Self-supervised speech representation learning: A review
Although supervised deep learning has revolutionized speech and audio processing, it has
necessitated the building of specialist models for individual tasks and application scenarios …
necessitated the building of specialist models for individual tasks and application scenarios …
Challenges in predictive maintenance–A review
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
Deep learning enabled semantic communication systems
Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …
to merge all physical layer blocks in the traditional communication systems, which make joint …
Automatic speech recognition: a survey
Recently great strides have been made in the field of automatic speech recognition (ASR) by
using various deep learning techniques. In this study, we present a thorough comparison …
using various deep learning techniques. In this study, we present a thorough comparison …
A review of predictive coding algorithms
MW Spratling - Brain and cognition, 2017 - Elsevier
Predictive coding is a leading theory of how the brain performs probabilistic inference.
However, there are a number of distinct algorithms which are described by the term …
However, there are a number of distinct algorithms which are described by the term …
Audiodec: An open-source streaming high-fidelity neural audio codec
A good audio codec for live applications such as telecommunication is characterized by
three key properties:(1) compression, ie the bitrate that is required to transmit the signal …
three key properties:(1) compression, ie the bitrate that is required to transmit the signal …
A generic deep learning based cough analysis system from clinically validated samples for point-of-need COVID-19 test and severity levels
J Andreu-Perez, H Pérez-Espinosa… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In an attempt to reduce the infection rate of the COrona VIrus Disease-19 (Covid-19)
countries around the world have echoed the exigency for an economical, accessible, point …
countries around the world have echoed the exigency for an economical, accessible, point …
Speech emotion recognition based on formant characteristics feature extraction and phoneme type convergence
Abstract Speech Emotion Recognition (SER) has numerous applications including human-
robot interaction, online gaming, and health care assistance. While deep learning-based …
robot interaction, online gaming, and health care assistance. While deep learning-based …
Novel dual-channel long short-term memory compressed capsule networks for emotion recognition
Recent analysis on speech emotion recognition (SER) has made considerable advances
with the use of MFCC's spectrogram features and the implementation of neural network …
with the use of MFCC's spectrogram features and the implementation of neural network …
A survey on signal processing based pathological voice detection techniques
Voice disability is a barrier to effective communication. Around 1.2% of the World's
population is facing some form of voice disability. Surgical procedures namely laryngoscopy …
population is facing some form of voice disability. Surgical procedures namely laryngoscopy …