122 resultados para Speaker Recognition, Text-constrained, Multilingual, Speaker Verification, HMMs


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Homophobic attitudes, irrational fears and negative attitudes against gay men and lesbians exist on the college campus (Lance, 2002; Rankin, 2003). Educators wishing to change these attitudes need to know what types of intervention would be effective. This investigation empirically assessed the degree of homophobia in a group of college students, and changes in the degree of homophobia following two levels of educational intervention that were rooted in educational theories and social contact theory. A 25-item scale developed by Hudson and Ricketts to measure the degree of negative attitudes toward gay men and lesbians was used in English classes at a southeastern university. This study examined the relationship between different demographic groups and the degree of change obtained as a result of the interventions. ^ Findings did not suggest that either interaction with gay men and lesbians in the form of a speaker panel or viewing a “coming out” episode of the Ellen show reduced homophobia to a significant extent. Results did demonstrate the Caribbeans and right wing authoritarians tend to be more homophobic. Post hoc analysis investigated factors that may have contaminated the interventions. Speaker Identification was a significant predictor of change in degree of homophobia. ^

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The full program of the 2013 Interior Design Symposium. Includes schedule, invited speaker bios, and a list of invited presenters.

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The Annual South Florida Education Research Conference is a presentation of scholarly work by students and faculty of member institutions and the community.

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Whereas previous research has demonstrated that trait ratings of faces at encoding leads to enhanced recognition accuracy as compared to feature ratings, this set of experiments examines whether ratings given after encoding and just prior to recognition influence face recognition accuracy. In Experiment 1 subjects who made feature ratings just prior to recognition were significantly less accurate than subjects who made no ratings or trait ratings. In Experiment 2 ratings were manipulated at both encoding and retrieval. The retrieval effect was smaller and nonsignificant, but a combined probability analysis showed that it was significant when results from both experiments are considered jointly. In a third experiment exposure duration at retrieval, a potentially confounding factor in Experiments 1 and 2, had a nonsignificant effect on recognition accuracy, suggesting that it probably does not explain the results from Experiments 1 and 2. These experiments demonstrate that face recognition accuracy can be influenced by processing instructions at retrieval.

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Alternating (CG) sequences form an unusual conformation in the presence of cobalt hexamine. The oligomer, BZ-IV, containing a (CG)4 run (BZ-IV sequence: 5'TCGACGCGCGCGATCAGTCA- 3') was inserted at the Sal I site of the Escherichia coli pGEM-5zf(+) plasmid producing the plasmid pCW001. Hinf I digestion of pCW001 produced a 367 base pair (bp) fragment containing the BZ-IV insert. For controls, the 452 bp Hinf I fragment from the pCW001 plasmid and the 347 bp Hinf I fragment from the pGEM plasmid were used. Digestion studies were performed using the restriction enzymes Bgl I, EcoRV, Hha I, Mbo I, Not I, Pst I, and Taq I and methylation studies were performed using dam methylase. Data were obtained by beta scanning or ethidium bromide staining the polyacrylamide gels of the digestion or methylation products. The results show that in the presence of 100 uM cobalt hexamine, in which BZ-IV takes on a non-B-Z-structure, the enzyme's ability to react and cleave its recognition site is enhanced.

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The current study implements a speech perception experiment that interrogates local perceptions of Spanish varieties in Miami. Participants (N=292) listened to recordings of three Spanish varieties (Peninsular, Highland Colombian, and Post-Castro Cuban) and were given background information about the speakers, including the parents’ country of origin. In certain cases, the parents’ national-origin label matched the country of origin of the speaker, but otherwise the background information and voices were mismatched. The manipulation distinguishes perceptions determined by bottom-up cues (dialect) from top-down ones (social information). Participants then rated each voice for a range of personal characteristics and answered hypothetical questions about the speakers’ employment, family, and income. Results show clear top-down effects of the social information that often drive perceptions up or down depending on the traits themselves. Additionally, the data suggest differences in perceptions between Hispanic/non-Hispanic and Cuban/non-Cuban participants, although the Cuban participants do not drive the Hispanic participants’ perceptions.

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Apple is a collection of poems that explores the connection between human relationships and the evolution of an identity. Multiple speakers investigate gender and sexuality, plentitude and poverty, atheism and Christianity in order to better understand some of the forces that affect a woman's consciousness. An awareness of perceived dualities, such as self and other, reason and faith, nature and technology, socialization and loneliness are central to this exploration. The poems employ various forms, such as ultra-talk narratives, lyrical meditations, prose poetry, epistolary poems and hypertext. The variety of structure and form in the collection mirrors the variety of approaches the speakers employ to move closer and further away from the subjects at hand. The rhetorical posture employed in each poem is directly linked to the speaker's relationship with the audience, which is an excellent example of a human relationship affecting the evolution of an identity.

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Homophobic attitudes, irrational fears and negative attitudes against gay men and lesbians exist on the college campus (Lance, 2002; Rankin, 2003). Educators wishing to change these attitudes need to know what types of intervention would be effective. This investigation empirically assessed the degree of homophobia in a group of college students, and changes in the degree of homophobia following two levels of educational intervention that were rooted in educational theories and social contact theory. A 25-item scale developed by Hudson and Ricketts to measure the degree of negative attitudes toward gay men and lesbians was used in English classes at a southeastern university. This study examined the relationship between different demographic groups and the degree of change obtained as a result of the interventions. Findings did not suggest that either interaction with gay men and lesbians in the form of a speaker panel or viewing a “coming out” episode of the Ellen show reduced homophobia to a significant extent. Results did demonstrate the Caribbeans and right wing authoritarians tend to be more homophobic. Post hoc analysis investigated factors that may have contaminated the interventions. Speaker Identification was a significant predictor of change in degree of homophobia.

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Psychologists have studied self-recognition in human infants as an indication of self-knowledge (Amsterdam, 1972) and the development of abstract thought processes. Gallup (1970) modified the mark test used in human infant work to examine if nonhuman primates showed similar evidence of mirror self-recognition. Chimpanzees (Pan troglodytes) and orangutans (Pongo pygmnaeus) pass the mirror self-recognition test with limited mirror training or exposure. Other species of primates, such as gorillas and monkeys, have not passed the mirror test, despite extensive mirror exposure and training (Gallup, 1979). This project examined a gorilla (G. gorilla gorilla) named Otto in the traditional mark test. Using the modified mark-test, there were more incidents of touching the marked area while Otto was in front of the mirror than when he was not in front of the mirror. These results indicated that Otto was able to show some evidence of selfawareness.

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Ensuring the correctness of software has been the major motivation in software research, constituting a Grand Challenge. Due to its impact in the final implementation, one critical aspect of software is its architectural design. By guaranteeing a correct architectural design, major and costly flaws can be caught early on in the development cycle. Software architecture design has received a lot of attention in the past years, with several methods, techniques and tools developed. However, there is still more to be done, such as providing adequate formal analysis of software architectures. On these regards, a framework to ensure system dependability from design to implementation has been developed at FIU (Florida International University). This framework is based on SAM (Software Architecture Model), an ADL (Architecture Description Language), that allows hierarchical compositions of components and connectors, defines an architectural modeling language for the behavior of components and connectors, and provides a specification language for the behavioral properties. The behavioral model of a SAM model is expressed in the form of Petri nets and the properties in first order linear temporal logic. This dissertation presents a formal verification and testing approach to guarantee the correctness of Software Architectures. The Software Architectures studied are expressed in SAM. For the formal verification approach, the technique applied was model checking and the model checker of choice was Spin. As part of the approach, a SAM model is formally translated to a model in the input language of Spin and verified for its correctness with respect to temporal properties. In terms of testing, a testing approach for SAM architectures was defined which includes the evaluation of test cases based on Petri net testing theory to be used in the testing process at the design level. Additionally, the information at the design level is used to derive test cases for the implementation level. Finally, a modeling and analysis tool (SAM tool) was implemented to help support the design and analysis of SAM models. The results show the applicability of the approach to testing and verification of SAM models with the aid of the SAM tool.

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These poems capture the "coming of age" experiences encountered by a Cuban-American narrator in the United States and in Cuba. The poems in the book appear chronologically, that is to say, not in the order they were written, but according to the age of the poet-speaker, ranging from early adolescence to young adulthood. The poems in Part I reveal the fragmented traditions and heritage inherited by a first generation Cuban-American, while questioning the complex merging of the two cultures encountered by the poet-speaker. In Part II, the majority of the poems are set in Cuba, as the poet-speaker travels through the living history of his "homeland" to explore the cultural roots discovered in its landscapes, traditions, relatives and towns, like Cienfuegos-"the city of a hundred fires". The style and language of the poetry become unique to the poet-speaker's own cultural vision, the Cuban-American experience transformed to lyric poetry.

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With the introduction of new input devices, such as multi-touch surface displays, the Nintendo WiiMote, the Microsoft Kinect, and the Leap Motion sensor, among others, the field of Human-Computer Interaction (HCI) finds itself at an important crossroads that requires solving new challenges. Given the amount of three-dimensional (3D) data available today, 3D navigation plays an important role in 3D User Interfaces (3DUI). This dissertation deals with multi-touch, 3D navigation, and how users can explore 3D virtual worlds using a multi-touch, non-stereo, desktop display. The contributions of this dissertation include a feature-extraction algorithm for multi-touch displays (FETOUCH), a multi-touch and gyroscope interaction technique (GyroTouch), a theoretical model for multi-touch interaction using high-level Petri Nets (PeNTa), an algorithm to resolve ambiguities in the multi-touch gesture classification process (Yield), a proposed technique for navigational experiments (FaNS), a proposed gesture (Hold-and-Roll), and an experiment prototype for 3D navigation (3DNav). The verification experiment for 3DNav was conducted with 30 human-subjects of both genders. The experiment used the 3DNav prototype to present a pseudo-universe, where each user was required to find five objects using the multi-touch display and five objects using a game controller (GamePad). For the multi-touch display, 3DNav used a commercial library called GestureWorks in conjunction with Yield to resolve the ambiguity posed by the multiplicity of gestures reported by the initial classification. The experiment compared both devices. The task completion time with multi-touch was slightly shorter, but the difference was not statistically significant. The design of experiment also included an equation that determined the level of video game console expertise of the subjects, which was used to break down users into two groups: casual users and experienced users. The study found that experienced gamers performed significantly faster with the GamePad than casual users. When looking at the groups separately, casual gamers performed significantly better using the multi-touch display, compared to the GamePad. Additional results are found in this dissertation.

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Modern power networks incorporate communications and information technology infrastructure into the electrical power system to create a smart grid in terms of control and operation. The smart grid enables real-time communication and control between consumers and utility companies allowing suppliers to optimize energy usage based on price preference and system technical issues. The smart grid design aims to provide overall power system monitoring, create protection and control strategies to maintain system performance, stability and security. This dissertation contributed to the development of a unique and novel smart grid test-bed laboratory with integrated monitoring, protection and control systems. This test-bed was used as a platform to test the smart grid operational ideas developed here. The implementation of this system in the real-time software creates an environment for studying, implementing and verifying novel control and protection schemes developed in this dissertation. Phasor measurement techniques were developed using the available Data Acquisition (DAQ) devices in order to monitor all points in the power system in real time. This provides a practical view of system parameter changes, system abnormal conditions and its stability and security information system. These developments provide valuable measurements for technical power system operators in the energy control centers. Phasor Measurement technology is an excellent solution for improving system planning, operation and energy trading in addition to enabling advanced applications in Wide Area Monitoring, Protection and Control (WAMPAC). Moreover, a virtual protection system was developed and implemented in the smart grid laboratory with integrated functionality for wide area applications. Experiments and procedures were developed in the system in order to detect the system abnormal conditions and apply proper remedies to heal the system. A design for DC microgrid was developed to integrate it to the AC system with appropriate control capability. This system represents realistic hybrid AC/DC microgrids connectivity to the AC side to study the use of such architecture in system operation to help remedy system abnormal conditions. In addition, this dissertation explored the challenges and feasibility of the implementation of real-time system analysis features in order to monitor the system security and stability measures. These indices are measured experimentally during the operation of the developed hybrid AC/DC microgrids. Furthermore, a real-time optimal power flow system was implemented to optimally manage the power sharing between AC generators and DC side resources. A study relating to real-time energy management algorithm in hybrid microgrids was performed to evaluate the effects of using energy storage resources and their use in mitigating heavy load impacts on system stability and operational security.

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Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore find applications in medicine and engineering. The Pupil Diameter (PD) seems to provide a strong indication of the affective state, as found by previous research, but it has not been investigated fully yet. In this study, new approaches based on monitoring and processing the PD signal for off-line and on-line affective assessment (“relaxation” vs. “stress”) are proposed. Wavelet denoising and Kalman filtering methods are first used to remove abrupt changes in the raw Pupil Diameter (PD) signal. Then three features (PDmean, PDmax and PDWalsh) are extracted from the preprocessed PD signal for the affective state classification. In order to select more relevant and reliable physiological data for further analysis, two types of data selection methods are applied, which are based on the paired t-test and subject self-evaluation, respectively. In addition, five different kinds of the classifiers are implemented on the selected data, which achieve average accuracies up to 86.43% and 87.20%, respectively. Finally, the receiver operating characteristic (ROC) curve is utilized to investigate the discriminating potential of each individual feature by evaluation of the area under the ROC curve, which reaches values above 0.90. For the on-line affective assessment, a hard threshold is implemented first in order to remove the eye blinks from the PD signal and then a moving average window is utilized to obtain the representative value PDr for every one-second time interval of PD. There are three main steps for the on-line affective assessment algorithm, which are preparation, feature-based decision voting and affective determination. The final results show that the accuracies are 72.30% and 73.55% for the data subsets, which were respectively chosen using two types of data selection methods (paired t-test and subject self-evaluation). In order to further analyze the efficiency of affective recognition through the PD signal, the Galvanic Skin Response (GSR) was also monitored and processed. The highest affective assessment classification rate obtained from GSR processing is only 63.57% (based on the off-line processing algorithm). The overall results confirm that the PD signal should be considered as one of the most powerful physiological signals to involve in future automated real-time affective recognition systems, especially for detecting the “relaxation” vs. “stress” states.

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FAULT LINE examines the fragile humanity connected to the themes of sexuality, violence, addiction, family dynamics, and death. The book is not broken into sections; rather, as poems build upon one another to explore a narrative arc, FAULT LINE tracks a single speaker’s experience from girlhood to the verge of independent womanhood. The speaker employs formal structures such as the prose poem, sestina, and particularly the list poem to examine the fluidity of inner experience and also the culture at large while challenging the narrow definitions of femininity and masculinity. FAULT LINE works to not only address the question of blame but also the literal breaks in lines of poetry. By looking at a single speaker’s struggle, the book, like life, is both humorous and horrifying.