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 …
Speech as a Biomarker for COVID‐19 Detection Using Machine Learning
The use of speech as a biomedical signal for diagnosing COVID‐19 is investigated using
statistical analysis of speech spectral features and classification algorithms based on …
statistical analysis of speech spectral features and classification algorithms based on …
[PDF][PDF] An extensive review of feature extraction techniques, challenges and trends in automatic speech recognition
V Kanabur, SS Harakannanavar… - International Journal of …, 2019 - academia.edu
Speech is the natural mode of communication between humans. Human-to-machine
interaction is gaining importance in the past few decades which demands the machine to be …
interaction is gaining importance in the past few decades which demands the machine to be …
A deep learning approach for automatic speech recognition of The Holy Qur'ān recitations
IK Tantawi, MAM Abushariah, BH Hammo - International Journal of Speech …, 2021 - Springer
Being the main spiritual source and reference for Muslims, The Holy Qur'ān can be recited in
ten recitations (Qiraat). Each recitation (Qiraah) possesses certain features and …
ten recitations (Qiraat). Each recitation (Qiraah) possesses certain features and …
A hybrid GRU-CNN feature extraction technique for speaker identification
Speaker identification with diversified voice clip across the globe is a crucial and
challenging task, specially extracting vigorous and discriminative features. In this paper, we …
challenging task, specially extracting vigorous and discriminative features. In this paper, we …
Dataset of raw and pre-processed speech signals, mel frequency cepstral coefficients of speech and heart rate measurements
Heart rate is an important vital sign used in the diagnosis of many medical conditions.
Conventionally, heart rate is measured using a medical device such as pulse oximeter …
Conventionally, heart rate is measured using a medical device such as pulse oximeter …
Identifying optimised speaker identification model using hybrid GRU-CNN feature extraction technique
Extracting vigorous and discriminative features and selecting an appropriate classifier model
to identify speakers from voice clips are challenging tasks. Thus, we considered signal …
to identify speakers from voice clips are challenging tasks. Thus, we considered signal …
[PDF][PDF] Psychoacoustical masking effect-based feature extraction for robust speech recognition
A new approach for speech feature extraction in automatic speech recognition (ASR) is
proposed in this paper. It is based on the human auditory system. Generally, the mel …
proposed in this paper. It is based on the human auditory system. Generally, the mel …
FPGA Design for Efficient Speech Processing System
AS Raghuvanshi, D Muchahary - 2022 2nd Asian …, 2022 - ieeexplore.ieee.org
This paper aims, to develop an FPGA design for speech processing using a hardware
description language (HDL). The necessary modules used in the implementation of the …
description language (HDL). The necessary modules used in the implementation of the …
Classification of voice disorders using i-vector analysis
This paper is based on classification of various voice disorders using non-invasive methods
with the help of Machine Learning algorithms. In this work, voice samples for three disorders …
with the help of Machine Learning algorithms. In this work, voice samples for three disorders …