A hybrid approach to detecting Parkinson's disease using spectrogram and deep learning CNN-LSTM network

V Shibina, TM Thasleema - International Journal of Speech Technology, 2024 - Springer
Parkinson's disease (PD) is a common illness that affects brain neurons. Medical
practitioners and caregivers face challenges in detecting Parkinson's disease promptly …

Automatic Identification of Vietnamese Singer Voices Using Deep Learning and Data Augmentation

DT Le Thuy, CB Thanh, T Van Loan… - … Conference on Advances …, 2023 - Springer
Singer identification is a fascinating and complex field in audio processing and voice
recognition. It aims to determine the identity of a singer from a particular audio clip or song …

Advances in Information and Communication Technology

PT Nghia, VD Thai, VN Huynh - … of the 2nd International Conference ICTA, 2023 - Springer
This book contains four keynote abstracts and 83 best peer-reviewed papers selected from
the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023) …

Music Genre Classification Using Long Short-Term Memory (LSTM) Networks: Analyzing Audio Spectrograms for Enhanced Multimedia Understanding

SK Swarnkar, YK Rathore - Machine Learning in Multimedia - taylorfrancis.com
This examination explores music-type characterization utilizing long short-term memory
(LSTM) networks applied to sound spectrograms, intending to upgrade interactive media …

[PDF][PDF] Spatio-Temporal Attention Mechanisms in Video-Based Visual Question Answering: A Comprehensive Review

DSVP Ritvik, ASV Praneel, P Ramaiah - jcse.cloud
Video Question Answering (VideoQA) has become an essential job in computer vision and
natural language processing interfaces, requiring models incorporating spatio-temporal …

[引用][C] 74 Music Genre Classification Using Long Short-Term Memory (LSTM) Networks: Analyzing Audio Spectrograms for Enhanced Multimedia Understanding

SK Swarnkar, YK Rathore - … in Multimedia: Unlocking the Power of …, 2025 - CRC Press