{
 "id": "carankt/SmartHearingAids-data",
 "owner": "carankt",
 "name": "SmartHearingAids-data",
 "downloads": 313,
 "likes": 0,
 "last_modified": "2026-05-16T03:54:22.000Z",
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 "licence_name": null,
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 "file_licence": "mit",
 "licence_files": [
  "LICENSE"
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 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{10.1145/3586183.3606779,\nauthor = {Veluri, Bandhav and Itani, Malek and Chan, Justin and Yoshioka, Takuya and Gollakota, Shyamnath},\ntitle = {Semantic Hearing: Programming Acoustic Scenes with Binaural Hearables},\nyear = {2023},\nisbn = {9798400701320},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3586183.3606779},\ndoi = {10.1145/3586183.3606779},\nabstract = {Imagine being able to listen to the birds chirping in a park without hearing the chatter from other hikers, or being able to block out traffic noise on a busy street while still being able to hear emergency sirens and car honks. We introduce semantic hearing, a novel capability for hearable devices that enables them to, in real-time, focus on, or ignore, specific sounds from real-world environments, while also preserving the spatial cues. To achieve this, we make two technical contributions: 1) we present the first neural network that can achieve binaural target sound extraction in the presence of interfering sounds and background noise, and 2) we design a training methodology that allows our system to generalize to real-world use. Results show that our system can operate with 20 sound classes and that our transformer-based network has a runtime of 6.56 ms on a connected smartphone. In-the-wild evaluation with participants in previously unseen indoor and outdoor scenarios shows that our proof-of-concept system can extract the target sounds ",
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 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "1caf95f1462258755fa4b5f07e470c246d1443f7",
 "stated_evidence": "https://huggingface.co/datasets/carankt/SmartHearingAids-data/blob/1caf95f1462258755fa4b5f07e470c246d1443f7/README.md",
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}