Subject Code : COMP319
Country : Canada
Assignment Task

Research Paper

Write a 10-12 page research paper on a topic in A1, chosen in consultation with the instructor. Your paper must reference at least three recent reputable academic sources of information: this could include specialized books (not general textbooks) or scholarly articles (not popular publications or blog posts). Additional reputable sources are allowed and recommended.

Your content should include a discussion of existing work in your chosen topic. It should also include some of your own thoughts, in the form of argument, evaluation, analysis, comparison, synthesis, or some other, depending on the topic. This component should be well-reasoned and thoroughly justified. Make sure you discuss your topic with the instructor first, and you have some idea what form your own contribution will take.

Your paper should include a title page and bibliography (not included in the page count). It should be a normal font size (12pt max), with normal margins and 1.5 line spacing. Extensive whitespace, blockquotes, large images, tables, or Other non-text data do not contribute to the page count, It must be clearly written, readable, neatly formatted and free Of spelling and grammatical errors.


Research topic:
A comparative study between the Hidden Markov Model and Artificial Neural Network used in speech recognition to interpret information as a form of natural language processing.

Speech recognition is interdisciplinary. the subfield of natural language processing that develops methodologies and technologies that enable the acknowledgment and interpretation of spoken language into text by computers.

Modern general-purpose speech recognition systems are based on Hidden Markov Models. These are statistical models that output a sequence of symbols or quantities. HMMs are used in speech recognition because a speech signal can be viewed as a piecewise stationary signal or a short-time stationary signal-

Artificial neural networks (ANN) are computing systems that are inspired by, but not identical to, biological neural networks that constitute animal brains. Such systems "leam" to perform tasks by considering examples, generally without being preplanned with task-specific miles.

 

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  • Posted on : December 05th, 2018
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