An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
A Review of the Advancement in Speech Emotion Recognition for Indo‐Aryan and Dravidian Languages
ST Alam Monisha, S Sultana - Advances in Human‐Computer …, 2022 - Wiley Online Library
Speech emotion recognition (SER) has grown to be one of the most trending research topics
in computational linguistics in the last two decades. Speech being the primary …
in computational linguistics in the last two decades. Speech being the primary …
Smart reception: An artificial intelligence driven bangla language based receptionist system employing speech, speaker, and face recognition for automating reception …
In recent times, service robots (SR) have become widely accepted in a variety of fields as an
alternative to traditional reception methods. Artificial Intelligence (AI) driven systems are …
alternative to traditional reception methods. Artificial Intelligence (AI) driven systems are …
Recognition of emotion with intensity from speech signal using 3D transformed feature and deep learning
Abstract Speech Emotion Recognition (SER), the extraction of emotional features with the
appropriate classification from speech signals, has recently received attention for its …
appropriate classification from speech signals, has recently received attention for its …
Deep Learning Framework for Speech Emotion Classification: A Survey of the State-of-the-Art
S Akinpelu, S Viriri - IEEE Access, 2024 - ieeexplore.ieee.org
The intricate landscape of speech emotion classification poses a captivating yet challenging
realm due to emotions being fundamental to human communication. In recent years, deep …
realm due to emotions being fundamental to human communication. In recent years, deep …
Phase-based cepstral features for automatic speech emotion recognition of low resource Indian languages
Automatic speech emotion recognition (SER) is a crucial task in communication-based
systems, where feature extraction plays an important role. Recently, a lot of SER models …
systems, where feature extraction plays an important role. Recently, a lot of SER models …
[HTML][HTML] KBES: A dataset for realistic Bangla speech emotion recognition with intensity level
MM Billah, ML Sarker, MAH Akhand - Data in Brief, 2023 - Elsevier
Abstract Speech Emotion Recognition (SER) identifies and categorizes emotional states by
analyzing speech signals. SER is an emerging research area using machine learning and …
analyzing speech signals. SER is an emerging research area using machine learning and …
A comparative study on bengali speech sentiment analysis based on audio data
Sentiment analysis is one of the most researched areas for every language. Due to the rise
of AI, the use of speech in every sector is rapidly growing so is the importance of Speech …
of AI, the use of speech in every sector is rapidly growing so is the importance of Speech …
Enhanced Speech Emotion Recognition with Efficient Channel Attention Guided Deep CNN-BiLSTM Framework
Speech emotion recognition (SER) is crucial for enhancing affective computing and
enriching the domain of human-computer interaction. However, the main challenge in SER …
enriching the domain of human-computer interaction. However, the main challenge in SER …
CochleaSpecNet: An Attention Based Dual Branch Hybrid CNN-GRU Network for Speech Emotion Recognition Using Cochleagram and Spectrogram
Being one of the main communication medium, speech contains necessary information
about the emotional state of a human. Accurate emotion recognition is crucial for enhancing …
about the emotional state of a human. Accurate emotion recognition is crucial for enhancing …