Sentence examples for vocal variability from inspiring English sources
This strong correlation between singing and FoxP2 down-regulation during the developmental time period when song is more variable, and the increased vocal variability of FoxP2 knock-down birds [35] motivated our hypothesis that FoxP2 acts as a 'plasticity gate'.
In the songbird, dopaminergic inputs to Area X have been hypothesized to carry signals related to motivational aspects of singing and to regulate vocal variability, in particular while switching between less variable song directed to a female bird to more variable song produced in social isolation (Yanagihara and Hessler, 2006; Hara et al., 2007; Leblois et al., 2010).
Besides adaptation, dysarthric speakers also improved the recognition likelihood of their words by training the consistency of their pronunciations [5]-[7]; thuserssers can adapt their vocalizations in order to alleviate the ASR shortcoming to cope with severe vocal variability.
Morning increases in vocal variability decline with maturation, disappearing in adulthood [46].
This vocal variability resembles those observed during the ontogeny of the crow in quails.
Here, we asked whether vocal practice under behaviorally-driven conditions, would increase vocal variability, at two ages during sensorimotor learning.
Regarding mechanism-testing: the adult songbird's capacity to re-engage vocal plasticity and variability mechanisms through deafening or other perturbations of auditory feedback could more directly test the idea that the relative strength of HVC synapses is the major regulator of LMAN's ability to influence song variability.
Vocal motor variability and exploration on multiple time scales likely facilitates the refinement of vocal output during development, and the maintenance of previously learned, ultra-precise, motor patterns throughout life.
We controlled for vocal frequency variability, pitch accuracy, rhythmicity, syllable duration, phonetic complexity and other relevant factors, such as learning effects or the acoustic setting.
However, the details of how learning a song leads to reduced variability in vocal performance are poorly understood.
Despite such promises, speech recognition systems exhibit higher error rates for children due to variabilities in vocal tract length, formant frequency, pronunciation, and grammar.
