We present the first prototype of a new optoelectronic instrument for the combined real-time measurement of the tongue contour in the mid-sagittal plane, the contact pattern between the tongue and the palate, and the position of the lips. The instrument consists of a thin acrylic pseudopalate with embedded contact sensors, as for electropalatography, and optical distance sensors to measure tong...

the speech is an easily accessible signal which clearly represents the characteristics of larynx and vocal folds. therefore, application of some proper machine learning algorithms on a small part of a recorded speech signal may help in non-invasive diagnosing of vocal fold diseases. since there are some experimental evidences that suggest the existence of chaotic behavior in speech production s...

Speech transmission index (STI) is an important objective parameter concerning speech intelligibility for sound transmission channels. It is normally measured with specific test signals to ensure high accuracy and good repeatability. Measurement with running speech was previously proposed, but accuracy is compromised and hence applications limited. A new approach that uses artificial neural net...

The issue of whether speech is supported by the same neural substrates as non-speech vocal tract gestures has been contentious. In this fMRI study we tested whether producing non-speech vocal tract gestures in humans shares the same functional neuroanatomy as non-sense speech syllables. Production of non-speech vocal tract gestures, devoid of phonological content but similar to speech in that t...

The limitation in performance of current speech synthesis and speech recognition systems may result from the fact that these systems are not designed with respect to the human neural processes of speech production and perception. A neurocomputational model of speech production and perception is introduced which is organized with respect to human neural processes of speech production and percept...

Recent end-to-end text-to-speech synthesis (TTS) systems have successfully synthesized high-quality speech. However, TTS speech intelligibility degrades in noisy environments because most of these were not designed to handle environments. Several works attempted address this problem by using offline fine-tuning adapt their conditions. Unlike machines, humans never perform fine-tuning. Instead, ...

The sparsity of the speech signals is utilized in the DCT domain. According to the characteristics of the voice which may be separated into voiceless and voiced one, an adaptive measurement speech recovery method is proposed in this paper based on compressed sensing. First, the observed points are distributed based on the voicing energy ratio which the entire speech segment occupies. Then the s...

Traditionally, models of speech comprehension and production do not depend on concepts and processes from the phonological short-term memory (pSTM) literature. Likewise, in working memory research, pSTM is considered to be a language-independent system that facilitates language acquisition rather than speech processing per se. We discuss couplings between pSTM, speech perception and speech prod...

The present study was designed to answer the following questions: (a) Can a child with Down syndrome (DS) increase speech intelligibility using a pacing board through a modified Core Vocabulary Approach (CVA)? (b) What are the effects of the pacing board as an intervention tool on the speech skills of children with DS? (c) What is a valid measurement of improved speech intelligibility? In this ...