Latest Research in Speech and Audio Processing
30 research papers · 2026 median publication year
Top Research Topics in Speech and Audio Processing
- Sound — 16 papers
- Audio and Speech Processing — 6 papers
- Speech and Audio Processing — 2 papers
- Vehicle Noise and Vibration Control — 1 papers
- Machine Learning — 1 papers
- Generative Adversarial Networks and Image Synthesis — 1 papers
- Data Structures and Algorithms — 1 papers
- Music Technology and Sound Studies — 1 papers
- Music and Audio Processing — 1 papers
Highest-Cited Papers
- Audio-Anchored Fusion of Multi-Ratio DiT Reconstruction Residuals for Cross-Domain Audio Deepfake Detection
- Mind the Microphone Gap: Benchmarking Array Upsampling Strategies for Latent Acoustic Mapping
- Revisiting Vocos: That Phasiness Business in Time-Frequency Neural Vocoding
- The Equalizer: Introducing Shape-Gain Decomposition in Neural Audio Codecs
- E-commerce video & content understanding via vision: a comprehensive study on lip reading and visual speech recognition for enhanced shopping experience
- EEG-based automated evaluation of automotive sound quality using ensemble deep learning
- Investigating Codec-Internal Latent Audio Watermarking for Neural Codec Robustness
- Black-Box Optimization for Identifying and Inverting Audio Dynamic Range Control Effects
- Encode Once, Decode Never: Reusing Audio LM Internals for Efficient Temporal Localization
- CAPS: A Cascaded Reconstruction Model to Power Saving in Hearables Using Sub-Nyquist Sampling with Bandwidth Extension
- End-to-End Markov State Sequence Learning for Auditory Attention Decoding
- What does the model actually see? Evaluation protocols and input availability in data-driven prediction of room acoustic parameters
- Time-Varying Audio Effect Modeling by End-to-End Adversarial Training
- SALMONN-2: Advancing General-Purpose Hearing Abilities with Self-Supervised Representations
- HARP: Harmonic-Aware Residual Partitioning for Neural Audio Codecs
- A Study of Parallelizable Alternatives to Dynamic Time Warping for Aligning Long Sequences
- Noise-Adversarial Denoising of Motor Acoustic Signals Across Noise Domains
- Neural Morphing: Sequence-Optimized Token-Level Morphing in Neural Audio Codecs
- Low-Latency Neural Models for Real-Time Music Enhancement
- Semantic Sampling via Learnable Observation Front Ends