Research Paper | Electronics & Communication Engineering | India | Volume 5 Issue 1, January 2016
Gender Recognition in Labview using a Pitch Analysis VI
Aronee Dasgupta  | Astha Nachrani | Sahil Chakraborty | Yogitha S R
Abstract: The veracity and acceptance of speech processing has come a long way in the last few years. Gender recognition which is one of the important applications of speech processing is found useful in biometric security and automated telephonic communications. In this paper we pre-process the input signal, segment it into frames, segregate into components that allow pitch and format detection, and classify the gender based on average pitch and format value of the system.
Keywords: Gender Recognition, Feature Extraction, Linear Predictive Analysis, Mel Frequency Cepstral Coefficients, Vocal Tract Filter, LabVIEW
Edition: Volume 5 Issue 1, January 2016,
Pages: 1878 - 1880
Similar Articles with Keyword 'Feature Extraction'
Downloads: 41 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2
Masters Thesis, Electronics & Communication Engineering, India, Volume 11 Issue 1, January 2022Pages: 51 - 62
An Automated Detection and Segmentation of Tumor in Brain MRI using Machine Learning Technique
Downloads: 2 | Weekly Hits: ⮙2 | Monthly Hits: ⮙2
Masters Thesis, Electronics & Communication Engineering, India, Volume 11 Issue 7, July 2022Pages: 575 - 578
An FPGA-Based Implementation of Emotion Recognition Using EEG Signals
Sonia Stanley Louis | Dr. Mahantesh K.