GENERATING AUTO AUDIO TRANSLATION

SUGISIVAM.S , VARUNAADARSH.M , PRASANTH.A

statistical techniques,certain n-grams,frequency, distribution, or even their shape.

To translate every language into English is the project's fundamental goal. Our initiative can assist in translating other video languages into English. Our project entails 1).identifying the language, and 2). translating the language into text format. 3). transforming the text into an audio format 4). syncing the audio file. We employ a deep learning-based architecture called FuzzyGCP to identify languages. Hidden Markov Models (HMMs) for automated speech recognition (ASR) are used for audio to text conversion. We employ the Encoder, Decoder, and Converter components of Deep Voice 3 architecture to convert text to audio format.

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"GENERATING AUTO AUDIO TRANSLATION", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.758-762, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001120.pdf

Volume 11 Issue 2, February-2024

Pages : 758-762

Paper Reg. ID: TIJER_151061

Published Paper Id: TIJERB001120

Downloads: 000325

Research Area: Science and Technology

Country: TIRUVALLUR, TAMILNADU, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJERB001120

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJERB001120

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

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