Link the public arXiv paper
Browse files- CITATION.cff +10 -5
- README.md +13 -7
CITATION.cff
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cff-version: 1.2.0
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message: >-
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If you use SAID, please cite the accompanying
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title: Semantic Acoustic Imaging Detector (SAID)
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type: software
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version: 1.0.0
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authors:
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- family-names: Wang
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given-names: Runbang
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preferred-citation:
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type:
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title: >-
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SAID: Semantic Acoustic Imaging Detector for Sound Event Localization and
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Detection
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given-names: Yin
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- family-names: Kong
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given-names: Qiuqiang
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year: 2026
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cff-version: 1.2.0
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message: >-
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If you use SAID, please cite the accompanying paper.
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title: Semantic Acoustic Imaging Detector (SAID)
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type: software
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version: 1.0.0
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authors:
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- family-names: Wang
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given-names: Runbang
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repository-code: https://github.com/IN03X/SAID
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preferred-citation:
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type: article
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title: >-
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SAID: Semantic Acoustic Imaging Detector for Sound Event Localization and
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Detection
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given-names: Yin
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- family-names: Kong
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given-names: Qiuqiang
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status: preprint
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identifiers:
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- type: other
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value: arXiv:2609.31492
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description: arXiv identifier
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url: https://arxiv.org/abs/2609.31492
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notes: Accepted at the DCASE 2026 Workshop
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year: 2026
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README.md
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<a href="https://github.com/IN03X/SAID"><img src="https://img.shields.io/badge/GitHub-181717?style=flat-square" alt="GitHub"></a>
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<a href="https://huggingface.co/IN03X/SAID"><img src="https://img.shields.io/badge/Hugging%20Face-FFD21E?style=flat-square" alt="Hugging Face"></a>
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<a href="https://dcase.community/challenge2026/task-semantic-acoustic-imaging-for-sound-event-localization-and-detection-from-spatial-audio-and-audiovisual-scenes-results"><img src="https://img.shields.io/badge/DCASE2026%20Results-1F7A4D?style=flat-square" alt="DCASE2026 Results"></a>
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</p>
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<p align="center">
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## Overview
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SAID predicts a separate **labeled acoustic map** for every active sound source
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from four-channel spatial audio. Each 180 × 360 map represents the source
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region, its acoustic energy, and its sound-event class. Audio2Sph organizes
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If you use SAID, please cite:
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```bibtex
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@
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title
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author
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}
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```
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<a href="https://github.com/IN03X/SAID"><img src="https://img.shields.io/badge/GitHub-181717?style=flat-square" alt="GitHub"></a>
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<a href="https://huggingface.co/IN03X/SAID"><img src="https://img.shields.io/badge/Hugging%20Face-FFD21E?style=flat-square" alt="Hugging Face"></a>
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<a href="https://dcase.community/challenge2026/task-semantic-acoustic-imaging-for-sound-event-localization-and-detection-from-spatial-audio-and-audiovisual-scenes-results"><img src="https://img.shields.io/badge/DCASE2026%20Results-1F7A4D?style=flat-square" alt="DCASE2026 Results"></a>
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<a href="https://arxiv.org/abs/2609.31492"><img src="https://img.shields.io/badge/arXiv-2609.31492-B31B1B?style=flat-square" alt="arXiv"></a>
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</p>
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<p align="center">
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## Overview
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Accepted at the DCASE 2026 Workshop.
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SAID predicts a separate **labeled acoustic map** for every active sound source
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from four-channel spatial audio. Each 180 × 360 map represents the source
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region, its acoustic energy, and its sound-event class. Audio2Sph organizes
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If you use SAID, please cite:
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```bibtex
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@article{wang2026said,
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title = {{SAID}: Semantic Acoustic Imaging Detector for Sound Event
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Localization and Detection},
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author = {Wang, Runbang and Liang, Zining and Cao, Yin and Kong, Qiuqiang},
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year = {2026},
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eprint = {2609.31492},
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archivePrefix = {arXiv},
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primaryClass = {eess.AS},
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url = {https://arxiv.org/abs/2609.31492},
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note = {Accepted at the DCASE 2026 Workshop}
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}
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```
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