Recognition of vowels in continuous speech by using formants

Abstract

Speech consists of acoustic pressure waves created by the voluntary movements of anatomical structures in the human speech production system. These waveforms are broadly classified into voiced and unvoiced speech. Voiced sounds (vowels for example), produce quasi-periodic pulses of air which are acoustically filtered as they propagate through the vocal tract. The main distinction between vowels and consonants is that vowels resonate in the throat. Formants are exactly the resonant frequencies of a vocal tract when pronouncing a vowel. In this paper we attempt to carry out Vowel Recognition through Formant Analysis in Serbian language, wherein we detect which of the five Serbian vowels is spoken by the Speaker. Here we describe a standard approach for classification of vowels in continuous speech based on three formants: F1, F2 and F3. We have investigated the correlations between formants in each vowel and developed the algorithm to reduce the overlap of different vowels in F1-F2 and F2-F3 planes.

Using bands of frequencies for vowel recognition for Polish language

“…Namely, there is not exact number of formants. Good results we obtain using the first three formants that are best seen (Prica and Ilić 2010). Quite well, we can also observe formants F4 and sometimes F5.…”

Analysis of Speech Signal Data of Mising Vowels using Logistic Regression and K-Means Clustering

“…Investigation of soil properties like Cation Exchange Capacity (CEC) plays important roles in study of environmental research as the spatial and temporal variability of this property have been led to development of indirect methods in soil data analysis [5]. Prica and Sinisa[2010] has done experimental study for recognizing Vowels in continuous speech by using parameters like formant frequency in speech signal data [6]. Ganesan et al [2010] shows the Application of statistical and machine learning techniques in Diagnosing Cancer Disease using Demographic Data [7].…”

Auditory Scale Analysis and Evaluation of Phonemes in MISING Language

“…With proper speech analysis the key properties of the real speech can be captured and thereafter can be used to generate new speech signals. The nature of the speech signal and its acoustic properties can be studied by the analysis and presentation of speech signal in frequency domain [1]. In order to maintain the naturalness of oral communication between human and machines all aspect of speech must be involved [2].…”