Online ISSN: 2515-8260

Keywords : Speech Recognition

Identification of Speech Signal in Moving Objects using Artificial Neural Network System


European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 418-424

The speech signal moving objects regarding the speaker’s personality. A speaker recognition field is about retrieving the name of the individual voicing the speech. The effectiveness of accurately identifying a speaker is focused solely on vocal features, as voice contact with machines is becoming more prevalent in tasks like telephone, banking transactions, and the transformation of data from speech databases. This review illustrates the detection of text-dependent speakers, which identifies a single speaker from a known population. The program asks the user to utter voice. Program recognizes the person through evaluating the voice utterance codebook with the voice utterance codebook held in the database and records that may have provided the voice speech. Furthermore, the features are removed; the speech signal is registered for 6 speakers. Extraction of the function is achieved using LPC coefficients, AMDF calculation and DFT. By adding certain features as input data, the neural network is equipped. For further comparison the characteristics are stored in models. The characteristics that need to be defined for the speakers were obtained and analyzed using Back Propagation Algorithm to a template image. Now this framework trained correlates to the outcome; the source is the characteristics retrieved from the speaker to be described. The weight adjustment is done by the system, and the similarity score is discovered to recognize the speaker. The number of iterations needed for achieving the goal determines the efficiency of the network.

Hands-Fr ee Natural Language Processing System in Wireless Multimedia Personal Networks

Dr Pankaj Kumar; Dr.G. Sivakumar; M P Rajakumar; Dr. S. Selvakanmani; Mrs Shilpi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 3264-3269

The aim of this thesis work is to develop an automatic digital voice recognition program for English
and convert to natural languages in wireless multimedia personal networks. The main purpose of this thesis
work is to develop and implement Speaker Free Speech Recognition for sending Hands-Free and giving the
user a Hands-Free application using GSM or Bluetooth technologies and system applications. Voice or speech
recognition is the ability of a machine or program to receive and interpret commands or to understand and
execute human speech commands. It allows us to communicate information effectively. Although online text
and video resources greatly enhance the ability to communicate with one another through computer
technology, speech is the first tool of communication used by humans for communication. This brief summary
aims to set the context for subsequent conversations in one of the human language technologies: speech
recognition (stated). Human languages are very different from machine languages. Speech recognition can also
serve as a form of input. This can be very useful when one’s hands or eyes are busy.