SPEECH RECOGNITION
INTRODUCTION
Speech recognition is also said to be automatic speech recognition or computer speech recognition which means understanding voice of the human and performing any required task or the ability to match a voice against a acquired or provided vocabulary.¬¬ It is a process by which a computer takes speech signal and converts it into words in real time according to an algorithm implemented as a computer program. It is achieved by following certain steps and the software responsible for is known as Speech Recognition System. The task is to making understand computer to spoken language. By ‘understand’ mean to computer should react appropriately and convert the input speech into another medium e.g. text. Speech recognition …show more content…
Accent of speaking varies from person to person and this is a very big challenge
A speaker may speak something very quickly and all of the words spoken have to be individually recognized accurately.
TYPES OF SPEECH RECOGNITION SYSTEM
1.Speaker dependent:-It works by learning the unique charecteristics of a single persons voice and depend on the speaker for training.
2. Speaker Independent:-It is designed to recognize anyone’s voice. And so here is no need of training.
BASIC PRINCIPLES OF SPEECH RECOGNITION
The smallest unit of any spoken language is called Phoneme. To interpret speech we must have a way of identifying the components of spoken words and phonemes act as identifying markers in speech. An algorithm has to be used to interpret the speech further. The Hidden Markov Model is a commonly used mathematical model used to do this. To create a speech recognition system, a large database of models is made to match each phoneme. When a comparison is performed, the most likely match is determined between the spoken phoneme and stored one, and further computations are …show more content…
Such Systems are used in legal and the generation of subtitles for live sports and current affairs programs on television; not directly but via an operator that re-speaks the dialog into the software trained in the operators voice; and operator also have a special training to do this, first to speak clearly and consistently to improve recognition accuracy, second for indicating punctuation by various techniques. In courtrooms and similar situations where the operator's voice would disturb to operating, he or she may sit in a soundproofed booth or wear a Steno
INTRODUCTION
Speech recognition is also said to be automatic speech recognition or computer speech recognition which means understanding voice of the human and performing any required task or the ability to match a voice against a acquired or provided vocabulary.¬¬ It is a process by which a computer takes speech signal and converts it into words in real time according to an algorithm implemented as a computer program. It is achieved by following certain steps and the software responsible for is known as Speech Recognition System. The task is to making understand computer to spoken language. By ‘understand’ mean to computer should react appropriately and convert the input speech into another medium e.g. text. Speech recognition …show more content…
Accent of speaking varies from person to person and this is a very big challenge
A speaker may speak something very quickly and all of the words spoken have to be individually recognized accurately.
TYPES OF SPEECH RECOGNITION SYSTEM
1.Speaker dependent:-It works by learning the unique charecteristics of a single persons voice and depend on the speaker for training.
2. Speaker Independent:-It is designed to recognize anyone’s voice. And so here is no need of training.
BASIC PRINCIPLES OF SPEECH RECOGNITION
The smallest unit of any spoken language is called Phoneme. To interpret speech we must have a way of identifying the components of spoken words and phonemes act as identifying markers in speech. An algorithm has to be used to interpret the speech further. The Hidden Markov Model is a commonly used mathematical model used to do this. To create a speech recognition system, a large database of models is made to match each phoneme. When a comparison is performed, the most likely match is determined between the spoken phoneme and stored one, and further computations are …show more content…
Such Systems are used in legal and the generation of subtitles for live sports and current affairs programs on television; not directly but via an operator that re-speaks the dialog into the software trained in the operators voice; and operator also have a special training to do this, first to speak clearly and consistently to improve recognition accuracy, second for indicating punctuation by various techniques. In courtrooms and similar situations where the operator's voice would disturb to operating, he or she may sit in a soundproofed booth or wear a Steno