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MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio

์ž‘์„ฑ์ž
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์ €์ž

Harshit Rajgarhia, Shuubham Ojha, Asif Shaik, Akhil Pothanapalli, Rachuri Lokesh, Abhishek Mukherji, Prasanna Desikan

๐Ÿ’ก ๊ฐœ์š”

๊ฐœ์ธ ์ •๋ณด ๋ณดํ˜ธ ๊ทœ์ œ์™€ ๋†’์€ ์ „๋ฌธ ์ง€์‹ ์š”๊ตฌ๋กœ ์ธํ•ด ์˜๋ฃŒ ์˜ค๋””์˜ค ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘์ด ์–ด๋ ต๋‹ค๋Š” ๋ฌธ์ œ์ ์„ ์ธ์‹ํ•˜์—ฌ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‹ค์–‘ํ•œ ์˜๋ฃŒ ์˜ค๋””์˜ค ์œ ํ˜•๊ณผ ๋ณต์žกํ•œ ์ž„์ƒ ์ƒํ™ฉ์„ ํฌ๊ด„ํ•˜๋Š” ๋Œ€๊ทœ๋ชจ ์˜๋ฃŒ ์˜ค๋””์˜ค ์งˆ์˜์‘๋‹ต ๋ฐ์ดํ„ฐ์…‹์ธ MedMosaic์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. MedMosaic์€ ์ƒ๋ฆฌํ•™์  ์†Œ๋ฆฌ, ์ธ๊ณต ์Œ์„ฑ, ์‹ค์ œ ์ž„์ƒ ๋Œ€ํ™” ๋“ฑ์„ ํฌํ•จํ•˜๋ฉฐ, ๊ฐ๊ด€์‹, ์ˆœ์ฐจ์  ๋‹ค์ค‘ ํ„ด, ๊ฐœ๋ฐฉํ˜• ์งˆ๋ฌธ ๋“ฑ 46,701๊ฐœ์˜ ์งˆ๋ฌธ-์‘๋‹ต ์Œ์„ ์ œ๊ณตํ•˜์—ฌ ๋‹ค๋‹จ๊ณ„ ์ถ”๋ก  ๋ฐ ๋‹ต๋ณ€ ์ƒ์„ฑ ๋Šฅ๋ ฅ์„ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ฉ๋‹ˆ๋‹ค.

๐Ÿ”‘ ์‹œ์‚ฌ์  ๋ฐ ํ•œ๊ณ„

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์˜๋ฃŒ ์˜ค๋””์˜ค ๋ฐ์ดํ„ฐ์˜ ๋‹ค์–‘์„ฑ๊ณผ ๋ณต์žก์„ฑ์„ ๋ฐ˜์˜ํ•˜๋Š” ๋Œ€๊ทœ๋ชจ ๋ฒค์น˜๋งˆํฌ์˜ ํ•„์š”์„ฑ์„ ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค.
โ€ข
๊ธฐ์กด ์˜ค๋””์˜ค ๋ฐ ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ ๋ชจ๋ธ๋“ค์ด ์˜๋ฃŒ ๋ถ„์•ผ์˜ ๋ณต์žกํ•œ ์ถ”๋ก  ๋ฌธ์ œ ํ•ด๊ฒฐ์— ์—ฌ์ „ํžˆ ์–ด๋ ค์›€์„ ๊ฒช๊ณ  ์žˆ์Œ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.
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ํ˜„์žฌ ์ตœ๊ณ  ์„ฑ๋Šฅ์˜ ๋ชจ๋ธ์กฐ์ฐจ๋„ ๋†’์€ ์ •ํ™•๋„๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์–ด๋ ต๋‹ค๋Š” ์ ์—์„œ, ์˜๋ฃŒ ๋„๋ฉ”์ธ์— ํŠนํ™”๋œ ๋”์šฑ ๊ฐ•๋ ฅํ•˜๊ณ  ๊ฒฌ๊ณ ํ•œ ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ ์ถ”๋ก  ๋ชจ๋ธ ๊ฐœ๋ฐœ์˜ ํ•„์š”์„ฑ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
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๋ชจ๋“  ํ‰๊ฐ€ ๋ชจ๋ธ์—์„œ ๋‚˜ํƒ€๋‚œ ์„ฑ๋Šฅ์˜ ํŽธ์ฐจ์™€ ๋‚ฎ์€ ์ •ํ™•๋„๋Š” ์•„์ง ์˜๋ฃŒ ๋ถ„์•ผ์—์„œ์˜ AI/ML ๋ชจ๋ธ์˜ ์‹ค์งˆ์ ์ธ ์ ์šฉ์— ์žˆ์–ด ๊ทน๋ณตํ•ด์•ผ ํ•  ๊ณผ์ œ๊ฐ€ ๋งŽ์Œ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.
๐Ÿ‘
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