Speech Recognition: Ethics, Integrity, Safety, and Risks

Speech Recognition 1
SPEECH RECOGNITION
A Research Paper on Ethics By
Student’s Name
Name of the Professor
Institutional Affiliation
City/State
Year/Month/Day

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Table of Content
1. Introduction
2. Research Background
3. Pros and Cons of research4
3.1. Spelling4
3.2. Speed4
3.3. People with Disabilities5
3.4. Limited Vocabularies ................................................................................5
3.5. Delays..................................................................................................5
3.6. Training ................................................................................................6
4. Ethics Issues, Integrity and Safety Issues, and risks6
4.1. Ethical Issues6
4.2. Integrity and Safety7
5. Response plan to the issues and risks7
5.1.Response to Ethics8
5.2. System Architecture8
6. Conclusion10
7. References12

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INTRODUCTION
This report paper is about issues and ethics issues when conducting research the field of
speech recognition. The main objective of this report is to develop the deep understanding of
research ethics in the field of speech recognition. There is need of collecting and analyzing
information related to the ethics in this field and have a comprehensive understanding of ethics
policy used in the residential nation, state, and institute. Some of the sub-topics discussed in this
research include research background, pros and cons of the research, ethics issues, integrity, and
safety risks and issues, and response plan to issues and risks.
Research Background
The chosen research is about speech recognition. Speech recognition can be defined as an
inter-disciplinary sub-field of computational linguistics that develops technologies and
methodologies which enhances the translation and recognition of a language spoken into text by
computers. This research is based on the ability or a program or machine to identify phrases and
words in the spoken language and then converting them to format that is readable by machines.
The research incorporates research and knowledge in the electrical engineering, computer
science, and linguistics (APAIS, 2007).
The speech recognition functions by the use of algorithms through language and acoustic
modelling. Language modelling matches sound with the sequence of words that sound similar
while acoustic modelling denotes the relationship between linguistic units of audio and speech
signals. The expected outcome of this research on speech recognition is to develop a system that
can be applied in areas such as aircraft which is normally known as direct voice input,

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preparation of structured documents such as radiology report, simple data entry such as entering
a credit card number, call routing and voice user interfaces such as voice dialing (Acton, 2012).
This research requires an evaluation of issues and ethics issues while conducting research
in the field of speech recognition. Ethics is used in research to evaluate the behaviour of the
researcher and the results of the research. There are numerous safety issues and risks associated
with the research on speech recognition ranging from the researchers and also the final users
(Ayuso, 2012).
Pros and Cons of Research
There are numerous advantages and disadvantages associated with the research. This
section discusses the pros and cons that are likely to be faced in the voice recognition research.
The following are some of the pros in the speech recognition:
Spelling
One of the well-known advantages of voice recognition is that the correct spelling of the spoken
word will always be captured even if the speaker did not actually know the spellings of the work.
For those individuals who struggle with the correct spelling, they can easily dictate to the voice
recognition system which is expected to automatically spell out the word correctly (DeMori,
2012).
Speed
The voice recognition enables a greater speed in the production of typed work hence many
people are enamoured with the concept of voice recognition. Instead of having to learn on how to