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--- |
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license: mit |
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task_categories: |
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- audio-classification |
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- audio-to-audio |
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language: |
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- en |
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tags: |
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- universal_sound_separation |
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- auditory_scene_analysis |
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pretty_name: ASA2 dataset |
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--- |
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<h1 align="center">🎧 Auditory Scene Analysis 2 (ASA2) Dataset </h1> |
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We constructed a new dataset for multichannel USS and polyphonic audio classification tasks. The proposed dataset is designed to reflect various conditions, including moving sources with temporal onsets and offsets. For foreground sound sources, signals from 13 audio classes were selected from open-source databases (Pixabay¹, FSD50K, Librispeech, MUSDB18, Vocalsound). These signals were resampled to 16 kHz and pre-processed by either padding zeros or cropping to 4 seconds. Each sound source has a 75% probability of being a moving source, with speeds ranging from 0 to 3 m/s. The dataset features between 2 to 5 foreground sound sources, along with one background noise from the diffused TAU-SNoise dataset² with a signal-to-noise ratio (SNR) ranging from 6 to 30 dB. The simulations were conducted using gpuRIR. Room dimensions were set to a width and length between 5 and 8 meters, and a height between 3 and 4 meters, with reverberation times ranging from 0.2 to 0.6 seconds. These parameters were sampled from uniform distributions. We simulated spatialized sound sources using a 4-channel tetrahedral microphone array with a radius of 4.2 cm. The procedure for dataset generation is illustrated in the below figure, and details about class configuration and durations of audio clips are provided in the below table. This dataset poses a significant challenge for separation tasks due to the inclusion of moving sources, onset and offset conditions, overlapped in-class sources, and noisy reverberant environments. |
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--- |
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# 📦 How to Download the ASA Dataset V2 (Linux) |
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This guide explains how to download and extract the **ASA Dataset** from [Hugging Face](https://huggingface.co/datasets/donghoney0416/ASA-dataset/tree/main) using Linux command-line tools. |
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## 📁 1. Prerequisites |
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Ensure the following tools are installed: |
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```bash |
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sudo apt update |
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sudo apt install wget unzip |
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``` |
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## 📥 2. Download All Dataset Parts |
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There are 17 parts in total: `dataset.z01` through `dataset.z16`, and `dataset.zip`. You can download them with: |
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```bash |
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mkdir ASA-dataset && cd ASA-dataset |
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# Set the base URL |
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BASE_URL="https://huggingface.co/datasets/donghoney0416/ASA-dataset/resolve/main" |
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# Download dataset.z01 to dataset.z16 |
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for i in $(seq -w 1 16); do |
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wget "${BASE_URL}/dataset.z${i}" |
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done |
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# Download the final part |
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wget "${BASE_URL}/dataset.zip" |
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``` |
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## 🔗 3. Merge and Extract the Dataset |
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These files are split parts of a single zip archive. You only need to run: |
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```bash |
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unzip dataset.zip |
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``` |
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This will automatically merge all parts and extract the dataset. |
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## 🧹 4. (Optional) Clean Up |
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After extraction, you can delete the original zip files: |
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```bash |
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rm dataset.z* dataset.zip |
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``` |
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## 📌 Notes |
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- These are standard split zip archives; `unzip` is sufficient to both merge and extract. |
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- Make sure all 17 files are in the **same directory** before running `unzip`. |
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<p align="center"> |
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<img src="dataset_table.PNG" width="70%"> |
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</p> |
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<p align="center"> |
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<img src="Dataset_revised.png" width="50%"> |
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</p> |
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--- |
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license: mit |
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--- |
