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@article{145724,
        author = {Neethu V M and Shemitha P A},
        title = {Vehicle Navigation Using Natural Spoken Langugae},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {510-514},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145724},
        abstract = {Vehicle navigation using natural spoken language is a navigation dialogue system we can place this system in our vehicle and we can use it while we are driving. We can communicate it with our spoken language. This system is mainly based on two parts, first is ASR (Automatic Speech recognition) and NLP (Natural Language Processing).  ASR is the process of converting speech to text. For this we have to consider a decoder to convert speech to text by using lexicon dictionary, language model and acoustic files. Next part is NLP, it takes the output text from ASR and analyzes this text to check whether the text is based on navigation oriented or not. And after all this process using RNN/LSTM (Recurrent Neural Network/ Long Short Term Memory) find the semantic representation of text. Then process the data for direction with map and speech.},
        keywords = {Automatic Speech Recognition, Natural Language Processing, Deep Neural Network, Recurrent Neural Network.},
        month = {},
        }