An efficient adaptive artificial neural network based text to speech synthesizer for Hindi language

Author:

Kumari Ruchika,Dev Amita,Kumar Ashwani

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference44 articles.

1. Abhash D, Sarmah P, Samudravijaya K, Prasanna SRM (2019) Development of Assamese text-to-speech system using deep neural network. In 2019 National Conference on Communications (NCC), pp. 1–5. IEEE

2. Absa AH, Deriche M, Elshafei-Ahmed M, Elhadj YM, Juang BH (2018) A hybrid unsupervised segmentation algorithm for Arabic speech using feature fusion and a genetic algorithm (July 2018). IEEE Access 6:43157–43169

3. Afzal H Md, Memon S, Gregory MA (2010) A novel approach for MFCC features extraction, In 2010 4th International Conference on Signal Processing and Communication Systems, pp. 1–5. IEEE, 2010.

4. Ansal V (2020) ALO-optimized artificial neural network-controlled dynamic voltage restorer for compensation of voltage issues in distribution system. Soft Comput 24(2):1171–1184

5. Archana B, Dev A, Kumari R, Agrawal SS (2016) Labelling of Hindi speech. IETE J Res 62ript to speech conversion for Hindi la(2):146–153

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Speech Processing for Arabic Speech Synthesis Based on Concatenation Rules;SN Computer Science;2024-03-13

2. Bridging Language Barriers: Exploring Hindi-to-English Speech-to-Speech Translation for Multilingual Communication;Lecture Notes in Networks and Systems;2024

3. Robustness evaluation of multi-layer perceptron based speech emotion recognition model for Hindi language;APPLIED DATA SCIENCE AND SMART SYSTEMS;2023

4. Hindi title generation using rule-based approach;APPLIED DATA SCIENCE AND SMART SYSTEMS;2023

5. Multimodal Machine Translation for Sanskrit-Hindi: An Empirical Analysis;2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST);2022-12-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3