scholarly journals Vowel inherent spectral properties characterized in Korean and American English talkers’ English vowel signals: A production-based pattern recognition modeling study

2016 ◽  
Vol 22 (3) ◽  
pp. 583-609 ◽  
Author(s):  
Soonhyun Hong
Keyword(s):  
Pattern Recognition ◽  
Spectral Properties ◽  
American English ◽  
Modeling Study

Mumbling: Macho or Morphology?

2016 ◽  
Vol 59 (6) ◽  
Author(s):  
Melanie Weirich ◽  
Susanne Fuchs ◽  
Adrian Simpson ◽  
Ralf Winkler ◽  
Pascal Perrier
Keyword(s):  
American English ◽  
Data Sets ◽  
Clear Speech ◽  
Jaw Opening ◽  
Male Model ◽  
Pharyngeal Constriction ◽  
Articulatory Model ◽  
Potential Interactions ◽  
Speech Clarity ◽  
Modeling Study

Purpose Mumbling as opposed to clear speech is a typical male characteristic in speech and can be the consequence of a small jaw opening. Whereas behavioral reasons have often been offered to explain sex-specific differences with respect to clear speech, the purpose of this study is to investigate a potential anatomical reason for smaller jaw openings in male than in female speakers. Method Articulatory data from 2 data sets (American English and German) were analyzed with respect to jaw opening in low vowels during speech. Particular focus was placed on sex-specific differences, also incorporating potential interactions with different accent conditions in 1 of the data sets. In addition, a modeling study compared the articulatory consequences of similar jaw-opening settings in a typical male and a typical female articulatory model. Results Greater jaw openings were found for the female speakers, in particular in the accented condition, where jaw opening was found to be larger. In line with this finding, the modeling study showed that similar jaw-opening settings in male and female speakers led to differences in pharyngeal constriction, resulting in complete radico-pharyngeal closure in the male model. Conclusion The empirical and modeling findings suggest a possible physiological component in sex-specific differences in speech clarity for low vowels.

scholarly journals SPECTRAL MATCHING OF CLASSICAL CYTOCHEMISTRY TO AUTOMATED CYTOLOGY

1974 ◽  
Vol 22 (7) ◽  
pp. 453-469 ◽  
Author(s):  
LEONARD ORNSTEIN ◽  
HUDSON R. ANSLEY
Keyword(s):  
Pattern Recognition ◽  
Blood Cell ◽  
White Blood Cell ◽  
Spectral Properties ◽  
Cell Recognition ◽  
Machine Performance ◽  
History Of ◽  
Flow Through ◽  
Relationship Of ◽  
The Relationship

Aspects of the history of automated cytology and a brief comparison of present and anticipated future levels of performance of flow-through and pattern recognition technologies for white blood cell recognition and counting are briefly presented. The relationship of the spectral properties of cytochemical preparations to machine performance are discussed. Some advantages of matching the spectral properties to hardware and software capabilities are illustrated. Some kinds of difficulties in achieving such a match are reviewed and examples of present levels of achievement are illustrated.

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

Bayesian removal of noise for increased sensitivity in vector pattern recognition lattice imaging of interfaces

1993 ◽  
Vol 51 ◽  
pp. 994-995
Author(s):  
L. Fei ◽  
P. Fraundorf
Keyword(s):  
Pattern Recognition ◽  
Perfect Crystal ◽  
Unit Cell ◽  
Ion Milling ◽  
Beam Radiation ◽  
Major Interest ◽  
Unit Cells ◽  
Mapping Process ◽  
Increased Sensitivity ◽  
Electron Microscopes

Interface structure is of major interest in microscopy. With high resolution transmission electron microscopes (TEMs) and scanning probe microscopes, it is possible to reveal structure of interfaces in unit cells, in some cases with atomic resolution. A. Ourmazd et al. proposed quantifying such observations by using vector pattern recognition to map chemical composition changes across the interface in TEM images with unit cell resolution. The sensitivity of the mapping process, however, is limited by the repeatability of unit cell images of perfect crystal, and hence by the amount of delocalized noise, e.g. due to ion milling or beam radiation damage. Bayesian removal of noise, based on statistical inference, can be used to reduce the amount of non-periodic noise in images after acquisition. The basic principle of Bayesian phase-model background subtraction, according to our previous study, is that the optimum (rms error minimizing strategy) Fourier phases of the noise can be obtained provided the amplitudes of the noise is given, while the noise amplitude can often be estimated from the image itself.

Addressing African American English in Early Literacy Assessment and Instruction

2008 ◽  
Vol 15 (2) ◽  
pp. 54-61 ◽  
Author(s):  
Nicole Patton Terry
Keyword(s):  
African American ◽  
Early Literacy ◽  
American English ◽  
Critical Role ◽  
Literacy Skills ◽  
African American English ◽  
Literacy Assessment ◽  
Learning To Read ◽  
Speech Language Pathologist ◽  
Early Literacy Assessment

Abstract Determining how best to address young children's African American English use in formal literacy assessment and instruction is a challenge. Evidence is not yet available to discern which theory best accounts for the relation between AAE use and literacy skills or to delineate which dialect-informed educational practices are most effective for children in preschool and the primary grades. Nonetheless, consistent observations of an educationally significant relation between AAE use and various early literacy skills suggest that dialect variation should be considered in assessment and instruction practices involving children who are learning to read and write. The speech-language pathologist can play a critical role in instituting such practices in schools.

Zero Marking of Past Tense in Child African American English

2014 ◽  
Vol 21 (4) ◽  
pp. 173-181 ◽  
Author(s):  
Ryan Lee ◽  
Janna B. Oetting
Keyword(s):  
African American ◽  
American English ◽  
African American English ◽  
Current Paper ◽  
Past Tense ◽  
Typically Developing ◽  
Grammatical Function

Zero marking of the simple past is often listed as a common feature of child African American English (AAE). In the current paper, we review the literature and present new data to help clinicians better understand zero marking of the simple past in child AAE. Specifically, we provide information to support the following statements: (a) By six years of age, the simple past is infrequently zero marked by typically developing AAE-speaking children; (b) There are important differences between the simple past and participle morphemes that affect AAE-speaking children's marking options; and (c) In addition to a verb's grammatical function, its phonetic properties help determine whether an AAE-speaking child will produce a zero marked form.

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