Xiaochuan Niu

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Dysarthria is a speech motor disorder usually resulting in a substantive decrease in speech intelligibility by the general population. In this study, we have significantly improved the intelligibility of dysarthric vowels of one speaker from 48% to 54%, as evaluated by a vowel identification task using 64 CVC stimuli judged by 24 listeners. Improvement was(More)
Dysarthria is a motor speech disorder that is often associated with irregular phonation (e.g. vocal fry) and amplitude, incoordination of articulators, and restricted movement of articulators, among other problems. The present study is part of a project on voice transformation systems for dysarthria, with the goal of producing intelligibility-enhanced(More)
This paper focuses on generation of expressive speech, specifically speech displaying vocal affect. Generating speech with vocal affect is important for diagnosis, research, and remediation for children with autism and developmental language disorders. However, because vocal affect involves many acoustic factors working together in complex ways, it is(More)
Linguistic control factors such as word stress and phrasefinality affect not only duration and pitch, but also spectral structure and spectral dynamics. We propose methods for predicting and synthesizing prosodic effects on spectral balance: (i) A new multi-dimensional measure of spectral balance, in which energy is measured in five ”formant frequency(More)
Accurate estimation of velar movements is useful for automatic speech recognition, speech enhancement, and diagnosis of certain speech disorders. This paper reports on initial results of a project on estimation of velar movements, for two-microphone setups where the microphones are differentially positioned to pick up nasal and oral speech output. Toward(More)
In natural speech, prosodic factors such as accent, stress, phrasal position and speaking style play important roles in controlling several acoustic features, including segmental duration, pitch, and spectral balance, i.e., the amplitude pattern across different frequency ranges of the power spectrum. To synthesize speech that sounds natural, these effects(More)
In this paper, a method of pitch contour modelling based on the hidden Markov model (HMM) states of an acoustic unit is presented. A pair of vectors is computed from the alignment of the speech data with the acoustic unit’s HMM states. The pitch contour feature of the acoustic unit is represented by the vector pair so that the variants of the acoustic(More)
This paper reviews present compact model development and outlines the main features of the PUNSIM, an advanced surface potential-based MOSFET model. The PUNSIM is developed to overcome mainly drawbacks of the traditional surface potential based models and aiming at fulfilling the features: The first-principle derivation of the complete MOSFET surface(More)