploratory and results oriented visualizations
│ └── visualize.py
│
└── tox.ini <- tox file with settings for running tox; see tox.testrun.org
Project based on the cookiecutter data science project template. #cookiecutterdatascience
[1] Algazi, V Ralph and Duda, Richard O and Thompson, Dennis M and Avendano, Carlos (2001). The cipic hrtf database. Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No. 01TH8575).