Informatics Publishing Limited

Sonali Goyal ¹, Neera Batra ¹

Affiliations
1 Maharishi Markandeshwar University, Mullana - 133207, Haryana, IN

Abstract

Objectives: To provide detailed study of all the algorithms and analyse them in a way to conclude that an integration approach describes the best combination for voice recognition in terms of recognition rate. Methods: Voice processing is a process in which words of a speaker are recognized by the information of the waves. There are number of algorithms used for voice recognition named as Perceptual Linear Prediction, Linear Predictive Code, Mel Frequency Cepstral Coefficient, Dynamic Time Warping etc. Findings: Graph is used to depict the recognition rate of all the voice recognition techniques with different types of classifiers named as HMM (Hidden Markov Model), DTW ( Dynamic Time Wrapping), VQ (Vector Quantization), SVM (Support Vector Machine) etc. which clearly describes that the hybrid approach may provide better results as compared to individual methods. Performance and recognition rate is not so good by using individual techniques because it does not provide better recognition rate while taking into consideration the security of an individual living alone at home. After the comparative analysis, it is concluded that there is a need to develop a better combined approach which may provide better recognition rate as compared to individual methods. This paper will help the researchers to know the basic difference between the explained feature extraction techniques. Application: Main application we are using is Voice Recognition in order to provide security to an individual living alone at home.

Keywords

Feature Extraction, LPC, MFCC, PLP, Voice Recognition

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Akhil Khare ¹, Shashank Sharma ¹, Sonali Goyal ¹

Affiliations
1 Department of Computer Science, JNU, Jodhpur, IN

Abstract

Augmented reality is a powerful user interface technology that augments the user’s environment with computer generated entities In this venture we investigate building indoor location based applications for a mobile augmented reality system. Augmented reality is a natural interface to visualize special information such as position or direction of locations and objects for location based applications that process and present information based on the user’s position in the real world. To enable such applications we construct an indoor tracking system that covers a substantial part of a building. It is based on visual tracking of fiducial markers enhanced with an inertial sensor for fast rotational updates This is especially problematic for mobile augmented reality systems, which ideally require extremely precise position tracking for the user’s head, but which may not always be able to achieve the necessary level of accuracy. While it is possible to ignore variable positional accuracy in an augmented reality user interface, this can make for a confusing system; for example, when accuracy is low, virtual objects that are nominally registered with real ones may be too far off to be of use. Our system uses inferencing and path planning to guide users toward targets that they choose.

Keywords

Location Aware Mobile Computing, Outdoor Augmented Reality, Hybrid Sensors, Augmenting Buildings with Infrared Information, Virtual Object Manipulation.

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