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👂 Psychoacoustic Coding

Perceptual Audio, Masking Models, Hearing Science, Lossy Compression

The Best Bookshelf Speakers of 2025, Tried & Tested
rollingstone.com·1h
🎧Audio Mastering
Counting with Categories (Part 3)
golem.ph.utexas.edu·1d
λLambda Formalization
Inworld TTS: 20x cheaper, state-of-the-art, text-to-speech
inworld.ai·2h·
Discuss: Hacker News
🎙️Whisper
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.org·15h
🌀Fractal Compression
Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales
arxiv.org·15h
👁️Perceptual Coding
The Bitter Lesson is coming for Tokenization
lucalp.dev·1d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
Code Rate Optimization via Neural Polar Decoders
arxiv.org·2d
🧠Neural Codecs
[P] This has been done like a thousand time before, but here I am presenting my very own image denoising model
reddit.com·3d·
Discuss: r/MachineLearning
🌊Digital Signal Processing
GLIMPSE: Gradient-Layer Importance Mapping for Prompted Visual Saliency Explanation for Generative LVLMs
arxiv.org·15h
📊Learned Metrics
Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes
arxiv.org·15h
🔍Type Inference
ANOVA-boosting for Random Fourier Features
arxiv.org·15h
🧠Machine Learning
DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling
arxiv.org·1d
✨Effect Systems
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning
arxiv.org·15h
🤖Grammar Induction
A large deviation view of \emph{stationarized} fully lifted blirp interpolation
arxiv.org·15h
📐Compression Bounds
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·15h
🎛️Feed Filtering
Let Your Video Listen to Your Music!
arxiv.org·1d
🎧Vorbis Encoding
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.org·1d
⚡Modern Compression
HunyuanVideo-Avatar: The Breakthrough That’s Revolutionizing AI-Driven Human Animation
dev.to·6h·
Discuss: DEV
🎬AV1 Encoding
Fast Rate Information-theoretic Bounds on Generalization Errors
arxiv.org·1d
⧗Information Bottleneck
NAADA: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs
arxiv.org·15h
🤖Advanced OCR
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