Latest Research in Machine Learning
42 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Sound — 18 papers
- Audio and Speech Processing — 16 papers
- Computation and Language — 2 papers
- Speech and Audio Processing — 2 papers
- Machine Learning — 1 papers
- Signal Processing — 1 papers
- Speech Recognition and Synthesis — 1 papers
- Artificial Intelligence — 1 papers
Highest-Cited Papers
- Hybrid Real- and Complex-Valued Neural Network Architecture for Speech Enhancement
- Rethinking Language Model-Based Generative Speech Enhancement in the Latent Space of a Neural Audio Codec
- RT-SEMamba: Real-Time Speech Enhancement Mamba via Progressive Knowledge Distillation
- Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice
- BiTSE: Binaural Target Speaker Extraction in Noisy Multi-Talker Environments for AR Glass Arrays
- Neural Array-Generic Direction-of-Arrival Estimation Exploiting Array Transfer Functions
- Structured Phonological Representations for Audio-Articulatory rtMRI Speech Classification
- DAVE: A Decoupled Audio-Visual Enhancement Framework for Real-World Speech Separation
- BAMU: Bitstream-Aware Marginal-Utility Allocation for Frozen Pretrained Neural Speech Codecs
- Mitigating Over-Suppression in Speech Enhancement via Inference-Time Rethink-and-Refine Correction Module
- Cloud-Boosted Low-Compute Multi-Channel Speech Enhancement
- Blind Speech SNR Estimation via Neural Speech Enhancement: An Enhance-and-Subtract Approach and Benchmark Against Classical Estimators
- Blind Speech SNR Estimation via Neural Speech Enhancement: An Enhance-and-Subtract Approach and Benchmark Against Classical Estimators
- cSTMM: A Unified Complex Spherical Student's $t$ Mixture Model for Directional Statistics in Mask-Based Blind Speech Separation
- Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning
- Multi Codec Discrete Diffusion Model for Text Guided Speech Inpainting and Editing
- Echo-Aware Modulation for Compact-Latent Frequency-Time Modeling in Lightweight Acoustic Echo Cancellation
- Efficient Audio Enhancement with a Differentiable Psychoacoustic Loss
- Regularized Schrödinger Bridge via Distortion-Perception Perturbation for High-Fidelity Speech Enhancement
- AnyBand: Unified Multi-Bandwidth Speech Extension via Frequency-Aware In-Context Spectral Infilling