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A Novel Approach on LPCC and Formant Frequency Based Speaker Recoginization with Different User


Aabha Sahu , Rungta College Of Engineering & Technology, Bhilai ; Lakhwinder Kaur, Rungta College Of Engineering & Technology, Bhilai


Formant Frequency, vocal cord analysis, LPC, voice recognition


the human voice is composed of sound created by a human being using their vocal cord for laughing, talking, singing, crying, and shouting. It is mainly a piece of human sound creation in which the vocal cord is the essential sound source, which plays an indispensable role in the conversation. The applications of speech or voice processing technology play a crucial role in human-computer interaction. The system enhances gender identification, age group classification, age, and emotion recognition performance. The research work uses new and efficient ways for feature extraction of speech or voice and classification of the standard method on the various audio datasets. Previous formant extraction methods can mostly be classified into spectral peak picking, root extraction, and analysis by synthesis. The spectral peak picking methods and their variants have been widely used for a long time because of low computational complexity, but they often severely suffer from the peak merger problems, where two adjoining formants are identified into a single one. In this paper, we propose a new formant extraction algorithm that the short term spectral. In the proposed algorithm, the formant candidates are found by using the short term spectral method. It requires a data segment with a suitable length such that the harmonics can be resolved, and the data within that length should be approximately stationary. Windowing can be done to extract the required length of the data segment.

Other Details

Paper ID: IJSRDV7I100172
Published in: Volume : 7, Issue : 10
Publication Date: 01/01/2020
Page(s): 265-268

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