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Multilingual Speech to Speech Translation for Telugu to English and Hindi to English Speech


Author(s):

Smt. P. Prithvi , National Institute of Technology,Warangal. (N.I.T.W); Dr. T. Kishore Kumar, NITW

Keywords:

Deep Neural Networks, Phonetic approach, Speech Recognition, Mapping, Language Identification, ASR, Transcriptions

Abstract:

Speech processing is emerged as an essential task in the context of modern communication system. The concept of speech translation deals with the speech signals in a source language A to the target language B. In my work mainly speech to speech translation aiming our local language Telugu to English translation and our national language Hindi to English. In this process, first extraction of features and then reducing noise which can further be used to transfer into text form is done. In this paper, deep learning based modelling technique is employed for speech recognition. After conversion of the text, the data is compared with dictionary data as per the transcriptions for language identification. Mapping is used to generate the signals for transcription. The index value of the recognition is used for language identification. After the language is identified the phonetic approach is used for generate the corresponding text to speech signal.


Other Details:

Manuscript Id :IJSTEV4I9036
Published in :Volume : 4, Issue : 9
Publication Date: 01/04/2018
Page(s): 162-167
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