A deep learning approaches in text-to-speech system: a systematic review and recent research perspective

Y Kumar, A Koul, C Singh - Multimedia Tools and Applications, 2023 - Springer
Text-to-speech systems (TTS) have come a long way in the last decade and are now a
popular research topic for creating various human-computer interaction systems. Although, a …

State-of-the-art approach to extractive text summarization: a comprehensive review

AK Yadav, Ranvijay, RS Yadav, AK Maurya - Multimedia Tools and …, 2023 - Springer
With the rapid growth of social media platforms, digitization of official records, and digital
publication of articles, books, magazines, and newspapers, lots of data are generated every …

A novel deep transfer learning models for recognition of birds sounds in different environment

Y Kumar, S Gupta, W Singh - Soft Computing, 2022 - Springer
Automatic detection of calling bird species is advantageous for monitoring the environment
on a broad scale, both temporally and spatially. Numerous investigations have been …

Feature based automatic text summarization methods: a comprehensive state-of-the-art survey

D Yadav, R Katna, AK Yadav, J Morato - IEEE Access, 2022 - ieeexplore.ieee.org
With the advent of the World Wide Web, there are numerous online platforms that generate
huge amounts of textual material, including social networks, online blogs, magazines, etc …

Unveiling the essence of poetry: Introducing a comprehensive dataset and benchmark for poem summarization

R Mahbub, I Khan, S Anuva, MS Shahriar… - Proceedings of the …, 2023 - aclanthology.org
While research in natural language processing has progressed significantly in creative
language generation, the question of whether language models can interpret the intended …

An experimental investigation on unsupervised text summarization for customer reviews

VK Manojkumar, S Mathi, XZ Gao - Procedia Computer Science, 2023 - Elsevier
People generally turn to websites such as Yelp to find reviews for the food/restaurant before
trying it first-hand. However, some reviews are so long and ambiguous that users get …

Automated detection and recognition system for chewable food items using advanced deep learning models

Y Kumar, A Koul, Kamini, M Woźniak, J Shafi… - Scientific Reports, 2024 - nature.com
Identifying and recognizing the food on the basis of its eating sounds is a challenging task,
as it plays an important role in avoiding allergic foods, providing dietary preferences to …

A deep learning framework for multi-document summarization using LSTM with improved Dingo Optimizer (IDO)

G Singh, N Mittal, SS Chouhan - Multimedia Tools and Applications, 2024 - Springer
Multi-document summarization (MDS) is a topic of much attention in extensive knowledge
areas. Extractive MDS techniques intend to shrink the text from a document compilation by …

Abstractive Summarization Model for Summarizing Scientific Article

M Ulker, AB Ozer - IEEE Access, 2024 - ieeexplore.ieee.org
Researchers consistently publish articles to contribute to science. However, it has become
difficult to understand the terms employed in the document along with the way the semantic …

A new multi-objective evolutionary algorithm for citation-based summarization: Comprehensive analysis of the generated summaries

JM Sanchez-Gomez, MA Vega-Rodríguez… - … Applications of Artificial …, 2023 - Elsevier
The number of scientific publications in different knowledge fields has considerably grown in
recent times. This makes difficult for researchers to synthesize all the scientific-technical …