🧠 AI⚪ Neutral

Differentiable Time-Varying IIR Filtering for Real-Time Speech Denoising

arXiv – CS AI|Riccardo Rota, Kiril Ratmanski, Jozef Coldenhoff, Milos Cernak|March 4, 2026 at 05:00 AM|1 views

🤖AI Summary

Researchers have developed TVF (Time-Varying Filtering), a lightweight 1 million parameter speech enhancement model that combines digital signal processing with deep learning for real-time speech denoising. The model uses a neural network to predict coefficients for a 35-band IIR filter cascade, offering interpretable processing while adapting dynamically to changing noise conditions.

Key Takeaways

→TVF achieves real-time speech denoising with only 1 million parameters, making it highly efficient for deployment.
→The model bridges traditional digital signal processing with modern deep learning for interpretable AI solutions.
→Unlike black-box approaches, TVF provides explicit and adjustable spectral modifications through differentiable filtering.
→The system dynamically adapts to non-stationary noise conditions using a 35-band IIR filter cascade.
→Testing on the Valentini-Botinhao dataset shows effective performance compared to static DDSP and fully deep-learning approaches.

#speech-processing #deep-learning #signal-processing #real-time #audio-ai #neural-networks #denoising #interpretable-ai

Read Original →via arXiv – CS AI

Act on this with AI

Stay ahead of the market.

Connect your wallet to an AI agent. It reads balances, proposes swaps and bridges across 15 chains — you keep full control of your keys.

Connect Wallet to AI →How it works

AI1h ago

Warren Buffett complained for decades that boosting profits by excluding exec stock comp was ‘cynical’—Nvidia just surprised Wall Street and agreed

Nvidia surprised Wall Street by agreeing to include executive stock compensation in its profit calculations, addressing a decades-old complaint by Warren Buffett about excluding such costs. This accounting change will likely boost Nvidia's credibility with investors while potentially pressuring competitors to follow suit.

AI4h ago

A Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities

Researchers introduced NeuroCognition, a new benchmark for evaluating LLMs based on neuropsychological tests, revealing that while models show unified capability across tasks, they struggle with foundational cognitive abilities. The study found LLMs perform well on text but degrade with images and complexity, suggesting current models lack core adaptive cognition compared to human intelligence.

AI4h ago

Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach

Researchers developed DICE-DML, a new framework that uses deepfake technology and machine learning to measure causal effects of visual attributes in digital advertising. The method addresses bias issues in standard approaches when analyzing how image elements like skin tone affect consumer engagement on social media platforms.