StrixAE: An Intelligent Agent for Audio Enhancement under Complex Distortion Coupling in Real-World Scenarios

arXiv:2609.03414 · cs.SD, cs.AI · Submitted 2026-09-03 · Read on arXiv

cs.SD, cs.AI

Submitted: 2026-09-03

Updated: 2026-09-03

Terminology

• Fine-Tuning — 11× in this paper · explained in 5 episodes
• Reinforcement Learning — 11× in this paper · explained in 4 episodes
• Generalization — 8× in this paper · explained in 13 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Two-stage training — 5× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Deep Noise Suppression — 3× in this paper
• GRPO — 3× in this paper · explained in 6 episodes
• Personalized Speech Enhancement — 3× in this paper
• Supervised Fine-Tuning — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 24 episodes
• Task Planning — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Agentic Search — 1× in this paper · explained in 1 episode
• Audio Perception Reinforcement Learning — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 4 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Standardized Benchmarks — 1× in this paper · explained in 2 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Two-Stage Training Strategy — 1× in this paper · explained in 3 episodes

Sources

• CMGAN: Conformer-based Metric GAN for Speech Enhancement
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Gen-Searcher: Reinforcing Agentic Search for Image Generation
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• An Analysis of the Variance of Diffusion-based Speech Enhancement
• Diffusion Models for Audio Restoration
• ICASSP 2026 URGENT Speech Enhancement Challenge
• JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent
• MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra
• NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets
• The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
• UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022
• Interspeech 2025 URGENT Speech Enhancement Challenge
• Proximal Policy Optimization Algorithms
• Gemini: A Family of Highly Capable Multimodal Models
• Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models
• Qwen3-Omni Technical Report
• TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
• DanceGRPO: Unleashing GRPO on Visual Generation
• EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

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