3 papers
cs.SD2026
Direct Raw Audio Signal Processing via Reservoir Computing: An Investigation into 'Feature-Free' Architectures
Rinku Sebastian, Simon O Keefe, Martin A Trefzer
This paper evaluates Reservoir Computing (RC) as an autonomous, 'feature-free' framework for audio processing, designed to eliminate traditional, handcrafted feature extraction sta…
cs.SD2026
Bridging Biological Hearing and Neuromorphic Computing: End-to-End Time-Domain Audio Signal Processing with Reservoir Computing
Rinku Sebastian, Simon O'Keefe, Martin Trefzer
Despite the advancements in cutting-edge technologies, audio signal processing continues to pose challenges and lacks the precision of a human speech processing system. To address…
cs.SD2025
Audio Signal Processing Using Time Domain Mel-Frequency Wavelet Coefficient
Rinku Sebastian, Simon O'Keefe, Martin Trefzer
Extracting features from the speech is the most critical process in speech signal processing. Mel Frequency Cepstral Coefficients (MFCC) are the most widely used features in the ma…