- #LANGUAGE TRANSLATOR WITH VOICE RECOGNITION GENERATOR#
- #LANGUAGE TRANSLATOR WITH VOICE RECOGNITION SOFTWARE#
To achieve this, the interface recognizes a speech query and converts it into text, it processes the text through a Java program and identifies keywords, generates a SPARQL query, extracts the information from the website and reads it in a voice for the user. In that way, the end users avoid the complicated SPARQL language. This paper shows the implementation of a friendly prototype interface activated by voice to query and retrieving information from websites built with Semantic Web tools. Making the SemanticWeb accessible for people who do not know SPARQL is essential for the use of friendlier interfaces, and a good alternative is Natural Language. The main restriction of the Semantic Web is the difficulty of the SPARQL language, which is necessary for extracting information from the Knowledge Representation also known as ontology.
#LANGUAGE TRANSLATOR WITH VOICE RECOGNITION GENERATOR#
Present flow of proposed solution is : input (in 'Hindi with regional dialect'), speech processing module Hindi to English translator, ambiguity and accuracy enhancer module, output generator in the form as Input languages. One of the techniques from speech processing namely, Natural Language Understanding and machine translation are candidates for this work. Under this all, we wish to study effect of speech processing techniques, pertaining to noise reduction, dialect and accent processing etc., on the continuous speech input in terms of attaining higher accuracies of computer understandings. Our aim is convert different-different Hindi dialects into purer Hindi Language. Additional computational efforts will be done to enhance understandability of input and accuracy of output. This purer Hindi signal will be translated to different-different country mother tongues i.e. We shall apply dialect and accent filtering to generate normal form Hindi input signal. Nimadi, Malawi, Bhagheli, Bhundelkhandi etc.
villagers (illiterate) and cities in his different-different dialects i.e.
Technically, the input would be a speech signal and text form from the country India i.e.
#LANGUAGE TRANSLATOR WITH VOICE RECOGNITION SOFTWARE#
This will be worked out as software, based on speech processing fundamentals and language translation techniques it will be a research based software system. As we know that the more than 19,500 languages or dialects are spoken in India as mother tongues.
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