The discriminative power of the proposed LSFM feature will be verified by researching the distribution of LSFM measure for speech and non-speech in terms of their misclassification rate for various noises.
Furthermore, by considering both detection and estimation errors, we propose a combined cost function which incorporates two general weighted distortion measures for the speech presence and speech absence of the spectral amplitudes, respectively.
Two important measures for any speech enhancement algorithm are noise suppression and speech distortion.
Specifically, we detected associations in the GA, US, DYS cohort for reading and in the OH, US, SSD cohort for measures of speech (e.g., oral motor skills, vocabulary and phonological processing).
Stutter-like dysfluencies (SLDs), articulation errors, interjections, reading errors, and speech rate were measured for both speech tasks as the participant spoke without feedback, with non-delayed feedback, and with DAF presented with 5 delay intervals (14 conditions total).
Poor readers showed abnormal patterns of cerebral asymmetry for all measures of speech envelope representation.
We measured cortical-evoked potentials in response to sentence stimuli and found that good readers indicated consistent right-hemisphere dominance in auditory cortex for all measures of speech envelope representation, including the precision, timing, and magnitude of cortical responses.
In this paper, we consider objective measures of speech motor function, which show promise for forming the basis of a comprehensive, quantitative bulbar motor assessment in ALS.
Specifically, we present vocal biomarkers for depression severity derived from phonologically-based measures of speech rate.
Objective measures of speech recognition sensitivity, d' [18], were calculated for each participant (see Figure 1a-b).
