The topic of this paper is formant frequency prediction using multiple linear regression. This technique provides robust formant frequency estimates but with limited precision. We apply this approach to predict formant frequencies of one male speaker comparing three different spectral representations. Mel scaled filterbanks are shown to perform slightly better than linear prediction based cepst...

This paper proposes a method of predicting the formant frequencies of a frame of speech from its mel-frequency cepstral coefficient (MFCC) representation. Prediction is achieved through the creation of a Gaussian mixture model (GMM) which models the joint density of formant frequencies and MFCCs. Using this GMM and an input MFCC vector, a maximum a posteriori (MAP) prediction of the formant fre...

This study examined how differently native speakers of Japanese discriminated between the American English vowels /e/ and /ae/ in /CVp/ syllables with 20 different initial consonants, and how the differing discrimination was related to the formant changes throughout the vowels in comparison with the Japanese vowels /e/ and /a/. A perceptual test and formant analyses of the English and Japanese ...

Single-unit responses were studied in the ventral cochlear nucleus (VCN) of cats as formant and trough features of the vowel /epsilon/ were shifted in the frequency domain to each unit's best frequency (BF; the frequency of greatest sensitivity). Discharge rates sampled with this spectrum manipulation procedure (SMP) were used to estimate vowel representations provided by populations of VCN neu...

introduction: on the importance of the formant frequency, it is enough to say that the first three formants of a vowel and their internal relationships are the major components in detection of vowel type by listener. moreover, the quality of a vowel depends on its factorial frequencies. the main application of measuring factorial frequency is for description of vowel errors because recognizing ...

This paper explores the estimation and mapping of probability models of formant parameter vectors for voice conversion. The formant parameter vectors consist of the frequency, bandwidth and intensity of resonance at formants. Formant parameters are derived from the coefficients of a linear prediction (LP) model of speech. The formant distributions are modelled with phonemedependent two-dimensio...

PURPOSE To evaluate potential contributions of broadband spectral integration in the perception of static vowels. Specifically, can the auditory system infer formant frequency information from changes in the intensity weighting across harmonics when the formant itself is missing? Does this type of integration produce the same results in the lower (first formant [F1]) and higher (second formant ...

In natural speech, there is a moderate correlation between the fundamental frequency and formant frequencies across talkers. The present study used a high-quality vocoder to manipulate these properties and determine their contribution to perceived naturalness and voice gender. The stimuli were re-synthesized sentences spoken by two adult males and two adult females. Scale factors were chosen fo...

Due to a constantly increasing amount of speech data that is stored in different types databases, voice privacy has become major concern. To respond such concern, researchers have developed various methods for speaker de-identification. The state-of-the-art solutions utilize deep learning which can be effective but might unavailable or impractical apply for, example, under-resourced languages. ...