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 …

Harnessing AI and NLP Tools for Innovating Brand Name Generation and Evaluation: A Comprehensive Review

M Lemos, PJS Cardoso, JMF Rodrigues - Multimodal Technologies and …, 2024 - mdpi.com
The traditional approach of single-word brand names faces constraints due to trademarks,
prompting a shift towards fusing two or more words to craft unique and memorable brands …

Script independent text segmentation of document images using graph network based shortest path scheme

P Sahare, JV Tembhurne, MR Parate, T Diwan… - International Journal of …, 2023 - Springer
Document image processing is one of the growing research fields in the digital world for
applications like data base indexing, text recognition, signature verification, web-searching …

Image to pencil sketch converter using python

R Gupta, S Subedi - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
Aim of this research paper is to set up an interface for image converter. Python language
and opencv module have been introduced first. Further, the need for image processing, its …

An efficient state detection of a person by fusion of acoustic and alcoholic features using various classification algorithms

VV Shenoi, S Kuchibhotla, P Kotturu - International Journal of Speech …, 2020 - Springer
In this paper, we present a novel approach for extracting emotional information along with
the state of intoxication. Conventional methods use features for identifying the state of …

An efficient part-of-speech tagger rule-based approach of Sanskrit language analysis

N Tapaswi - International Journal of Information Technology, 2024 - Springer
The versatility and depth of Sanskrit have led to its designation as a universal syntax. The
significance of grammar in language translation cannot be exaggerated. Grammar pertains …

Text-to-Speech Conversion Technology using Deep Learning Algorithms

R Gupta, SK Bagga - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
Text-to-speech conversion involves the transformation of written text into speech. The
proposed system, which does the conversion of text to speech, is implemented by using …

Speech waveform reconstruction from speech parameters for an effective text to speech synthesis system using minimum phase harmonic sinusoidal model for …

N Kaur, P Singh - Multimedia Tools and Applications, 2022 - Springer
Speech processing plays a vital role in current speech communication applications. The
major objective of digital speech is transmission of messages among human and computer …

Recent Trends in Text to Speech Synthesis in Context with Indian Languages

M Gupta, A Dev, P Bansal - International Conference on Artificial …, 2023 - Springer
The most important type of communication in daily life is speech. However, for those who are
physically or visually challenged or illiterate, using computers is confusing due to the …

An efficient Tamil text to speech conversion technique based on Deep Quality Speech Recognition.

JA Femina, J Jayakumari - 2021 - cabidigitallibrary.org
Our daily lives are impacted by the use of digital signal processing in speech processing.
Many applications, such as automation, audio recording, and audio-based help systems …