A Robust Method for Pitch Tracking in the Frequency Following Response using Harmonic Amplitude Summation Filterbank
arxiv.org·20h
🌈Spectral Audio
Unlocking Hyper-Security: The Power of AI in Multi-Modal Biometric Systems
dev.to·20h·
Discuss: DEV
🎵Spectral Hashing
Show HN: A free tool to extract audio from video
extractaudio.pro·8h·
Discuss: Hacker News
🎧FLAC Encoding
Keystroke Forensics 101: Extracting Secrets from USB Traffic
infosecwriteups.com·16h
🔍NTLM Forensics
Enhancing Wireless Device Identification through RF Fingerprinting: Leveraging Transient Energy Spectrum Analysis
arxiv.org·1d
🎵Audio Hashing
Scales as Multipermutations of 0 and 1 into Twelve Places
petecorey.com·6h·
Discuss: Lobsters
🎼Audio Lambda Calculus
A Standard for Human-Centered Investigation Playbooks
chrissanders.org·6h
🎯Threat Hunting
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·21h·
Discuss: Hacker News
📲Digitization
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·11h·
Discuss: DEV
🧠Machine Learning
A Briefing on Logistic Regression
blog.engora.com·12h·
Discuss: Hacker News
🧠Machine Learning
How the Music Industry is Building the Tech to Hunt Down AI-Generated Songs
entertainment.slashdot.org·3d
✅FLAC Verification
Human Voice is Unique
arxiv.org·1d
👂Audio Evidence
UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
arxiv.org·20h
🧠Machine Learning
USAD: Universal Speech and Audio Representation via Distillation
arxiv.org·1d
🎵Audio ML
Show HN: Anagnorisis, local data-management with trainable recommendation engine
github.com·1h·
Discuss: Hacker News
🤖Archive Automation
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.com·8h
💻Local LLMs
GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models
arxiv.org·1d
🧮Vector Embeddings
Learning to assess subjective impressions from speech
arxiv.org·20h
👁️Perceptual Coding
Machine Learning Fundamentals: active learning tutorial
dev.to·8h·
Discuss: DEV
🎛️Feed Filtering
Episode-specific Fine-tuning for Metric-based Few-shot Learners with Optimization-based Training
arxiv.org·1d
📊Learned Metrics