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[Paper Review] OpenS2S

OpenS2S๋Š” ์‚ฌ์šฉ์ž์˜ ์Œ์„ฑ์— ๋‹ด๊ธด ์–ธ์–ด์  ๋‚ด์šฉ๊ณผ ๊ฐ์ •, ์–ต์–‘, ๋งํˆฌ ๊ฐ™์€ ์ค€์–ธ์–ด์  ์ •๋ณด๋ฅผ ์ดํ•ดํ•˜๊ณ , ์ด์— ๋งž๋Š” ๊ณต๊ฐ์  ํ…์ŠคํŠธ์™€ ๊ฐ์ •์ด ํ‘œํ˜„๋œ ์Œ์„ฑ ์‘๋‹ต์„ ์ƒ์„ฑํ•˜๋Š” ์˜คํ”ˆ์†Œ์Šค Speech-to-Speech ๋ชจ๋ธ์ด๋‹ค. ๋‹ค๋งŒ OpenS2S๋Š” ์‘๋‹ต ํ…์ŠคํŠธ๊ฐ€ ๋ชจ๋‘ ์™„์„ฑ๋˜๊ธฐ ์ „๋ถ€ํ„ฐ speech token๊ณผ waveform์„ ์ˆœ์ฐจ์ ์œผ๋กœ ์ƒ์„ฑํ•˜์ง€๋งŒ, Moshi๋‚˜ Pe...

์•ฝ 13์‹œ๊ฐ„ ์ „
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[Paper Review] PHOENIX-VAD: STREAMING SEMANTIC ENDPOINT DETECTION FOR FULL-DUPLEX SPEECH INTERACTION

Overview One of the most critical challenges in building a full-duplex dialogue model is achieving naturalistic turn-taking โ€” the model should know when to respond and when to keep listening. This p...

2026๋…„ 6์›” 22์ผ
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Digging Into the Moshi Model's Code

Today I took a closer look at how the Moshi model actually works under the hood, code-wise. Moshi is fundamentally a model designed to listen and speak at the same time. Because of this, unlike typic...

2026๋…„ 6์›” 21์ผ
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[Paper Review] DialogueSidon: Recovering Full-Duplex Dialogue Tracks from In-the-Wild Dialogue Audio

How can we make a better dataset from in-the-wild data for training full-duplex models? โœ”๏ธ Background Training a full-duplex spoken dialogue model requires dialogue recordings where each speaker is o...

2026๋…„ 6์›” 13์ผ
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PLDA์™€ Cosine Similarity ์ฐจ์ด์ 

์ตœ๊ทผ์— ํ™”์ž ๋ถ„๋ฆฌ ํƒœ์Šคํฌ๋ฅผ ๋ณด๊ณค ํ–ˆ๋Š”๋ฐ ์Œ์„ฑ ์ธ์‹, ํ™”์ž ์ธ์ฆ, ์–ผ๊ตด ์ธ์‹, ์ž„๋ฒ ๋”ฉ ๊ฒ€์ƒ‰ ๊ฐ™์€ ๋ถ„์•ผ๋ฅผ ๋ณด๋‹ค ๋ณด๋ฉด ์ž์ฃผ ๋“ฑ์žฅํ•˜๋Š” ๋น„๊ต ๋ฐฉ์‹์ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋ฐ”๋กœ Cosine Similarity์™€ PLDA์ž…๋‹ˆ๋‹ค. ๋‘˜ ๋‹ค โ€œ๋‘ ๋ฒกํ„ฐ๊ฐ€ ์–ผ๋งˆ๋‚˜ ๋น„์Šทํ•œ๊ฐ€?โ€๋ฅผ ํŒ๋‹จํ•˜๋Š” ๋ฐ ์“ฐ์ด์ง€๋งŒ ์ฐจ์ด๊ฐ€ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ๊ทธ ๋ถ€๋ถ„์€ ๊ฐ„๋‹จํ•˜๊ฒŒ ์ •๋ฆฌํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ๊ฒฐ๋ก ์„ ๋ฏธ๋ฆฌ ๋ง์”€ ๋“œ๋ฆฌ์ž๋ฉด,...

2026๋…„ 6์›” 7์ผ
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์Œ์„ฑ ๋Œ€ํ™”๋ชจ๋ธ, ์š”์ฆ˜์€ ์–ด๋–ป๊ฒŒ ํ‰๊ฐ€ํ• ๊นŒ

์ตœ๊ทผ ์Œ์„ฑ ๋Œ€ํ™”๋ชจ๋ธ ์—ฐ๊ตฌ๊ฐ€ ์ •๋ง ํ™œ๋ฐœํ•˜๋‹ค. ํŠนํžˆ ์‚ฌ์šฉ์ž์˜ ๋ง์„ ๋๊นŒ์ง€ ๋‹ค ๋“ฃ๊ณ  ๋‚˜์„œ์•ผ ๋Œ€๋‹ตํ•˜๋Š” half-duplex ๋ฐฉ์‹์„ ๋„˜์–ด, ๋“ฃ๋Š” ๋™์‹œ์— ๋งํ•  ์ˆ˜ ์žˆ๋Š” full-duplex ๋ชจ๋ธ๋“ค์ด ๋น ๋ฅด๊ฒŒ ๋“ฑ์žฅํ•˜๊ณ  ์žˆ๋‹ค. ๋ผ์–ด๋“ค๊ธฐ(interruption), ๋ฉˆ์ถค(pause), ์งง์€ ๋งž์žฅ๊ตฌ(backchannel)์ฒ˜๋Ÿผ ์‚ฌ๋žŒ ์‚ฌ์ด์˜ ๋Œ€ํ™”์—์„œ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ์ผ์–ด๋‚˜๋Š” ํ˜„์ƒ๋“ค์„ ๋‹ค...

2026๋…„ 5์›” 31์ผ
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๋Œ€ํ™” ๋ฐ์ดํ„ฐ์…‹ ๋ฆฌ๋ทฐ

Open-Source Full-Duplex Conversational Datasets for Natural and Interactive Speech Synthesis ๋Œ€ํ™”ํ˜• ๋ชจ๋ธ์— ๊ณ„์† ๊ด€์‹ฌ์„ ๊ฐ–๊ณ  ์žˆ๊ณ , ๋ฐ์ดํ„ฐ ํŒŒํŠธ๊ฐ€ ๊ถ๊ธˆํ•ด ์ฝ๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋…ผ๋ฌธ์—์„œ ์ง„ํ–‰ํ•œ ๋ฐฉ์‹์€ ์ง์ ‘ ๋…น์Œํ•˜๋Š” ๋ฐฉ์‹์ด์—ˆ๋Š”๋ฐ ์‚ฌ์‹ค ๋น„์šฉ ๋ฌธ์ œ๋กœ ํฌ๋กค๋ง์ด๋‚˜ ํ•ฉ์„ฑ์— ๋น„ํ•ด ์ œ๊ฐ€ ๋”ฐ๋ผ์„œ ์ ์šฉํ•˜๊ธฐ...

2026๋…„ 5์›” 17์ผ
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AI EXPO 2026 ๊ตญ์ œ์ธ๊ณต์ง€๋Šฅ๋Œ€์ „ ๊ด€๋žŒ ํ›„๊ธฐ

์ฝ”์—‘์Šค์—์„œ ์ง„ํ–‰๋œ AI EXPO 2026 ์— ๋‹ค๋…€์™”์Šต๋‹ˆ๋‹ค. ํ–‰์‚ฌ์ •๋ณด ๋งํฌ ์ฝ”์—‘์Šค : https://www.coex.co.kr/exhibitions/๊ตญ์ œ์ธ๊ณต์ง€๋Šฅ๋Œ€์ „-2/ ๊ตญ์ œ์ธ๊ณต์ง€๋Šฅ๋Œ€์ „: http://www.aiexpo.co.kr/home/v4.php?s=34 ์‹œ๊ฐ„: 05/06(์ˆ˜) - 05/08(๊ธˆ) 10:00 - 17:00 ์žฅ์†Œ: ์ฝ”์—‘์Šค Hall ...

2026๋…„ 5์›” 7์ผ
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[Paper Review] Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems

#Full-duplex spoken dialogue systems #turn taking detection #์Œํ–ฅ๊ณผ ์–ธ์–ด๋ฅผ ํ•จ๊ป˜ ์จ์„œ, ๋” ์ž์—ฐ์Šค๋Ÿฌ์šด ๋Œ€ํ™”๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ์„๊นŒ? โœ”๏ธ ๋ฐฐ๊ฒฝ ์ตœ๊ทผ spoken dialogue system์€ ๋‹จ์ˆœํžˆ โ€œ์งˆ๋ฌธํ•˜๋ฉด ๋Œ€๋‹ตํ•˜๋Š”โ€

2026๋…„ 5์›” 3์ผ
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PersonaPlex ๋ฆฌ๋ทฐ

PersonaPlex: Voice and Role Control for Full Duplex Conversational Speech Models โœ”๏ธ ๋ฐฐ๊ฒฝ ์ตœ๊ทผ ์Œ์„ฑ AI๋Š” ๋‹จ์ˆœํžˆ ์ž์—ฐ์Šค๋Ÿฌ์šด ์Œ์„ฑ์„ ํ•ฉ์„ฑํ•˜๋Š” TTS๋ฅผ ๋„˜์–ด์„œ, ์‹ค์‹œ๊ฐ„์œผ๋กœ ๋“ฃ๊ณ , ๋งํ•˜๊ณ , ๋ผ์–ด๋“ค๊ณ , ๋งž์žฅ๊ตฌ์น˜๋ฉฐ, ์ƒํ™ฉ์— ๋งž๋Š” ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•˜๋Š” ๋Œ€ํ™”ํ˜• ์Œ์„ฑ ์—์ด์ „ํŠธ๋กœ ๋น ๋ฅด๊ฒŒ ํ™•์žฅ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํŠน...

2026๋…„ 4์›” 26์ผ
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ํ™”์ž ๋ถ„๋ฆฌ(Speaker Diarization) ๊ธฐ์ดˆ(2) - VAD, UBM

์ž‘์„ฑ์ค‘

2026๋…„ 4์›” 13์ผ
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[Paper Review] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

https://arxiv.org/abs/2306.00978 ์ž‘์„ฑ์ค‘..

2026๋…„ 4์›” 11์ผ
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ํ™”์ž ๋ถ„๋ฆฌ(Speaker Diarization) ๊ธฐ์ดˆ (1) - MFCC

์‹œ์ž‘ํ•˜๊ธฐ ์ „์—... ์šฉ์–ด๋ฅผ ํ—ท๊ฐˆ๋ ค ํ•˜์‹ค๊นŒ๋ด spectrum, spectrogram, mel spectrogram, mfcc ์˜ ์ฐจ์ด๋ฅผ ๊ฐ„๋‹จํžˆ ์ •๋ฆฌํ•˜์ž๋ฉด ์ด์™€ ๊ฐ™์Šต๋‹ˆ๋‹ค. ์ด๋ฏธ์ง€ ์ถœ์ฒ˜ waveform โ†’ (pre-emphasis) โ†’ STFT(framing(hamming window, overlap, hop size) โ†’ ๊ฐ ํ”„๋ ˆ์ž„์— DFT(์‹ค์ œ๋กœ๋Š” ์—ฐ์‚ฐ ...

2026๋…„ 4์›” 9์ผ
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[Paper Review] Emotion Concepts and their Function in a Large Language Model

https://transformer-circuits.pub/2026/emotions/index.html ์ž‘์„ฑ์ค‘..

2026๋…„ 4์›” 8์ผ
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chown โ€“ ํŒŒ์ผ ์†Œ์œ ์ž ๋ณ€๊ฒฝ

chown โ€“ ํŒŒ์ผ ์†Œ์œ ์ž ๋ณ€๊ฒฝ โœ”๏ธ ๊ธฐ๋ณธ ๊ฐœ๋… chown์€ ํŒŒ์ผ์ด๋‚˜ ๋””๋ ‰ํ† ๋ฆฌ์˜ ์†Œ์œ ์ž(owner)์™€ ๊ทธ๋ฃน(group) ์„ ๋ณ€๊ฒฝํ•˜๋Š” ๋ช…๋ น์–ด์ด๋‹ค. โœ”๏ธ ์‚ฌ์šฉ ์˜ˆ์‹œ sudo chown -R [์†Œ์œ ์ž]:[๊ทธ๋ฃน] [๋Œ€์ƒ ๋””๋ ‰ํ† ๋ฆฌ] โœ”๏ธ ์˜๋ฏธ sudo : ๊ด€๋ฆฌ์ž ๊ถŒํ•œ์œผ๋กœ ์‹คํ–‰ chown : ์†Œ์œ ์ž ๋ณ€๊ฒฝ -R : ํ•˜์œ„ ๋””๋ ‰ํ† ๋ฆฌ๊นŒ์ง€ ์žฌ๊ท€์ ์œผ๋กœ ์ ์šฉ

2026๋…„ 4์›” 7์ผ
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kaldi ์„ธํŒ…ํ•˜๊ธฐ

kaldi ์„ธํŒ…ํ•˜๊ธฐ..

2026๋…„ 4์›” 6์ผ
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๊ตฌ๊ธ€ ํด๋ผ์šฐ๋“œ์—์„œ GPU ์„ธํŒ…ํ•˜๋Š” ๋ฒ•

์ž‘์„ฑ์ค‘...

2026๋…„ 4์›” 2์ผ
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[Paper Review] โ€“ Qwen3-TTS

qwen3-tts

2026๋…„ 4์›” 2์ผ
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[Paper Review] โ€“ StreamFlow: Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching

#streaming_decoder(โ‰ˆvocoder)

2026๋…„ 3์›” 31์ผ
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DNS/URGENT ์ฑŒ๋ฆฐ์ง€

DNS ์ฑŒ๋ฆฐ์ง€์™€ URGENT ์ฑŒ๋ฆฐ์ง€ ์†Œ๊ฐœ

2026๋…„ 3์›” 24์ผ
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