README.md

---
license: mit
task_categories:
- audio-to-audio
language:
- en
---

# Dataset Card for LenslessMic Version of Librispeech Dataset

## Dataset Summary
A LenslessMic version of the [Librispeech](https://huggingface.co/datasets/openslr/librispeech_asr) dataset from the
["LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging"](https://arxiv.org/abs/2509.16418) paper.

| Partition   | # Audio | # Frames |
|--------------|---------|----------|
| train-clean  | 587     | 73,699   |
| train-other  | 150     | 18,561   |
| test-clean   | 1,089   | 185,773  |
| test-other   | 512     | 62,901   |

To download the dataset and work with it, use our [official repository](https://github.com/Blinorot/LenslessMic).

Dataset is collected using [DigiCam](https://arxiv.org/abs/2502.01102). Setup configuration:

| Parameter                                 | Value              |
|-------------------------------------------|--------------------|
| Screen Size                               | [1920, 1200]       |
| Screen Pixel-Pitch                        | 0.27 mm            |
| Screen-To-Mask Distance                   | 30e-2 m            |
| Sensor Size                               | [4056, 3040]       |
| Sensor Size Downsample Coefficient        | 8                  |
| Sensor Pixel-Pitch                        | 1.55 × 10⁻⁶ m      |
| Mask-To-Sensor Distance                   | ≈ 4e-3 m           |
| Image size on the Screen (256 case)       | 928 × 928          |
| Image size on the Screen (288 case)       | 1044 × 1044        |
| Vertical Shift on the Screen (256 case)   | -23                |
| Vertical Shift on the Screen (288 case)   | -20                |
| Number of masks                           | 100                |
| Mask Aperture Shape (for 1/3 channels)    | [18, 24]           |
| Mask Center                               | [55, 77]           |

For other configuration, please refer to the codebase above.

## Dataset Structure
Dataset is structured in the following format:

```
.
└── partition_name
    ├── audio # for original audio
    |   ├── filename_i.flac # i-th audio file
    |   └── filename_i.txt  # transcription of the i-th audio file
    └── neural_audio_codec_name
        ├── lensed # lensed version of the video representation
        |   ├── filename_i.mkv # normalized video representation of i-th audio file using this codec
        |   ├── filename_i_max_vals.pth # per-frame max values before normalization
        |   └── filename_i_min_vals.pth # per-frame min values before normalization
        └── lensless_measurement # lensless version captured using LenslessMic
            ├── filename_i.mkv # lensless video of the i-th audio file
            ├── filename_i.txt # label 'j' of the mask from the masks dir used for this video
            └── masks # masks for the lensless camera
                └── mask_j.npy # mask pattern
```

Codecs used:

1. [Original 16khz DAC](https://arxiv.org/abs/2306.06546): `32x32_120_16khz_original`.
2. [Fine-tuned DAC](https://github.com/Blinorot/descript-audio-codec/blob/main/conf/custom/16x16_130_16khz.yml)
   with additional 13-th codebook and 256 latent size instead of 1024: `16x16_130_16khz`.
3. [X-codec](https://arxiv.org/abs/2408.17175): `32x32_80_16khz_xcodec_hubert_general_audio`.

Some codecs have different types of lensless measurements:

1. `lensless_measurement`: standard version. Resizes images in a screen in a such a way that they have size 256x256 on the sensor.
2. `lensless_measurement_group_n_m_r_c`: groupped version, i.e., frames are groupped into n*m grid with additional r
    pixels between rows and c pixels between columns. Still 256x256 on the sensor.
3. `lensless_measurement288x288_group_n_m_r_c`: the same as standard groupped version but 288x288 image on the sensor.

Region of interest for the reconstruction for this dataset is:

| Sensor Image Size | Top Left Corner | Height | Width |
| ----------------- | --------------- | ------ | ----- |
| 256 x 256         | [65, 118]       | 256    | 256   |
| 288 x 288         | [47, 103]       | 288    | 288   |


## Citation

If you use this dataset, please cite it as follows:

```bibtex
@article{grinberg2025lenslessmic,
  title = {LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging},
  author = {Grinberg, Petr and Bezzam, Eric and Prandoni, Paolo and Vetterli, Martin},
  journal = {arXiv preprint arXiv:2509.16418},
  year = {2025},
}
```