background and aim: age implantation is one of the effective factors on speech production outcomes in cochlear implanted (ci) children. the purpose of this study is to determine the role of age implantation on formant frequencies and production of three persian vowels including /a/, /u/, /i/ in ci children. methods: sixty nine congenitally deaf children who received ci were divided into three g...

This work proposes a novel method of predicting formant frequencies from a stream of mel-frequency cepstral coefficients (MFCC) feature vectors. Prediction is based on modelling the joint density of MFCCs and formant frequencies using a Gaussian mixture model (GMM). Using this GMM and an input MFCC vector, two maximum a posteriori (MAP) prediction methods are developed. The first method predict...

It is commonly assumed that, in the cochlea and the brainstem, the auditory system processes speech sounds without differentiating them from any other sounds. At some stage, however, it must treat speech and non-speech sounds differently. In broad terms, the purpose of this paper is to consider where this speech specific processing begins in the auditory pathway. Specifically, the paper is conc...

This paper describes how formant frequencies of voiced and unvoiced speech can be predicted from mel-frequency cepstral coefficients (MFCC) vectors using maximum a posteriori (MAP) estimation within a hidden Markov model (HMM) framework. Gaussian mixture models (GMMs) are used to model the local joint density of MFCCs and formant frequencies. More localised prediction is achieved by modelling s...

All-pole modeling is a widely used formant estimation method, but its performance is known to deteriorate for high-pitched voices. In order to address this problem, several all-pole modeling methods robust to fundamental frequency have been proposed. This study compares five such previously known methods and introduces a technique, Weighted Linear Prediction with Attenuated Main Excitation (WLP...

Identification and selection of speaker pairs that are difficult to distinguish offers the possibility of better focusing speaker recognition research, while also reducing the amount of data needed to estimate system performance with confidence. This work aims to predict which speaker pairs will be difficult for automatic speaker recognition systems to distinguish, by using features that charac...

This paper presents a class of methods for automatically extracting formant parameters from speech. The methods rely on an iterative optimization algorithm. It was found that formant parameter data derived with these methods was less prone to discontinuity errors than conventional methods. Also, experiments were conducted that demonstrated that these methods are capable of better accuracy in fo...

Analysis of speech for recognition of stress is important for identification of emotional state of person. This can be done using ‘Linear Techniques’, which has different parameters like pitch, vocal tract spectrum, formant frequencies, Duration, MFCC etc. which are used for extraction of features from speech. TEO-CB-Auto-Env is the method which is non-linear method of features extraction. Anal...

Acoustical analysis of speech and perceptual studies indicate that the dominant acoustic correlates of vowel perception are the frequencies of the first three formants. However, most vowels are not completely steady-state (even in isolation) and formant frequencies change with variation in the surrounding consonantal context, prosodic influences, speaking rate, and vocal tract length of the tal...