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eess.AS2024

A Feature Engineering Approach for Literary and Colloquial Tamil Speech Classification using 1D-CNN

M. Nanmalar, S. Johanan Joysingh, P. Vijayalakshmi +1

In ideal human computer interaction (HCI), the colloquial form of a language would be preferred by most users, since it is the form used in their day-to-day conversations. However,…

eess.AS2024

Development of Large Annotated Music Datasets using HMM-based Forced Viterbi Alignment

S. Johanan Joysingh, P. Vijayalakshmi, T. Nagarajan

Datasets are essential for any machine learning task. Automatic Music Transcription (AMT) is one such task, where considerable amount of data is required depending on the way the s…

eess.AS2024

Literary and Colloquial Dialect Identification for Tamil using Acoustic Features

M. Nanmalar, P. Vijayalakshmi, T. Nagarajan

The evolution and diversity of a language is evident from it's various dialects. If the various dialects are not addressed in technological advancements like automatic speech recog…

eess.AS2024

MaskCycleGAN-based Whisper to Normal Speech Conversion

K. Rohith Gupta, K. Ramnath, S. Johanan Joysingh +2

Whisper to normal speech conversion is an active area of research. Various architectures based on generative adversarial networks have been proposed in the recent past. Especially,…

eess.AS2024

Quartered Chirp Spectral Envelope for Whispered vs Normal Speech Classification

S. Johanan Joysingh, P. Vijayalakshmi, T. Nagarajan

Whispered speech as an acceptable form of human-computer interaction is gaining traction. Systems that address multiple modes of speech require a robust front-end speech classifier…

eess.AS2024

Quartered Spectral Envelope and 1D-CNN-based Classification of Normally Phonated and Whispered Speech

S. Johanan Joysingh, P. Vijayalakshmi, T. Nagarajan

Whisper, as a form of speech, is not sufficiently addressed by mainstream speech applications. This is due to the fact that systems built for normal speech do not work as expected…