Speech Recognition using Cross Correlation Algorithm Intended for Noise Reduction

Abstract

Biometrics is presently a buzzword in the domain of information security as it provides high degree of accuracy in identifying an individual. Speech recognition is the ability of a machine or program to identify words and phrases in spoken language and convert them to a machine-readable format. Rudimentary speech recognition software has a limited vocabulary of words and phrases, and it may only identify these if they are spoken very clearly. The research work is intended to build a GUI environment which would provide provisions to record the speech and would assist in multiplying the database. The research work is primarily focused to implement a system capable of recognizing a user’s speech and creating audio files that can be added up to create a dynamic template or database. The research work emphasizes on directly recording the spoken words avoiding the problems with use of microphone. On appropriate recording and removal of the noise, the best matched audio file from the template is recognized when an input is provided externally on the basis of graphs created by considering correlation.

Speech Enhancement using Fully Convolutional UNET and Gated Convolutional Neural Network

“…This paper [18] discussed the classical approaches for noise reduction by using filters. It also discusses stationary and non-stationary noise and its subtypes.…”

The Enhanced Speech Recognition in Automated Home Lighting System using Adaptive Time-Frequency Domain Noise Removal Algorithm Filter

“…For a particular population, in particular elderly and disabled people, this voice control offers a significant advantage. People are able to turn the light on and off easily using voice or speech commands [4]. Normally, every room in the house object has its acoustics which essentially distorts the spoken command.…”

“…Normally, every room in the house object has its acoustics which essentially distorts the spoken command. There can be different type of noise may occur in different room, which substantially reduce the success rate of recognition of spoken commands [3] [4].…”

“…In the speech recognition process, background audio noise causes problems in getting actual commands in audio signal transmission. An audio noise reduction system is used to skip and remove the background ambient noise from the sound audio signals [4]. The voice or speech signal frequency range is 300-3400 Hz.…”