Vowel formant frequencies for oneyear-old children

Vojnović, Milan; Bogavac, Ivana; Dobrijevic, Ljiljana

doi:10.1109/telfor.2013.6716346

Cited by 2 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Measurements of formant frequencies on children's real speech recordings should show which VT model is more accurate, i.e., which corresponds more to a realistic situation. The preliminary results of formant frequencies estimation of voiced phonemes, spoken by a one-year-old child, show good agreement with the simulated maximal vowel spaces [9]. The simulations of maximal vowel spaces are based on the one-year-old child's VT configurations shown in Fig.…”

Section: Discussionsupporting

confidence: 62%

Acoustic vocal tract model of one-year-old children

Vojnović¹,

Bogavac²,

Dobrijevic³

2014

Telfor

Self Cite

View full text Add to dashboard Cite

The physical shape of vocal tract and its formant (resonant) frequencies are directly related. The study of this functional connectivity is essential in speech therapy practice with children. Most of the perceived children's speech anomalies can be explained on a physical level: malfunctioning movement of articulation organs. The current problem is that there is no enough data on the anatomical shape of children's vocal tract to create its acoustic model. Classical techniques for vocal tract shape imaging (X-ray, magnetic resonance, etc.) are not appropriate for children. One possibility is to start from the shape of the adult vocal tract and correct it based on anatomical, morphological and articulatory differences between children and adults. This paper presents a method for vocal tract shape estimation of the child aged one year. The initial shapes of the vocal tract refer to the Russian vowels spoken by an adult male. All the relevant anatomical and articulation parameters, that influence the formant frequencies, are analyzed. Finally, the hypothetical configurations of the children's vocal tract, for the five vowels, are presented.

show abstract

Section: Discussionsupporting

confidence: 62%

Acoustic vocal tract model of one-year-old children

Vojnović¹,

Bogavac²,

Dobrijevic³

2014

Telfor

Self Cite

View full text Add to dashboard Cite

show abstract

“…With the continuous development of computer deep learning technology, the task of speech recognition has been greatly improved. The evaluation model based on in-depth learning of spoken English has been applied in online oral English education [12][13][14]. The research first proposes a text priori-based oral evaluation model, whose structure is shown in Fig.…”

Section: A the Construction Of Transformer Oral Evaluation Model Base...mentioning

confidence: 99%

A Study on the Evaluation Model of In-depth Learning for Oral English Learning in Online Education

Ge¹

2023

IJACSA

View full text Add to dashboard Cite

The trend of globalization in the world is becoming increasingly frequent, and people from different regions are communicating more closely. Therefore, the demand for a second language is constantly expanding, accelerating the development of the field of English oral evaluation and also accelerating the development of online education. The study proposes a text priori based oral evaluation model, which is based on the Transformer model and uses target phonemes as input to the Decoder. The model successfully predicts the relationship between actual pronunciation and error labels. At the same time, a self-supervised oral evaluation model with accent is constructed, which simulates the training process of misreading data by calculating semantic distance. The experimental results show that when the training set ratio reaches its maximum in the Speed Ocean dataset and the L2 Arctic dataset, the F1 values of the proposed method are 0.612 and 0.596, respectively; the length of the target phoneme has a smaller impact on this model compared to other models. Experiments have shown that the proposed deep learning method can alleviate deployment difficulties, directly optimize the effectiveness of oral evaluation, provide more accurate feedback, and also provide users with a better learning experience. This has practical significance for the development of the field of oral evaluation.

show abstract

Vowel formant frequencies for oneyear-old children

Cited by 2 publications

References 2 publications

Acoustic vocal tract model of one-year-old children

Acoustic vocal tract model of one-year-old children

A Study on the Evaluation Model of In-depth Learning for Oral English Learning in Online Education

Contact Info

Product

Resources

About