CochleaSpecNet: An Attention Based Dual Branch Hybrid CNN-GRU Network for Speech Emotion Recognition Using Cochleagram and Spectrogram

AA Namey, K Akter, MA Hossain, MAA Dewan - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

[PDF][PDF] BanSpEmo: a Bangla audio dataset for speech emotion recognition and its baseline evaluation

B Sultana, MG Hussain, M Rahman - Indonesian Journal of …, 2025 - researchgate.net
Speech interfaces provide a natural and comfortable way for humans to communicate with
machines. Recognizing emotions from acoustic signals is essential in audio and speech …

An Optimized Bangla Speech Emotion Recognition System Leveraging CNN-LSTM and Boosting Classifiers

TA Chowdhury, MR Huq - 2024 Sixth International Conference …, 2024 - ieeexplore.ieee.org
Emotion Recognition is a gravitating concept in Speech Data Analysis due to its adaptability
in identifying human emotion. Emotion is an inherent human trait exhibited through attitude …

Custom Transformer-Based Approach for Enhanced Bengali Automatic Speech Recognition

R Deepa, V Jayalakshmi, P Thilakavathy… - … on Innovations in …, 2024 - ieeexplore.ieee.org
Automated speech recognition (ASR) systems struggle with Bengali, which is the fifth most
spoken language. Bengali has a varied morphology, many dialects, and limited high-quality …

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP …

AC Shruti - 2024 - dspace.bracu.ac.bd
Automatic sentiment recognition from speech data is crucial for various applications. As AI
has grown in popularity, the application of the importance of speech sentiment analysis is …

[PDF][PDF] Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition

M Ahamed, RB Kabir, TT Dipto, M Al Mushabbir… - researchgate.net
Few-shot learning (FSL) offers a promising solution for classification tasks with limited
labeled examples, offering a valuable solution for languages with limited annotated …