Speech emotion recognition: a comprehensive survey

MJ Al-Dujaili, A Ebrahimi-Moghadam - Wireless Personal Communications, 2023 - Springer
Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …

An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition

MR Ahmed, S Islam, AKMM Islam… - Expert Systems with …, 2023 - Elsevier
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …

Feature extraction methods in language identification: a survey

D Deshwal, P Sangwan, D Kumar - Wireless Personal Communications, 2019 - Springer
Abstract Language Identification (LI) is one of the widely emerging field in the areas of
speech processing to accurately identify the language from the data base based on some …

Ensemble learning of hybrid acoustic features for speech emotion recognition

K Zvarevashe, O Olugbara - Algorithms, 2020 - mdpi.com
Automatic recognition of emotion is important for facilitating seamless interactivity between a
human being and intelligent robot towards the full realization of a smart society. The …

Ensemble Learning by High‐Dimensional Acoustic Features for Emotion Recognition from Speech Audio Signal

MMV Chalapathi, MR Kumar, N Sharma… - Security and …, 2022 - Wiley Online Library
In the recent past, handling the high dimensionality demonstrated in the auditory features of
speech signals has been a primary focus for machine learning (ML‐) based emotion …

Child emotion recognition using probabilistic neural network with effective features

MN Mohanty, HK Palo - Measurement, 2020 - Elsevier
Use of effective features for emotion recognition is a step towards better accuracy. The
segmental features extracted from the utterances have a high dimension as well as …

Efficient feature combination techniques for emotional speech classification

HK Palo, MN Mohanty, M Chandra - International journal of speech …, 2016 - Springer
The challenge to enhance the naturalness and efficiency of spoken language man–machine
interface, emotional speech identification and its classification has been a predominant …

Deep Learning Enabled High-Performance Speech Command Recognition on Graphene Flexible Microphones

XY Zhang, H Liu, XY Ma, ZC Wang, GP Li… - ACS Applied …, 2022 - ACS Publications
Benefiting from outstanding electrical properties and excellent flexibility, graphene is widely
used in novel sensors. However, the high price, complex manufacturing process, and …

Emotion recognition system via facial expressions and speech using machine learning and deep learning techniques

A Chaudhari, C Bhatt, TT Nguyen, N Patel… - SN Computer …, 2023 - Springer
Patients in hospitals frequently exhibit psychological issues such as sadness, pessimism,
eccentricity, and anxiety. However, hospitals normally lack tools and facilities to continuously …

Combined CNN LSTM with attention for speech emotion recognition based on feature-level fusion

Y Liu, A Chen, G Zhou, J Yi, J Xiang… - Multimedia Tools and …, 2024 - Springer
According to the problem that emotional features cannot be well represented by a single
feature and it is difficult to extract in the task of Speech Emotion Recognition (SER), we …