13-10-2010, 10:55 AM
[attachment=5814]
ABSTRACT:
A voice based system has been developed to control a mobile robot using oral
Commands .the system is divided into two man components
peech recognition engine and robotic control unit.in the speech recognition engine,hidden markov models are used
As main method in recognizing oral commands.the robotic control unit is developed under the ARIA environment ,which is provide by the robot manufacturer.
We are taking the voice data from the microphone using a soundcard.this data is stored
In an array.this earray is passed on to a function which extracts word from the array(i.e.
Spoken words are extracted & quiet periods are dumped).these words are sent to a function which extracts frequency as a function of time.this frequency vector of the spoken word.this vector is compared with reference vectors.one of the reference vectors would match(i.e. the inner product in this case greater than the other 5).the command correspondingto this reference vector is fed to the microcontroller.
In this project we are getting a user dependent isolated word recognition system with a recognition accuracy of about 85% using 6 words the accuracy can be improved further
And the system can be used for more number of word if during the trainingof the systemo
The noise conditions are improved
Applications:
We belive such a system would find wide variety of applications menu driven systems such as email readers household appliances like washing machines microwave ovens
And pagers and mobiles e.t.c will become voice controlled in future our project may find applications out their because inherently the number of possible inputs is limited using our soft ware these can be controlled through a network as well
OPERATOR INTERFACE FOR DIRECTION CONTROL USING AN INTELLIGENT
ROBOT BASED ON VOICE DETECTION SYSTEM
ROBOT BASED ON VOICE DETECTION SYSTEM
ABSTRACT:
A voice based system has been developed to control a mobile robot using oral
Commands .the system is divided into two man components
peech recognition engine and robotic control unit.in the speech recognition engine,hidden markov models are usedAs main method in recognizing oral commands.the robotic control unit is developed under the ARIA environment ,which is provide by the robot manufacturer.
We are taking the voice data from the microphone using a soundcard.this data is stored
In an array.this earray is passed on to a function which extracts word from the array(i.e.
Spoken words are extracted & quiet periods are dumped).these words are sent to a function which extracts frequency as a function of time.this frequency vector of the spoken word.this vector is compared with reference vectors.one of the reference vectors would match(i.e. the inner product in this case greater than the other 5).the command correspondingto this reference vector is fed to the microcontroller.
In this project we are getting a user dependent isolated word recognition system with a recognition accuracy of about 85% using 6 words the accuracy can be improved further
And the system can be used for more number of word if during the trainingof the systemo
The noise conditions are improved
Applications:
We belive such a system would find wide variety of applications menu driven systems such as email readers household appliances like washing machines microwave ovens
And pagers and mobiles e.t.c will become voice controlled in future our project may find applications out their because inherently the number of possible inputs is limited using our soft ware these can be controlled through a network as well
