A deep learning approaches in text-to-speech system: a systematic review and recent research perspective
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 …
popular research topic for creating various human-computer interaction systems. Although, a …
State-of-the-art approach to extractive text summarization: a comprehensive review
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 …
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
Automatic detection of calling bird species is advantageous for monitoring the environment
on a broad scale, both temporally and spatially. Numerous investigations have been …
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
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 …
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
While research in natural language processing has progressed significantly in creative
language generation, the question of whether language models can interpret the intended …
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 …
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
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 …
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)
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 …
areas. Extractive MDS techniques intend to shrink the text from a document compilation by …
Abstractive Summarization Model for Summarizing Scientific Article
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 …
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
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 …
recent times. This makes difficult for researchers to synthesize all the scientific-technical …