ALPHABET RECOGNITION USING SPHINX-4 BY TUSHAR PATEL

OUT LINE WHY SPHINX-4? WHAT IS SPHINX -4 ? FRAME WORK IN SPHINX-4. PROJECT DEMO. CHANGES IN DEMO TO MAKE MY PROJECT. WHY IT IS OPEN SOURCE FRAME WORK?

WHY SPHINX-4? The traditional approach of speech recognition system design which is optimized a particular methodology. In Past, researcher need to develop whole system for only one simple change in research. Single approach License requirement agreement Sphinx-4 -Open source of frame work

SPHINX-4 Sphinx-4 is a modular and pluggable framework that uses design patterns from existing systems, with sufficient flexibility to support emerging areas of research interest. Modular: - It Includes separable components of specific tasks. Pluggable: - You can easily replace modules at run time

FRAME WORK IN SPHINX-4 Front end: -Takes one or more input signals and parameterizes them into a sequence of Features. Decoder: -Translate any type of language model from pronunciation information from the dictionary and structural information from one or more sets of Acoustic Models, into a Search-Graph. Decoder takes input from the front-end and search graph from the linguist for decoding and generate results.

FRAME WORK Linguist: -It is used to generate a search-Graph which is useful for decoder for search as well as hiding the complexities generated at the time of generation of graph. Language model Dictionary Acoustic model

ALPHABET RECOGNITION This is a project in which I used the open source frame work of sphinx-4. By making some changes in the given demo file, I have created my own project of Alphabet Recognition. The recognizer is alphabet-recognizer and recognizes alphabets.

DEMO OF PROJECT

CHANGES IN DEMO FILE JAVA FILE GRAMMER FILE CONFIGURATION FILE

HOW YOU CAN CREAT YOUR OWN PROJECT? It is easier to create your project by using open source of frame work of sphinx-4. Linguist Frame: - By allowing different implementations of the Linguist to be plugged in at run time, Sphinx-4 also allows individuals to provide different configurations for different system and recognition requirements.