Recognition Techniques and System Classification

The voice is most primary mode of Communication among of human being. The communication among human computer interaction is called human computer interface. Voice potential of being important of interaction with computer .This paper gives an overview of major technological perspective and appreciation of the fundamental progress of recognition and also gives overview technique developed in each stage of recognition. This paper helps in choosing the technique along with their relative merits & demerits. A comparative study of different technique is done as per stages. This paper is concludes with the decision on feature direction for developing technique in human computer interface system using Hindi Language

SPEECH CONTROLLED ROBOCAR

The main goal of this paper is to introduce “hearing” sensor and also the speech synthesis to the robotic car such that it is capable to interact with human through Spoken Natural Language (NL). Speech recognition (SR) is a prominent technology, which helps us to introduce “hearing” as well as Natural Language (NL) interface through Speech for the interaction. The most challenging part of the entire system is designing and interfacing various stages together. Our approach was to get the analog voice signal being digitized. The frequency and pitch of words be stored in a memory. These stored words will be used for matching with the words spoken. When the match is found, the system outputs the address of stored words. Hence we have to decode the address and according to the address sensed, the car will perform the required task. Since we wanted the car to be wireless, we used RF module. The address was decoded using microcontroller (DSPIC30F) and then applied to RF module. This together with driver circuit at receivers end made complete intelligent systems

A register array based low power FFT processor for speech recognition

[[abstract]]Fast Fourier Transform (FPT) plays an important role in the field of digital signal processing. High performance FFT processors are widely used in different application, such as speech processing, image processing, and communication system. In this paper, we proposed a novel register array based low power FFT processor for Mel Frequency Cepstral Coefficient (MFCC). Compared with [9-12], this novel architecture can reduce more power consumption. This approach is very attractive for the speech feature extraction of MFCC.[[note]]SC

A register array based low power FFT processor for speech recognition

[[abstract]]Fast Fourier Transform (FPT) plays an important role in the field of digital signal processing. High performance FFT processors are widely used in different application, such as speech processing, image processing, and communication system. In this paper, we proposed a novel register array based low power FFT processor for Mel Frequency Cepstral Coefficient (MFCC). Compared with [9-12], this novel architecture can reduce more power consumption. This approach is very attractive for the speech feature extraction of MFCC.[[note]]SC