منابع مشابه
Multi-pulse LPC modeling of articulatory movements
The frame-by-frame variation of tongue pro®les derived from X-ray ®lm data is described in terms of the temporal patterns of four articulatory parameters. The temporal variation of each parameter, i.e., movement, is assumed to be the output of a time-invariant auto-regressive ®lter. Each ®lter is excited by a sequence of pulses, representing articulatory commands. The ®lter coecients, and the ...
متن کاملArticulatory movements modulate auditory responses to speech
Production of actions is highly dependent on concurrent sensory information. In speech production, for example, movement of the articulators is guided by both auditory and somatosensory input. It has been demonstrated in non-human primates that self-produced vocalizations and those of others are differentially processed in the temporal cortex. The aim of the current study was to investigate how...
متن کاملArticulatory organization of mandibular, labial, and velar movements during speech.
It has been shown that articulator movements during speech are adjusted along a number of spatiotemporal dimensions. For example, variations in the extent of lip, jaw, or tongue motion are associated with proportional changes in the respective articulators' peak velocity. Modifications in the timing of lip and jaw actions are apparently constrained, exhibiting relative timing covariation. Sylla...
متن کاملThe temporal control of repetitive articulatory movements in Parkinson's disease.
Recent clinical data indicate that internal cueing mechanisms required for the triggering of movement sequences are impaired in Parkinson's disease (PD). Nevertheless, most PD subjects produce maximal syllable repetition rates similar to those observed in healthy control individuals during oral diadochokinesis tasks. There is some evidence that tremor oscillations may pace repetitive movements ...
متن کاملAn Analysis of HMM-based prediction of articulatory movements
This paper presents an investigation into predicting the movement of a speaker’s mouth from text input using hidden Markov models (HMM). A corpus of human articulatory movements, recorded by electromagnetic articulography (EMA), is used to train HMMs. To predict articulatory movements for input text, a suitable model sequence is selected and a maximum-likelihood parameter generation (MLPG) algo...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1976
ISSN: 0001-4966
DOI: 10.1121/1.2003469