Vocals - An App for Vocally Impaired using NLP Conversational Model
Prashasthi K Kanchan, Sahana S, Shreya K Loni, R Raksha, Tina Babu · 2023
Conversations between humans and machines have become an increasingly common occurrence in today’s digital age. As technology progresses, automated systems are becoming more adept at comprehending and reacting to human language through advancements in language analysis and computational linguistics. While this has brought many benefits, such as improved customer service and faster access to information, there are also some potential drawbacks to consider. Though technology is advancing rapidly, they still lack in many aspects such as understanding human emotions, intentions, empathy, flexibility, privacy and security. The main challenge here is how the machine responds relevantly and quickly in a continuous conversation with humans. This research is all about developing an android application that helps vocally impaired people to book appointments easily using a bidirectional LSTM model, text-to-speech and speech-to-text to have a natural conversation with human.