Speech Conversion Using Neural Networks - 1063 Words

CS 549 TOPICS IN ARITIFICIAL INTELLIGENCE TEXT TO SPEECH CONVERSION USING NEURAL NETWORKS Project Report Firstly, Artificial Intelligence was used in 1956, at the Dartmouth conference and from then it is expanded because of various proposed theories and many new principles developed by its researchers. It is an area of computer science that focusses on creating machines that can engage on behaviors of humans, solve the computational models for complex problems. Here Neural Networks are a computational approach to AI, which is based on the great collection of Neural Units, which models a Human brain as connected large number of neurons. These neurons are connected to each other to process the information as of the human brain. Artificial neural network (ANN) learn by testing and training data. The Artificial Intelligence in brief can be defined as the study and design of intelligent agents. Text to Speech Conversion using Neural networks: In this project, we are developing Natural Language Processing (NLP), which is related to processing human language by computer. The base paper for the implementation of our project is â€Å"Natural Language processing techniques in Text-To-Speech synthesis and Automatic Speech Recognition† Here the base paper we referred depicts usage of natural language processing techniques which includes the production of audio from the input text i.e., text to speech synthesis and the inverse process i.e., automatic speech recognition. From this paper weShow MoreRelatedPersuasive Speech : Automatic Speech Recognition1610 Words   |  7 PagesAutomatic speech recognition is a tool that allows computers to translate spoken language into written text. This technology can assist users in interpreting and using audio information for applications such as transcribing interviews, human-computer interactions, and many more. Speech recognition is an application the Ministry of Justice has expressed great interest in. They wish to automate the conversion of voice recordings of inmate phone conversations to text, which can then be analyzed forRead MoreLocation Based Sentiment Analysis Of Twitter Data: A Literature2234 Words   |  9 Pagesoptimization processes. Social media plays an import ant role in taking decisions about any products based on the reviews provided by the user. It accurately tells about the exact opinion of the user regarding the product. Twitter is one of the famous social network which is used by most the online user. The account holders are allowed to post their opinions in the form of tweets. In the previous approaches, the product reviews alone considered. 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