1 citations · 1 across the 5 of their papers we have counts for
5 papers
Explaining Spectrograms in Machine Learning: A Study on Neural Networks for Speech Classification
Jesin James, Balamurali B. T., Binu Abeysinghe +1
This study investigates discriminative patterns learned by neural networks for accurate speech classification, with a specific focus on vowel classification tasks. By examining the…
Performance Assessment of ChatGPT vs Bard in Detecting Alzheimer's Dementia
Balamurali B T, Jer-Ming Chen
Large language models (LLMs) find increasing applications in many fields. Here, three LLM chatbots (ChatGPT-3.5, ChatGPT-4 and Bard) are assessed - in their current form, as public…
Acoustic prediction of flowrate: varying liquid jet stream onto a free surface
Balamurali B T, Edwin Jonathan Aslim, Yun Shu Lynn Ng +6
Information on liquid jet stream flow is crucial in many real world applications. In a large number of cases, these flows fall directly onto free surfaces (e.g. pools), creating a…
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks
Kin Wai Cheuk, Balamurali B. T., Gemma Roig +1
We present an approach to tackle the speaker recognition problem using Triplet Neural Networks. Currently, the -vector representation with probabilistic linear discriminant anal…
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy
Kin Wah Edward Lin, Balamurali B. T., Enyan Koh +2
Separating a singing voice from its music accompaniment remains an important challenge in the field of music information retrieval. We present a unique neural network approach insp…