LEARNING DIARY ON
SPEAKER RECOGNITION:
SPEAKER RECOGNITION:
This topic was prepared by the students of Tumaini University College.Mr. Benjamin Mkwese and Ruben Minael first year students of Bachelor of Science in Information and communication Technology.
The research field was good and understood well: for the first time it was very difficult to select this topic because of fear and to thing where i can get the material for presentation therefore at the end of preparation come to conclude that it is good well topic.
The research field was good and understood well: for the first time it was very difficult to select this topic because of fear and to thing where i can get the material for presentation therefore at the end of preparation come to conclude that it is good well topic.
As human beings, we are able to recognize someone just by hearing him or her talk. Usually, a few seconds of speech are sufficient to identify a familiar voice. The idea to teach computers how to recognize humans by the sound of their voices is quite evident, as there are several fruitful applications of this task.
SPEAKER RECOGNITION:
Speaker recognition. Is the process of automatically recognizing who is speaking on the basis of individual information included in speech signals.
SPEAKER RECOGNITION HAS BEEN CATEGORISED INTO TWO CLASSES:
It can be divided into Speaker Identification and Speaker Verification. Speaker identification determines which registered speaker provides a given utterance from amongst a set of known speakers. Speaker verification accepts or rejects the identity claim of a speaker - is the speaker the person they say they are?
Speaker recognition technology makes it possible to a the speaker's voice to control access to restricted services, for example, phone access to banking, database services, shopping or voice mail, and access to secure equipment.
Speaker recognition technology makes it possible to a the speaker's voice to control access to restricted services, for example, phone access to banking, database services, shopping or voice mail, and access to secure equipment.
HOW THE SYSTEM WORKS:
Another thing has learned to this topic it is about how the system works.
The voice input to the microphone produce an analogue speech signal. An analogue to digital converter (ADC) converts this speech signal into binary words that are compatible with digital computer. The converted binary version is then stored in the system and compared with previously stored binary representations of words and phrases.
The current input speech is compared one at a time with the previously stored speech pattern after searching by the computer. When a match occurs, recognition is achieved. The spoken word is binary form is written on a video screen or passed along to a natural language understanding processor for additional analysis.
During training, the computer displays a word and the user reads it aloud. The computer digitizes the user’s voice and stores it. The speaker has to read aloud about 1000 words. Based on these samples, the computer can predict how the user utters some words that are likely to the pronounced differently by different people.
It is noted that even if the same speaker talks the same texts. there are always slight variation in amplitude or loudness of the signal,pitch,frequency difference, time gap etc. Due to this reasons there is never a perfect match between the templates and binary input word.
APPLICATION:
One of many application of speaker recognition is in military operations. Voice control of weapons is an example with reliable speech recognition equipment; pilots can give commands and information to the computers by simply speaking into their microphones they don’t have to use their hands for this purpose.
CONCLUTION:
The topic was good and well understood therefore to have this is a good top and better to register to the system inoder to secure the materials you have may be in the machine such as computer.
