How do Phonological Properties Affect Bilingual Automatic Speech Recognition?
Multilingual Automatic Speech Recognition (ASR) for Indian languages is an obvious
technique for leveraging their similarities. We present a detailed analysis of how …
technique for leveraging their similarities. We present a detailed analysis of how …
Children story classification based on structure of the story
DM Harikrishna, KS Rao - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
The main objective of this work is to classify Hindi and Telugu stories based on their
structure into three genres: Fable, Folk-tale and Legend. In this work, each story is divided …
structure into three genres: Fable, Folk-tale and Legend. In this work, each story is divided …
Children's story classification in Indian languages using linguistic and keyword-based features
DM Harikrishna, KS Rao - ACM Transactions on Asian and Low …, 2019 - dl.acm.org
The primary objective of this work is to classify Hindi and Telugu stories into three genres:
fable, folk-tale, and legend. In this work, we are proposing a framework for story …
fable, folk-tale, and legend. In this work, we are proposing a framework for story …
[PDF][PDF] The ILSP/INNOETICS text-to-speech system for the Blizzard Challenge 2013
This paper describes ILSP and INNOETICS Speech Synthesis System entry for the Blizzard
Challenge 2013. A description of the underlying system and techniques used is provided, as …
Challenge 2013. A description of the underlying system and techniques used is provided, as …
Development of assamese text-to-speech system using deep neural network
A Deka, P Sarmah, K Samudravijaya… - 2019 National …, 2019 - ieeexplore.ieee.org
This paper describes the development of a text-to-speech system for Assamese language,
using Deep Neural Network (DNN). The system is trained with speech data, collected by a …
using Deep Neural Network (DNN). The system is trained with speech data, collected by a …
An improved text to speech technique for tamil language using hidden Markov model
J Jayakumari, AF Jalin - 2019 7th International Conference on …, 2019 - ieeexplore.ieee.org
Application of digital signal processing in speech processing plays a major part in our
everyday life. Text to speech conversion (TTS) can apply to many applications such as …
everyday life. Text to speech conversion (TTS) can apply to many applications such as …
DNN-based Speech Synthesis for Indian Languages from ASCII text
Text-to-Speech synthesis in Indian languages has a seen lot of progress over the decade
partly due to the annual Blizzard challenges. These systems assume the text to be written in …
partly due to the annual Blizzard challenges. These systems assume the text to be written in …
Gaussian filter-based speech segmentation algorithm for Gujarati language
PV Gujarathi, SR Patil - … Techniques and Applications: Proceedings of the …, 2021 - Springer
Automatic speech segmentation is a main step in speech signal production and analysis
process. Great advancement in speech synthesis has already been made using …
process. Great advancement in speech synthesis has already been made using …
A robust syllable centric pronunciation model for Tamil text to speech synthesizer
V Rajendran, GB Kumar - IETE Journal of Research, 2019 - Taylor & Francis
ABSTRACT The Human–Computer Interaction era contrived the researchers to work on
speech and languages to develop interactive interfaces. A speech synthesizer is one such …
speech and languages to develop interactive interfaces. A speech synthesizer is one such …
[PDF][PDF] Speech synthesis for text-based editing of audio narration
Z Jin - 2018 - cs.princeton.edu
Recorded audio narration plays a crucial role in many contexts including online lectures,
documentaries, demo videos, podcasts, and radio. However, editing audio narration using …
documentaries, demo videos, podcasts, and radio. However, editing audio narration using …