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Speech to Text Conversion using Android Platform

By B. Raghavendhar Reddy and E. Mahender


For the past several decades, designers have processed speech for a wide variety of applications ranging from mobile communications to automatic reading machines. Speech recognition reduces the overhead caused by alternate communication methods. Speech has not been used much in the field of electronics and computers due to the complexity and variety of speech signals and sounds. However, with modern processes, algorithms, and methods we can process speech signals easily and recognize the text. In this project, we are going to develop an on-line speech-to-text engine. The system acquires speech at run time through a microphone and processes the sampled speech to recognize the uttered text. The recognized text can be stored in a file. We are developing this on android platform using eclipse workbench. Our speech-to-text system directly acquires and converts speech to text. It can supplement other larger systems, giving users a different choice for data entry. A speech-to-text system can also improve system accessibility by providing data entry options for blind, deaf, or physically handicapped users. Voice SMS is an application developed in this work that allows a user to record and convert spoken messages into SMS text message. User can send messages to the entered phone number. Speech recognition is done via the Internet, connecting to Google's server. The application is adapted to input messages in English. Speech recognition for Voice uses a technique based on hidden Markov models (HMM- Hidden Markov Model). It is currently the most successful and most flexible approach to speech recognition

Topics: HMM, Android Os, DVM, Speech Recognition, Intents
Year: 2014
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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