Text-To-Speech Synthesizer and Voice Cloning using Generative Model

Registration ID: IJNRD_194218

Published ID: IJNRD2305167

: Click Here to Get

Ravishek Kumar Singh, Himanshu Pal, Rohit Raj, Mohd Tariq, Sandeep kumar

Tacotron, spectrogram, TTS, embeddings.

We present a neural network- based text-to-speech (TTS) synthesis system that can synthesise spoken sounds in the voices of many speakers. Our system is made up of three independently trained components: a speaker encoder network that was trained on a speaker verification task using an independent dataset of noisy speech without transcripts from thousands of speakers to generate a fixed-dimensional embedding vector from only seconds of reference speech from a target speaker; a Tacotron- based sequence-to-sequence synthesis network that generates a model spectrogram from text, conditioned on the speaker embedding; and we show that the proposed model can transfer the discriminatively-trained speaker encoder' s knowledge of speaker variability to the multispeaker TTS challenge and synthesis authentic speech from speakers not observed during t r a i n i n g . To g e t t h e o p t i m u m generalisation performance, we quantify the value of training the speaker encoder on a wide and varied speaker set. Finally, we demonstrate that randomly chosen speaker embeddings can synthesis speech in the voices of fresh speakers who are not comparable to those used in training, showing that the model has learnt a high- quality speaker representation.

Published Paper   E-Certificate

Ravishek Kumar Singh, Himanshu Pal, Rohit Raj, Mohd Tariq, & Sandeep kumar (May-2023). Text-To-Speech Synthesizer and Voice Cloning using Generative Model. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), b522-b531. https://ijnrd.org/papers/IJNRD2305167.pdf

Volume 8 Issue 5, May-2023

Pages : b522-b531

Paper Reg. ID: IJNRD_194218

Published Paper Id: IJNRD2305167

Downloads: 000121992

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Greater Noida, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305167.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305167

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.

You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

Call For Paper - Volume 10 | Issue 11 | November 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.

For more details, refer to the official notice: UGC Public Notice

Submit Paper Online

Important Dates for Current issue

Paper Submission Open For: November 2025

Current Issue: Volume 10 | Issue 11 | November 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 30-Nov-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details

Approval, Licenses and Indexing: More Details