Speech emotion recognition based on multiple acoustic features and deep convolutional neural network

K Bhangale, M Kothandaraman - Electronics, 2023 - mdpi.com
Speech emotion recognition (SER) plays a vital role in human–machine interaction. A large
number of SER schemes have been anticipated over the last decade. However, the …

Noise robust automatic speech recognition: review and analysis

M Dua, Akanksha, S Dua - International Journal of Speech Technology, 2023 - Springer
Abstract Automatic Speech Recognition (ASR) system is an emerging technology used in
various fields such as robotics, traffic controls, and healthcare, etc. The leading cause of …

[PDF][PDF] Deep learning classifiers for near infrared spectral imaging: a tutorial

JL Xu, C Riccioli, A Herrero-Langreo… - Journal of Spectral …, 2020 - researchgate.net
As an integration of spectroscopy and digital imaging techniques, spectral imaging has
emerged as a versatile tool for many applications including remote sensing, 1, 2 food …

Optimized deep network based spoof detection in automatic speaker verification system

M Neelima, IS Prabha - Multimedia Tools and Applications, 2024 - Springer
Abstract Speaker-verification-system (SVS) is automated nowadays to improve the
authenticity score of digital applications. However, spoofs in the audio signal have reduced …

An efficient speaker identification framework based on Mask R-CNN classifier parameter optimized using hosted cuckoo optimization (HCO)

Gaurav, S Bhardwaj, R Agarwal - Journal of Ambient Intelligence and …, 2023 - Springer
Speaker identification is the method of human voice identifying with the help of artificial
intelligence (AI) method. The technology of speaker identification is broadly utilized in voice …

Evaluating the performance of speaker recognition solutions in e-commerce applications

O Krčadinac, U Šošević, D Starčević - Sensors, 2021 - mdpi.com
Two important tasks in many e-commerce applications are identity verification of the user
accessing the system and determining the level of rights that the user has for accessing and …

A deep learning approach for text-independent speaker recognition with short utterances

R Chakroun, M Frikha - Multimedia Tools and Applications, 2023 - Springer
Recently, the speaker recognition techniques have been widely attractive for their extensive
use in many fields, such as speech communications, domestic services, security and access …

[PDF][PDF] An efficient text-independent speaker identification using feature fusion and transformer model

AA Khan, R Jahangir, R Alroobaea… - Comput. Mater …, 2023 - researchgate.net
Automatic Speaker Identification (ASI) involves the process of distinguishing an audio
stream associated with numerous speakers' utterances. Some common aspects, such as the …

A comprehensive study on automatic speaker recognition by using deep learning techniques

VSR Gade, M Sumathi - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
In Speaker, identifying or recognizing human voices is a challenging task. Recently, the
automatic speaker recognition technique has been developed by using deep learning …

Serial Weakening of Human-Based Attributes Regarding Their Effect on Content-Based Speech Recognition

A Rahdar, D Gharavian, W Jęśko - IEEE Access, 2023 - ieeexplore.ieee.org
Numerous studies have investigated automatic speech recognition tasks, such as content-
based speech recognition, using machine learning techniques, such as deep learning. In …