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Tiina Murtola

Publications and source records attributed to Tiina Murtola.

2 recordsLinked to original sources

Modal locking between vocal fold and vocal tract oscillations: Simulations in time domain

During voiced speech, the human vocal folds interact with the vocal tract acoustics. The resulting glottal source-resonator coupling has been observed using mathematical and physical models as well as in in vivo phonation. We propose a computational time-domain model of the full speech apparatus that, in particular, contains a feedback mechanism from the vocal tract acoustics to the vocal fold oscillations. It is based on numerical solution of ordinary and partial differential equations defined on vocal tract geometries that have been obtained by Magnetic Resonance Imaging. The model is used to simulate rising and falling pitch glides of [a, i] in the fundamental frequency (f_o) interval [150 Hz, 320 Hz]. The interval contains the first vocal tract resonance f_R1 and the first formant F1 of [i] as well as the fractions of the first resonance f_R1/4 and fR1/3 of [a]. The simulations reveal a locking pattern of the fo-trajectory at f_R1 of [i] in falling and rising glides. The resonance fractions of [a] produce perturbations in the pressure signal at the lips but no locking. All these observations from the model behaviour are consistent and robust within a wide range of feasible model parameter values and under exclusion of secondary model components.

physics.flu-dyn

Measurement of acoustic and anatomic changes in oral and maxillofacial surgery patients

We describe an arrangement for simultaneous recording of speech and geometry of vocal tract in patients undergoing surgery involving this area. Experimental design is considered from an articulatory phonetic point of view. The speech and noise signals are recorded with an acoustic-electrical arrangement. The vocal tract is simultaneously imaged with MRI. A MATLAB-based system controls the timing of speech recording and MR image acquisition. The speech signals are cleaned from acoustic MRI noise by a non-linear signal processing algorithm. Finally, a vowel data set from pilot experiments is compared with validation data from anechoic chamber as well as with Helmholtz resonances of the vocal tract volume.

physics.med-ph