A physiological articulatory model has been constructed using a fast computation method, which replicates midsagittal regions of the speech organs to simulate articulatory movements during speech. This study aims to improve the accuracy of modeling by using the displacement-based finite-element method and to develop a new approach for controlling the model. A "semicontinuum" tongue tissue model...

In this thesis we present a novel approach to speech recognition that incorporates knowledge of the speech production process. The major contribution is the development of a speech recognition system that is motivated by the physical generative process of speech, rather than the purely statistical approach that has been the basis for virtually all current recognizers. We follow an analysis-by-s...

Studies have shown that articulatory information helps model speech variability and, consequently, improves speech recognition performance. But learning speaker-invariant articulatory models is challenging, as speaker-specific signatures in both the articulatory and acoustic space increase complexity of speech-to-articulatory mapping, which is already an ill-posed problem due to its inherent no...

Optimality-Theoretic analyses of loanword phonology account for the phonological adaptations seen in loanwords using one of two mechanisms: markedness constraints in the phonology of L1 speakers, and perceptual biases affecting the input. However, while these analyses may be able to account for the synchronic behavior of a single speaker in borrowing a particular loanword, they cannot easily ac...

Articulatory information has been shown to be effective in improving the performance of hidden Markov model (HMM)based text-to-speech (TTS) synthesis. Recently, deep learningbased TTS has outperformed HMM-based approaches. However, articulatory information has rarely been integrated in deep learning-based TTS. This paper investigated the effectiveness of integrating articulatory movement data t...

This thesis addresses the problem of quality degradation in speech produced by parameter-based speech synthesis, within the framework of an articulatory-acoustic forward mapping. I first investigate current problems in speech parameterisation, and point out the fact that conventional parameterisation inaccurately extracts the vocal tract response due to interference from the harmonic structure ...

A combination of parallel factor analysis (PARAFAC) and principal component analysis (PCA) was used to parameterize the articulatory pattern of tongue, jaw and lip movements in 8 English vowels produced by 7 subjects with amyotrophic lateral sclerosis (ALS). A two-factor PARAFAC model derived an overall articulatory pattern represented by two basic modes dominated by tongue raising and advancem...

PURPOSE To quantify the articulatory distinctiveness of 8 major English vowels and 11 English consonants based on tongue and lip movement time series data using a data-driven approach. METHOD Tongue and lip movements of 8 vowels and 11 consonants from 10 healthy talkers were collected. First, classification accuracies were obtained using 2 complementary approaches: (a) Procrustes analysis and...