Results 91 to 100 of about 377,649 (289)
Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
Audio Signal Authentication and Integrity Protection
This paper presents SAIN (Signal Authentication and INtegrity), an improvement to an algorithm developed for the fragile watermarking of audio files, composed of sequences of samples, with the purpose of integrity protection.
Marco Botta +2 more
doaj +1 more source
Universal Adversarial Perturbations for Speech Recognition Systems [PDF]
In this work, we demonstrate the existence of universal adversarial audio perturbations that cause mis-transcription of audio signals by automatic speech recognition (ASR) systems. We propose an algorithm to find a single quasi-imperceptible perturbation,
Dubnov, Shlomo +5 more
core +1 more source
A Wavelet-Based Steganographic Method for Text Hiding in an Audio Signal. [PDF]
Veselska O +6 more
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka +5 more
wiley +1 more source
An Effective Optimization-Based Neural Network for Musical Note Recognition
Musical pitch estimation is used to recognize the musical note pitch or the fundamental frequency (F0) of an audio signal, which can be applied to a preprocessing part of many applications, such as sound separation and musical note transcription. In this
Tamboli Allabakash Isak +1 more
doaj +1 more source
Compressed Sensing Data with Performing Audio Signal Reconstruction for the Intelligent Classification of Chronic Respiratory Diseases. [PDF]
Albiges T, Sabeur Z, Arbab-Zavar B.
europepmc +1 more source
ABSTRACT Nutritional information is very important in the food choices of consumers. However, when they are too scientific or technical, they have the potential to confuse consumers, resulting in information asymmetry and dissuading them from making beneficial choices.
Edeoba W. Edobor +3 more
wiley +1 more source
Optimized intelligent speech signal verification system for identifying authorized users
Speech processing is today's trending topic in the digital industry for making authentication to keep aware of unauthorized ones. However, analyzing the signal feature using conventional filtering or the neural models is insufficient due to the present ...
Pravin Marotrao Ghate +4 more
doaj

