01-10-2010, 02:21 PM
[attachment=4741]
Speech Recognition
Sub mitted by
Speech Recognition
Aditi.P
Swathi.Ch
Introduction
What is Speech Recognition?
- Voice Recognition?
Where can it be used?
- Dictation
- System control/navigation
- Commercial/Industrial applications
- Hand held digital recorders
Abstract:
Language is man's most important means of communication and speech its
primary medium. Speech provides an international forum for
communication among researchers in the disciplines that contribute to
our understanding of the production, perception, processing, learning
and use. Spoken interaction both between human interlocutors and
between humans and machines is inescapably embedded in the laws and
conditions of Communication, which comprise the encoding and decoding
of meaning as well as the mere transmission of messages over an
acoustical channel. Here we deal with this interaction between the
man and machine through synthesis and recognition applications.
The paper dwells on the speech technology and conversion of speech into
analog and digital waveforms which is understood by the machines
Speech recognition, or speech-to-text, involves capturing
and digitizing the sound waves, converting them to basic language units
or phonemes, constructing words from phonemes, and contextually
analyzing the words to ensure correct spelling for words that sound
alike. Speech Recognition is the ability of a computer to recognize
general, naturally flowing utterances from a wide variety of users. It
recognizes the caller's answers to move along the flow of the call.
We have emphasized on the modeling of speech units
and grammar on the basis of Hidden Markov Model. Speech Recognition
allows you to provide input to an application with your voice. The
applications and limitations on this subject has enlightened us upon
the impact of speech processing in our modern technical field.
While there is still much room for improvement, current speech
recognition systems have remarkable performance. We are only humans,
but as we develop this technology and build remarkable changes we
attain certain achievements. Rather than asking what is still
deficient, we ask instead what should be done to make it efficient¦.
Speech Recognition
Sub mitted by
Speech Recognition
Aditi.P
Swathi.Ch
Introduction
What is Speech Recognition?
- Voice Recognition?
Where can it be used?
- Dictation
- System control/navigation
- Commercial/Industrial applications
- Hand held digital recorders
Abstract:
Language is man's most important means of communication and speech its
primary medium. Speech provides an international forum for
communication among researchers in the disciplines that contribute to
our understanding of the production, perception, processing, learning
and use. Spoken interaction both between human interlocutors and
between humans and machines is inescapably embedded in the laws and
conditions of Communication, which comprise the encoding and decoding
of meaning as well as the mere transmission of messages over an
acoustical channel. Here we deal with this interaction between the
man and machine through synthesis and recognition applications.
The paper dwells on the speech technology and conversion of speech into
analog and digital waveforms which is understood by the machines
Speech recognition, or speech-to-text, involves capturing
and digitizing the sound waves, converting them to basic language units
or phonemes, constructing words from phonemes, and contextually
analyzing the words to ensure correct spelling for words that sound
alike. Speech Recognition is the ability of a computer to recognize
general, naturally flowing utterances from a wide variety of users. It
recognizes the caller's answers to move along the flow of the call.
We have emphasized on the modeling of speech units
and grammar on the basis of Hidden Markov Model. Speech Recognition
allows you to provide input to an application with your voice. The
applications and limitations on this subject has enlightened us upon
the impact of speech processing in our modern technical field.
While there is still much room for improvement, current speech
recognition systems have remarkable performance. We are only humans,
but as we develop this technology and build remarkable changes we
attain certain achievements. Rather than asking what is still
deficient, we ask instead what should be done to make it efficient¦.
