scholarly journals Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech

2020 ◽  
Vol 14 ◽  
Author(s):  
Bernd J. Kröger ◽  
Catharina Marie Stille ◽  
Peter Blouw ◽  
Trevor Bekolay ◽  
Terrence C. Stewart
Keyword(s):  
Feedback Control ◽  
Speech Production ◽  
Control Mechanisms ◽  
Disordered Speech

Articulation and Stress/Juncture Production Under Oral Anesthetization and Masking

1971 ◽  
Vol 14 (2) ◽  
pp. 271-282 ◽  
Author(s):  
Sylvia A. Gammon ◽  
Philip J. Smith ◽  
Raymond G. Daniloff ◽  
Chin W. Kim
Keyword(s):  
Feedback Control ◽  
Oral Cavity ◽  
White Noise ◽  
Speech Production ◽  
Local Anesthesia ◽  
The Other ◽  
Control Mechanisms ◽  
Combined Stress ◽  
Noise Masking ◽  
High Degree

Eight subjects, half of them naive and the other half aware of the purpose of the experiment, spoke 30 pairs of sentences involving the production of intricate stress/juncture patterns along with a passage containing all major consonant phonemes in English in various intraword positions. All subjects spoke all materials under: (1) normal conditions, (2) 110 dB re: 0.0002 ubar white noise masking, (3) extensive local anesthesia of the oral cavity, and (4) masking and anesthesia combined. Stress and juncture patterns were correctly produced despite all feedback disruption, and there was no difference between naive and aware subjects. Noise masking produced a decline in speech quality and a disruption of normal rhythm, both of which were even more seriously affected by anesthesia and anesthesia plus masking. There were no significant vowel misarticulations under any condition, but there was nearly a 20% rate of consonant misartiqulation under anesthesia and anesthesia and noise. Mis-articulation was most severe for fricatives and affricates in the labial and alveolar regions, presumably because these productions demand a high degree of precision of articulate shape and location and hence, intact feedback. Results are discussed in terms of feedback-control mechanisms for speech production.

“I Can See What You’re Saying”: Clinical Utility of Spectral Moment Analysis

2011 ◽  
Vol 21 (2) ◽  
pp. 44-54
Author(s):  
Kerry Callahan Mandulak
Keyword(s):  
Speech Production ◽  
Speech Signal ◽  
Clinical Utility ◽  
Acoustic Analysis ◽  
Moment Analysis ◽  
Analysis Tool ◽  
Spectral Moment ◽  
Clinical Measure ◽  
Perceptual Analysis ◽  
Disordered Speech

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.

A NEW APPROACH FOR INVESTIGATING HYPOTHALAMO-PITUITARY-GONADAL AND ADRENAL FEEDBACK CONTROL MECHANISMS: ACTIVE IMMUNIZATION WITH STEROIDS

1974 ◽  
Vol 76 (3) ◽  
pp. 556-569 ◽  
Author(s):  
E. Nieschlag ◽  
K. H. Usadel ◽  
H. K. Kley ◽  
U. Schwedes ◽  
K. Schöffling ◽  
...  
Keyword(s):  
Feedback Control ◽  
Leydig Cells ◽  
Positive Response ◽  
Active Immunization ◽  
Biologically Active ◽  
Control Group ◽  
Control Mechanisms ◽  
New Approach ◽  
Biological Neutralization ◽  
Group Serum

ABSTRACT A new method for the investigation of hypothalamo-pituitary-gonadal and adrenal feedback control mechanisms based on the biological neutralization of gonadal and adrenal steroids by active immunization is proposed. The regulatory influence of a given steroid in the feedback control is proved when reduction of the free, biologically active fraction of this steroid caused by antibody binding induces a positive response of the pituitary, thus effecting gonadal or adrenal hypertrophy and hyperfunction. The advantages and limitations of the new model are demonstrated by the effects of active immunization of rabbits with cortisol (F), aldosterone (Aldo), dehydroepiandrosterone (DHA), androstenedione (Δ4-A), testosterone (T), 5α-dihydrotestosterone (5α-DHT), 5β-DHT and oestradiol (E2). In the immunized animals and in a control group serum concentrations of total corticosteroids (TC), DHA, T, Δ4-A, E1, E2, LH and FSH, the percentage of binding of steroids in serum and the specificity of the antisera are determined. The testes are evaluated by histometry and the nuclear volume of the adrenocortical and Leydig cells is measured.

scholarly journals Ca2+ Signaling in the Inner Ear

Physiology ◽  
2007 ◽  
Vol 22 (2) ◽  
pp. 131-144 ◽  
Author(s):  
Fabio Mammano ◽  
Mario Bortolozzi ◽  
Saida Ortolano ◽  
Fabio Anselmi
Keyword(s):  
Feedback Control ◽  
Inner Ear ◽  
Control Mechanisms ◽  
Sensory Receptors ◽  
Key Players ◽  
Mechanical Disturbances

The inner ear contains delicate sensory receptors that have adapted to detect the minutest mechanical disturbances. Ca2+ ions are implicated in all steps of the transduction process, as well as in its regulation by an impressive ensemble of finely tuned feedback control mechanisms. Recent studies have unveiled some of the key players, but things do not sound quite right yet.

A cross-language study on feedforward and feedback control of voice intensity in Chinese–English bilinguals

2020 ◽  
Vol 41 (4) ◽  
pp. 771-795
Author(s):  
Xiao Cai ◽  
Yulong Yin ◽  
Qingfang Zhang
Keyword(s):  
Second Language ◽  
Feedback Control ◽  
Language Learning ◽  
Speech Production ◽  
Feedforward Control ◽  
Feedback Systems ◽  
Masking Noise ◽  
L1 And L2 ◽  
Relative Weighting ◽  
L2 Speech Production

AbstractSpeech production requires the combined efforts of feedforward and feedback control, but it remains unclear whether the relative weighting of feedforward and feedback control is organized differently between the first language (L1) and the second language (L2). In the present study, a group of Chinese–English bilinguals named pictures in their L1 and L2, while being exposed to multitalker noise. Experiment 1 compared feedforward control between L1 and L2 speech production by examining intensity increases in response to a masking noise (90 dB SPL). Experiment 2 compared feedback control between L1 and L2 speech production by examining intensity increases in response to a weak (30 dB SPL) or strong noise (60 dB SPL). We also examined a potential relationship between L2 fluency and the relative weighting of feedforward and feedback systems. The results indicated that L2 speech production relies less on feedforward control relative to L1, exhibiting attenuated Lombard effects to the masking noise. In contrast, L2 speech production relies more on feedback control than L1, producing larger Lombard effects to the weak and strong noise. The relative weighting of feedforward and feedback control is dynamically changed as second language learning progresses.

Observing the link between speech production and speech perception from disordered speech

2000 ◽  
Vol 108 (5) ◽  
pp. 2508-2508
Author(s):  
Emily Q. Wang ◽  
Yi Xu ◽  
Katie Kompoliti ◽  
Christopher G. Goetz
Keyword(s):  
Speech Perception ◽  
Speech Production ◽  
Disordered Speech

scholarly journals The role of feedback control mechanisms on the establishment of oscillatory regimes in the Ras/cAMP/PKA pathway in S. cerevisiae

2012 ◽  
Vol 2012 (1) ◽  
Author(s):  
Daniela Besozzi ◽  
Paolo Cazzaniga ◽  
Dario Pescini ◽  
Giancarlo Mauri ◽  
Sonia Colombo ◽  
...  
Keyword(s):  
Feedback Control ◽  
Control Mechanisms ◽  
Pka Pathway

scholarly journals Reality Monitoring and Feedback Control of Speech Production Are Related Through Self-Agency

2018 ◽  
Vol 12 ◽  
Author(s):  
Karuna Subramaniam ◽  
Hardik Kothare ◽  
Danielle Mizuiri ◽  
Srikantan S. Nagarajan ◽  
John F. Houde
Keyword(s):  
Feedback Control ◽  
Speech Production ◽  
Reality Monitoring
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