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

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

Registration ID: IJNRD_194218

Published ID: IJNRD2305167

DOI: 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.

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"Text-To-Speech Synthesizer and Voice Cloning using Generative Model", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.b522-b531, May-2023, Available :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: 000121116

Research Area: Computer Science & Technology 

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)

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

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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