AUTOMATIC ESSAY ASSESSMENT.
This is the learning report on research field on computer science which focuses on the automatic essay assessment. The central idea of this topic was to initialize the idea of automatic essay assessment to all people who deals with the computer literacy. Automatic essay assessment is the use of electronic machine to make essay evaluation. This started as long as 1966 where by the researchers conducted the project called Project Essay Grader (PEG). The researchers implemented the software which measures the total number of words and length of essay.
The aim of automatic essay assessment is to prevent plagiarism to the students in some cases the students when they are given the assignment they are copying from the internet or books and it is difficult to figure out the problem by manual work, then by using this type of software it is easier for teacher to find the problem. Secondly it improves the marking of essays to be reliable sometimes teacher ideas biasing students by using different criteria e.g. relationship etc by using the programmed software teacher may have no chase to exercise the favoritisms habit. Thirdly automatic essay assessment improves the individual and detailed feedback to the students which is relevant to what they have done in their assignment, so the learning outcomes may be evaluated and the grades are well determined.
Advantages of automatic essay assessment can be categorized into two parts to teachers and to the students

To teachers
Automatic essay assessment saves time in marking process, the teachers when marking manually they get a lot of problems as long as there work would not be completed on time. The time allocated for general assessment in the institution will be met by the use of the automatic essay assessment. Not only that but also it help to make a critical final grade and they might be to objectives set. Moreover make always the teacher consistency and avoids the biasness to his/her students

To the students
The automatic essay assessment makes the students to be in high challenge to think critically that their essays will be assessed by the software so they would have to write their essays which would meet the criteria which are set by their instructors. The feedback which would be back is real and relevant to what they did in their essays. More than that it looks at the qualities of the students work and not comparing with others because each essay is assessed as it is so reflects the learning process of that particular student.

Problems
Wherever there is good comes also bad things foristance the costs to be encountered by making the software which could identify those criteria is very high such that the schools can not avoid to purchase them. As long as the teacher are reading many essays they get many ideas they the use of soft wares to assess them many lead to the reduction of thinking capacity of the teachers. Not only that but also they need the high qualified people in Information technology to set up and run those machines.

Challenges
In most cases the Tanzanians students at lower level do not know how to use the computer, they simply write on hard copy which can not be lead by the computer so we berg to those who can make a software which can even assess the essay in hardcopy. Also the machine can assess each and every thing which appear in the essay and give back the whole essay with those corrections.

SPEAKER RECOGNITION

SPEAKER RECOGNITION
The presentation aimed at giving the general view of how human beings are able to recognize someone’s voice by hearing in relatively to the machine how can identify two different voices. Speaker recognition is the process of automatically recognizing speaking basing on the recorded voice. The lesson was very pleasant as the clarification was quite easy to understand. The speaker recognition is of two kinds which are speaker verification and speaker identification
The system works under the principle of pitch variation, the sound pitch which is subjected into disparities is recorded baring into mind that the sound is in analogous signals. The interesting issue is how the analog speech is converted into digital signal then upon comparison of current speech and stores the previous speech.
The speaker recognition are used for sake of security purpose where the user has to do several trial of recording their voices so the machine is just taking the average of sound pitch and stores it. Once the user comes and wants to user the machine would repeat the same words which will be recorded now the machine will compare the recorded and the new sounds. Also speaker recognition is used to control of access to restrict the services more than that may be used be military operations to fire or bomb some areas by commanding the weapons by using merely words “shoot”
There are some challenges of speaker recognition which are encountered in speech recognition is about the exact unit to be recognized by the machine. On finding the boundaries of these units in the signal it is difficult to find what is the really voice of the user. Another problem is the variation of the sound due to some unavoidable circumstances e.g. influenza the sound vary and the machine deny to allow you to service to the really user.
To minimize the speaker recognition problem the following may be done
Ø Using the exact words required
Ø Maintain the voice pitch
Ø Be aware of the environment condition

Reference:

M.R Schroeder(1985) -Speech and speaker recognition.
http://www.speech.cs.cmu.edu/comp.speech/Section6/Q6.6.html