19-12-2012, 04:39 PM
ABSTRACT-SPEECH ACTIVATED WEB BROWSER
[attachment=44428]
ABSTRACT
The purpose of the presented system is to recognize the user's voice which is then converted into system recognizable commands. The system connects to the Internet and uses the commands to navigate through the Internet. In doing so, it reads back news from various websites to the user through a speaker. The system is designed to use natural language processing, meaning the user is able to converse with the system as if they were talking to an actual person.
Speech activated web browser is a dsp based project. It is related to speech processing in dsp. This project is done by means of speech recognition technique. Speech recognition deals with the process of automatically recognizing who is speaking on the basis of individual information included in speech wave. Speaker recognition methods can be divided into text-independent and text-dependent methods. In a text-independent system, speaker models capture characteristics of somebody's speech, which show up irrespective of what one is saying. In a text-dependent system, on the other hand, the recognition of the speaker's identity is based on his or her speaking one or more specific phrases, like passwords, card numbers, PIN codes, etc. This project is based on text independent speaker recognition system and makes use of mel frequency cepstrum coefficients to process the input signal and vector quantization approach to identify the speaker .The above task is implemented using MATLAB.
[attachment=44428]
ABSTRACT
The purpose of the presented system is to recognize the user's voice which is then converted into system recognizable commands. The system connects to the Internet and uses the commands to navigate through the Internet. In doing so, it reads back news from various websites to the user through a speaker. The system is designed to use natural language processing, meaning the user is able to converse with the system as if they were talking to an actual person.
Speech activated web browser is a dsp based project. It is related to speech processing in dsp. This project is done by means of speech recognition technique. Speech recognition deals with the process of automatically recognizing who is speaking on the basis of individual information included in speech wave. Speaker recognition methods can be divided into text-independent and text-dependent methods. In a text-independent system, speaker models capture characteristics of somebody's speech, which show up irrespective of what one is saying. In a text-dependent system, on the other hand, the recognition of the speaker's identity is based on his or her speaking one or more specific phrases, like passwords, card numbers, PIN codes, etc. This project is based on text independent speaker recognition system and makes use of mel frequency cepstrum coefficients to process the input signal and vector quantization approach to identify the speaker .The above task is implemented using MATLAB.