A treatment plan that includes a training schedule for the selected device;and An assessment of whether the individual's daily communication needs could be met using other natural modes of communication;and Demonstration that the member possesses the cognitive and physical abilities to effectively use ...
www.nature.com/scientificreports OPEN Neural Correlates of Speech Segregation Based on Formant Frequencies of Adjacent Vowels received: 25 July 2016 accepted: 09 December 2016 Published: 19 January 2017 Claude Alain1,2, Jessica S. Arsenault1,2, Linda Garami1, Gavin M. Bidelman3 &...
211-232, 10.1002/icd.286 View in ScopusGoogle Scholar Christophe et al., 2003 A. Christophe, M. Nespor, M.T. Guasti, B. Van Ooyen Prosodic structure and syntactic acquisition: The case of the head-direction parameter Developmental Science, 6 (2003), pp. 211-220, 10.1111/1467-7687.00273...
In order to solve the problems above, the unsupervised two-step sparse transfer learning (TSTL) is proposed in this paper in PD's speech diagnosis. In the first step, convolution sparse coding learning with the coordinate selection of samples and features (CSC&SF) is proposed to supplement th...
third party payers of mental health services have found that theDSMcoding system works well as part of a practical method for their record keeping; with the aid of these codes, people do manage to access mental health services, mental health service providers do manage to get paid, and f...
Background: Speech-sound disorders (SSD) have been linked to auditory processing difficulties, and auditory processing disorders (APD) have been related to phonological awareness and literacy development. To this date, there has not been a systematic lit
Introduction Speech/music classification algorithms are an important component of variable rate speech coding and coverage of the communication bandwidth, and provide effective means for enhancing the capacity of the bandwidth. In addition, a major concern in speech coding is optimizing speech input, ...
In Proceedings of International Conference on Deep Learning, Computing and Intelligence: ICDCI 2021; Springer Nature Singapore: Singapore, 2022; pp. 373–387. [Google Scholar] Liu, Z.; Xu, J.; Wu, M.; Cao, W.; Chen, L.F.; Ding, X.W.; Hao, M.; Xie, Q. Review of emotional ...