Development of Framework for Automatic Speech Recognition

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 5

Abstract

In this paper we have proposed an automatic speech recognition framework using agents. In this we have included both audio recognition and visual recognition. The audio and visual modalities are complementary to each other and the combination of the two can improve the accuracy in affective user models. The audio features extracted are processed by audition agent. The visual processing agent takes care of the lip and face detection. Finally both these agents assist audio visual fusion agent in fusion of these modalities for automatic speech recognition.

Authors and Affiliations

Prof. S. Qamar Abbas , Nidhi Srivastava

Keywords

Related Articles

PRIORITY BASED UPLINK SCHEDULER FOR IEEE 802.16 NETWORKS

IEEE 802.16, the standard for fixed, portable and mobile Broadband Wireless Access (BWA) systems, is promising to support different classes of traffic with Quality of Service (QoS). The Medium Access Control (MAC) protoc...

Robust Non-Oblivious Dwt-Adaptive Invisible Digital Watermarking

The main idea of this paper is embedding invisible watermark into an image. The advantage of this method over previous works is that it is easy to embed and robust to attacks. Non-oblivious detection technique is used. T...

Fast Method for Two-dimensional Renyi’s Entropy-based Thresholding

Two-dimensional (2-D) thresholding can give a better segmentation than one-dimensional thresholding by taking the spatial correlation of the image. Unfortunately, the computational cost is an obstacle for the implementat...

Output Regulation of the Tigan System

This paper solves the problem of regulating the output of the Tigan system (2008), which is one of the recently discovered three-dimensional chaotic attractors. Tigan system has many interesting complex dynamical behavio...

Smart phone Application using Morse Code and Inaudible Frequency

In this paper, the wireless communication using Morse code and inaudible frequency has been discussed. The application of this project is to transfer the limited information with the help of inaudible frequency and AAC....

Download PDF file
  • EP ID EP119636
  • DOI -
  • Views 129
  • Downloads 0

How To Cite

Prof. S. Qamar Abbas, Nidhi Srivastava (2012). Development of Framework for Automatic Speech Recognition. International Journal on Computer Science and Engineering, 4(5), 707-710. https://europub.co.uk/articles/-A-119636