A Novel Approach To Enhance The Efficiency Of Real-Time Speaker Identification System

2018 ◽  
Author(s):  
Subhashree Priyadarshini ◽  
Susanta Kumar Sarangi ◽  
K. C Bhuyan
Keyword(s):  
Real Time ◽  
Speaker Identification ◽  
Identification System ◽  
Novel Approach

scholarly journals A Novel Approach to Increase the Efficiency of a Multi-lingual Real-time Speaker Identification System

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Real Time ◽  
Speech Enhancement ◽  
Speaker Recognition ◽  
Speaker Identification ◽  
Cost Effective ◽  
Recognition System ◽  
Identification System ◽  
Novel Approach ◽  
Activity Method ◽  
Voice Activity

Nowadays, the real-time speaker recognition system is very popular due to its cost-effective nature. However, it is a very challenging one to produce a more efficient speaker identification system. In our work, we work on a multi-lingual real-time speaker identification system. We work in a novel way to enhance the efficiency of the said system. We take some real speech signals and use different speech enhancement methods and our proposed voice activity method (VAD) to enhance the efficiency of said system. By doing so, we increase the accuracy of the said system relatively by 2% as compared to existing methods.

scholarly journals A Novel Approach to Vehicle Number Identification using Raspberry pi 3

2019 ◽  
pp. 64-67
Author(s):  
N. Varshini ◽  
Sumedha Kasarla ◽  
Shaik Subhani
Keyword(s):  
Real Time ◽  
Traffic Signals ◽  
Raspberry Pi ◽  
Identification System ◽  
License Plate ◽  
Text Format ◽  
Novel Approach ◽  
Image Conversion ◽  
Image Capturing ◽  
Conversion Technology

Vehicle Number Identification using Raspberry pi 3 is an image conversion technology which captures the license plate of a vehicle. The main aim is to make an effective and accurate license number plate identification system. This system is carried out and performed in the areas where traffic signals are present and the camera is placed on the signal which is connected to raspberry pi and it sends signals to the server and it can also be used in apartments or residencies for capturing all the vehicle numbers entering the building. This system at first detects the vehicle license plate and then captures it .It then converts the image into the text. The text of the license plate is displayed on the screen using the image conversion. Open CV and OCR are the two software's used for image capturing and conversion of that into text format respectively. The resulting data is then displayed on the screen and saved into a folder. The whole system is developed on Raspberry Pi desktop and its performance is used in real-time. It is observed from this experiment that the system mainly detects and captures the vehicle license plate, converts the image into text and displays it on the screen successfully.

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