봄쎄비지

200 posts

봄쎄비지

봄쎄비지

@Neobom_draw

좋아기록

Katılım Mayıs 2025
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봄쎄비지
봄쎄비지@Neobom_draw·
PLAVE Asia Tour Concert DASH: Quantum Leap Encore 25.11.21~22 진짜 행복했다 🤦✨️ 💙💜💗❤️🖤
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_2514_
_2514_@_Way4Luv_·
I've received a few DMs about this, so I wanted to add a bit more context.👼 While the U87 Ai is undoubtedly a legend in vocal recording, its high sensitivity can actually become a variable in a noise-heavy Mo-cap studio. Since it's incredibly sensitive, it tends to pick up ambient sounds like fan noise from workstations or room rumble, which can significantly lower the SNR(Signal-to-Noise Ratio). This, in turn, can compromise the stability of real-time facial tracking. In an environment with multiple tracking systems, even minor background noise can be amplified, affecting signal consistency. ​For stable Facial/Lipsync tracking, the audio must be clean and predictable. This is why a mic like the TLM 102, with its fast transient response and low self-noise, is a more strategic choice—it delivers the attack of the voice more accurately to the Facial Solver. ​Of course, for official studio recordings where pure audio quality is the only priority, the U87 Ai is far superior. But in a real-time pipeline, it's about Optimization over Status. The best tool always depends on the specific environment and system architecture. Note: While traditional recording prioritizes vocal aesthetics, this is to explain why system optimization is more important in real-time tracking environments. ˖Ი𐑼⋆
_2514_@_Way4Luv_

Neumann TLM 102 ㅡ ​1. Low Latency and Crystal-Clear Audio Source ㅡ ​When running real-time lipsync or facial tracking within the Unreal Engine, a clean, noise-free audio signal is paramount. The TLM 102 is renowned for its incredibly low self-noise. A cleaner signal allows Unreal's audio engine to analyze the members' voice waveforms with higher precision, resulting in more natural mouth movements. While interference or static noise can cause jittering or glitches in facial tracking, this microphone fundamentally eliminates such risks at the source. ㅡ ​2. EMI Shielding from Tracking Equipment ㅡ ​Unlike traditional recording studios, a virtual studio is packed with electronic devices, motion capture cameras, servers, and high-performance workstations—making it highly susceptible to EMI(Electromagnetic Interference). Neumann's TLM series utilizes a Transformerless circuit design, which minimizes interference from surrounding electronic signals while maintaining an exceptionally fast and accurate transient response. In a real-time streaming system, this ultra-low latency response is critical for maintaining synchronization stability. From a practical positioning standpoint, it avoids the overly heavy low-end body characteristic of the U87 class, focusing instead on clarity and responsiveness. This makes it more stable for real-time pipelines(Live/Tracking) with minimal data loss. Furthermore, using the EA4 shock mount to block floor vibrations and stand resonances(rumble) isn't just about recording quality. In an environment where motion capture and audio-driven tracking coexist, even microscopic vibrational noise can translate into data errors. This microphone physically isolates these factors, ultimately stabilizing the accuracy of Facial/Lipsync tracking. ㅡ *[EA4 Shock Mount — What It Actually Does] ​If you simply plug a microphone directly into a stand, it will pick up every vibration, footsteps, floor movements, and equipment hums. A Shock Mount is a device that suspends the microphone using a rubber or suspension structure to keep it floating in the air. The Neumann EA4 Shock Mount specifically serves the following key functions: Isolation from Floor Vibrations: Prevents physical movements from reaching the mic ​Elimination of Stand Resonance: Removes that specific low-end rumble or humming sound ​Physical Noise Filtering: Acts as a fundamental mechanical filter to ensure only the intende signal ㅡ ​3. Optimization for Spatial Audio Rendering ㅡ ​In terms of 3D spatial audio, calculating reverb and distance attenuation within Unreal becomes difficult if the original source is too muffled or muddy. The TLM 102 features a clear presence in the mid-to-high frequency range, ensuring that even after Unreal's audio engine applies spatial effects, the sound remains crisp. This helps maintain a clear sense of positioning(localization) for the members within the virtual space. Most importantly, the crystal-clear audio source from the Neumann microphone is fed into Unreal Engine's Facial Solver with ultra-low latency. This stably assists the High-Resolution Audio-to-Facial Sync, perfectly integrating with motion capture-based data.݁˖Ი𐑼⋆

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DearU bubble
DearU bubble@dearu_bubble·
[🎧] PLAVE X bubble ‘Caligo Pt.2‘ Release EVENT! ✔️ #BornSavage 해시태그와 함께 타이틀곡을 듣고 떠오르는 단어를 다섯 글자로 남겨주세요! 🎁사인 엽서 (10명) - ✔️ With the hashtag #BornSavage leave a five-letter word inspired by the title track! 🎁 Signed Postcard (10 winners) #bubble #버블 #PLAVE #플레이브 #BornSavage #PLAVE_BornSavage #Caligo_Pt2 @plave_official
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쪙쪙
쪙쪙@jjjjeeoonngg·
4K Caligo pt.2 바탕화면용🧡
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별음
별음@star_um_·
얼굴 진짜 미쳤다
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PLAVE INTL
PLAVE INTL@plaveintl·
🎥 kkboxsg instagram update: "PLAVE returns after a year with “Caligo Pt.2”, led by title track “Born Savage”. 🔥 The rock track carries one powerful message: “I was born different, and I’m destined to survive even in the ashes.” 🔥" Listen on KKBOX! 🔎 PLAVE - Caligo Pt.2 kkbox.fm/luJoGT #PLAVE #플레이브 #BornSavage #PLAVE_BornSavage #Caligo_Pt2
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Spotify Korea
Spotify Korea@SpotifyKR·
(속보) PLAVE 킬링 파트 서로 바꿔 불러도 레전드 음색으로 ‘충격’... PLAVE 신곡 ‘Born Savage’의 레전드 음색 킬링 파트 듣고 싶다면? 지금 바로 스포티파이에서 만나보세요 🎧⬇ open.spotify.com/track/21AdIbII… @plave_official
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Amazon Music(アマゾンミュージック)
\最近ハマっているものは…🎙️/ #PLAVE『Caligo Pt.2』配信開始❤️‍🔥 🎧amzn.lnky.jp/M4IZ6Y4 昨年リリースされたアルバム『Caligo Pt.1』の延長線上の作品🌟 #AmazonMusic で、前作からさらに強烈さを増した世界観を体感しよう💥 たくさん聴くよ!というPLLIはいいね❣️ @plave_jp @plave_official
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am0511
am0511@am0511_·
🥹
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단감자
단감자@912potato·
이 부분 진짜 개잘생겻고 완전 냉미남,,
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봄쎄비지
봄쎄비지@Neobom_draw·
이 이상 더 좋아진다고...?
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고래빵부스러기
고래빵부스러기@DOLPHINBUSURUGI·
본쌔비지 뮤비 감상하는 나
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봄쎄비지
봄쎄비지@Neobom_draw·
세상에 밤비님이시여 진짜 제일로 좋아하는 표정을 제일 최고로 지어오셨다 홀리 지저스 으어악 어떡해 진짜 좋아
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