• Corpus ID: 55639308

GUI BASED REAL-TIME HOME AUTOMATION SYSTEM OPERATED BY VOICE COMMAND

@inproceedings{Patil2014GUIBR,
  title={GUI BASED REAL-TIME HOME AUTOMATION SYSTEM OPERATED BY VOICE COMMAND},
  author={Rutuja Patil and Pratik Patil},
  year={2014}
}
This paper presents the design and implementation of a Home Automation system Operated by Voice Command. It uses human-computer interaction to control different devices. In this paper, ASR (Automatic Speech Recognition) has been used. The automatic speech recognition (ASR) system is used to accurately and efficiently convert a speech signal into a text message by using MATLAB. The speech signal is captured by using microphone. This signal is preprocessed at front-end for feature extraction… 

Figures from this paper

References

SHOWING 1-8 OF 8 REFERENCES
ISOLATED SPEECH RECOGNITIONUSING MFCC AND DTW
TLDR
An approach of isolated speech recognition by using the Mel-Scale Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping and to cope with different speaking speeds in speech recognition Dynamic time Warping is used.
Marathi Isolated Word Recognition System using MFCC and DTW Features
TLDR
A Marathi database and isolated Word recognition system based on Mel-frequency cepstral coefficient (MFCC), and Distance Time Warping (DTW) as features are presented and the comparative recognition accuracy of DTW and MFCC is presented.
Speech Recognition by Machine, A Review
TLDR
The objective of this review paper is to summarize and compare some of the well known methods used in various stages of speech recognition system and identify research topic and applications which are at the forefront of this exciting and challenging field.
Reviewing Human-Machine Interaction through Speech Recognition approaches and Analyzing an approach for Designing an Efficient System
TLDR
The literature and the technological aspects of human-machine interaction through various speech recognition approaches are reviewed and an approach for designing an efficient system for speech recognition is analyzed.
Review of various approaches towards speech recognition
  • A. Jadhav, R. V. Pawar
  • Computer Science
    2012 International Conference on Biomedical Engineering (ICoBE)
  • 2012
TLDR
This paper emphasizes on existing techniques in each of these stages of speech recognition system and elaborates on their comparison.
Speech recognition by machine: A review
  • D. Reddy
  • Computer Science
    Proceedings of the IEEE
  • 1976
This paper provides a review of recent developments in speech recognition research. The concept of sources of knowledge is introduced and the use of knowledge to generate and verify hypotheses is
Speech Processing for Marathi Numeral Recognition using MFCC and DTW Features
TLDR
A Marathi database and isolated numeral recognition system based on Mel-Frequency Cepstral Coefficient (MFCC) used for Feature Extraction and Distance Time Warping (DTW) for Feature Matching or to compare the test patterns is presented.
Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques
TLDR
This paper presents the viability of MFCC to extract features and DTW to compare the test patterns and explains why the alignment is important to produce the better performance.