| --- |
| annotations_creators: |
| - machine-generated |
| language: |
| - en |
| language_creators: |
| - found |
| license: |
| - cc-by-4.0 |
| multilinguality: |
| - monolingual |
| pretty_name: SpARZ |
| size_categories: |
| - 10K<n<100K |
| source_datasets: |
| - original |
| tags: |
| - audio |
| - audio-visual-zooming |
| - room-acoustics |
| - spatial-audio |
| - speech-enhancement |
| - source-separation |
| - speech |
| task_categories: |
| - audio-to-audio |
| --- |
| |
| # Dataset Card for SpARZ |
|
|
| ## Table of Contents |
| - [Dataset Description](#dataset-description) |
| - [Dataset Summary](#dataset-summary) |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| - [Languages](#languages) |
| - [Dataset Structure](#dataset-structure) |
| - [Data Instances](#data-instances) |
| - [Data Fields](#data-fields) |
| - [Data Splits](#data-splits) |
| - [Dataset Creation](#dataset-creation) |
| - [Curation Rationale](#curation-rationale) |
| - [Source Data](#source-data) |
| - [Annotations](#annotations) |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) |
| - [Considerations for Using the Data](#considerations-for-using-the-data) |
| - [Social Impact of Dataset](#social-impact-of-dataset) |
| - [Discussion of Biases](#discussion-of-biases) |
| - [Other Known Limitations](#other-known-limitations) |
| - [Additional Information](#additional-information) |
| - [Dataset Curators](#dataset-curators) |
| - [Licensing Information](#licensing-information) |
| - [Citation Information](#citation-information) |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** [RDSE Project Page](https://danish-research.github.io/rdse-research.github.io/) |
| - **Repository:** [GitHub](https://github.com/Chinmay-Deo-2004/RDSE) |
| - **Paper:** [arXiv:2610.12476](https://arxiv.org/abs/2610.12476) |
| - **Leaderboard:** N/A |
| - **Point of Contact:** [Danish Mahajan](mailto:mahajandanish581@gmail.com) |
|
|
| ### Dataset Summary |
|
|
| The SpARZ dataset is designed for Audio Visual Zooming tasks. It was introduced and accepted at **IECON 26** for the paper titled: **"RDSE: Real-Time Directional Speech Enhancement Framework for Dual-Mic Commodity Smartphones"**. The dataset features complex room acoustics, varying reverberation times (RT60), and different interference angles and Signal-to-Noise Ratios (SNRs) to simulate realistic spatial audio environments. |
|
|
| > [!NOTE] |
| > **Paper Evaluation Subset:** While this repository contains the full, comprehensively varied dataset, the results reported in the IECON 26 paper were evaluated on a specific subset referred to in the paper as **SpARZ 100**. This corresponds to the simulated room with dimensions **4.9m x 4.9m x 4.9m** at two specific reverberation times: **RT60 = 0.0** and **RT60 = 0.5**. If you wish to reproduce or compare against the paper's exact results on the SpARZ 100 subset, you should use the folders for this specific room setting (e.g., `room_4.9x4.9x4.9m__rt60_0.0__ang_30__snr_5` and `room_4.9x4.9x4.9m__rt60_0.5__ang_30__snr_5`). |
|
|
| ### Supported Tasks and Leaderboards |
|
|
| - `audio-visual-zooming` |
| - `speech-enhancement` |
| - `source-separation` |
|
|
| ### Languages |
|
|
| English (`en`) |
|
|
| ## Dataset Structure |
|
|
| ### How to Use |
| The audio data is distributed as a single `SpARZ.tar` archive to preserve directory structures and speed up downloading. To use the dataset, simply download the `.tar` file and extract it: |
| ```bash |
| tar -xf SpARZ.tar |
| ``` |
|
|
| ### Data Instances |
|
|
| Each sample in the dataset is structured within a sub-folder that defines the acoustic parameters (e.g., room dimensions, RT60, interference angle, SNR). Inside each sample folder (e.g., `sample_00`), there is a `meta.json` containing the metadata for the audio sample. |
|
|
| Example `meta.json`: |
| ```json |
| { |
| "sample_id": 0, |
| "cell_id": 0, |
| "room_dims": [3.0, 4.0, 3.0], |
| "rt60": 0.0, |
| "target_angle_deg": 90, |
| "interferer_angle_deg": 0, |
| "sir_db": 0.0, |
| "snr_db": 0, |
| "target_audio_path": "datasets/LibriSpeech/train-clean-100/302/123504/302-123504-0011.flac", |
| "interferer_audio_path": "datasets/musan/speech/us-gov/speech-us-gov-0210.wav", |
| "clip_duration_s": 5.0, |
| "sample_rate": 16000 |
| } |
| ``` |
|
|
| ### Data Fields |
|
|
| - `sample_id`: Unique identifier for the sample. |
| - `cell_id`: Spatial cell identifier. |
| - `room_dims`: Dimensions of the simulated room [x, y, z] in meters. |
| - `rt60`: Reverberation time in seconds. |
| - `target_angle_deg`: Angle of the target source in degrees. |
| - `interferer_angle_deg`: Angle of the interfering source in degrees. |
| - `sir_db`: Signal-to-Interference Ratio in dB. |
| - `snr_db`: Signal-to-Noise Ratio in dB. |
| - `target_audio_path`: Path to the original target audio (e.g., LibriSpeech). |
| - `interferer_audio_path`: Path to the original interferer audio (e.g., MUSAN). |
| - `clip_duration_s`: Duration of the audio clip in seconds. |
| - `sample_rate`: Sampling rate of the audio in Hz. |
|
|
| ### Data Splits |
|
|
| The dataset is provided as a single, unified collection of audio samples. There are no predefined Train, Validation, or Test splits. Researchers can split the dataset based on their specific experimental requirements. |
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
|
|
| The SpARZ dataset was developed to advance research in audio visual zooming and real-time directional speech enhancement by providing highly realistic, parametrically varied acoustic environments. |
|
|
| ### Source Data |
|
|
| #### Initial Data Collection and Normalization |
|
|
| The target speech is sourced from [LibriSpeech](https://www.openslr.org/12) and the interferer noise/speech is sourced from [MUSAN](https://www.openslr.org/17/). These are mixed synthetically using spatial acoustic simulators to generate the final audio. |
|
|
| ## Additional Information |
|
|
| ### Dataset Curators |
|
|
| This dataset was developed as part of a collaborative research effort by the authors of the RDSE framework (Chinmay Deo, Danish Mahajan, Soudeep Ghoshal, and Himanshu Buckchash). |
|
|
| ### Licensing Information |
|
|
| Creative Commons Attribution 4.0 International (CC-BY-4.0) |
|
|
| ### Citation Information |
|
|
| If you use this dataset, please cite the corresponding IECON 26 paper: |
|
|
| ```bibtex |
| @inproceedings{deo2026rdse, |
| title = {{RDSE}: Real-Time Directional Speech Enhancement Framework for Dual-Mic Commodity Smartphones}, |
| author = {Deo, Chinmay and Mahajan, Danish and Ghoshal, Soudeep and Buckchash, Himanshu}, |
| booktitle = {Proceedings of the 52nd Annual Conference of the IEEE Industrial Electronics Society (IECON)}, |
| address = {Doha, Qatar}, |
| month = oct, |
| year = {2026}, |
| note = {Accepted; to appear. Preprint: arXiv:2610.12476}, |
| } |
| ``` |
|
|
