This research is a first step towards investigating the impact verbal descriptions can have on an individual’s memory for actors performing actions. Previous research has found that verbal descriptions of mugshot-esque, face stimuli can have either a facilitative or inhibitory effect on later recognition. The current study implemented the Person Action Conjunction (PAC) test, along with three separate groups where participants provided descriptions of actions, features of the actors, and holistic attributes of the actors. The results demonstrated that the description group impacted the attention placed on either the action or actor, causing participants to remember those described elements more. Furthermore, it was found that accurately recalling descriptions provided at encoding was significantly and positively correlated with recognition performance. Further research is necessary with different control conditions before an impact of verbal description on the memory for actors and actions can be known. / Includes bibliography. / Thesis (M.A.)--Florida Atlantic University, 2020. / FAU Electronic Theses and Dissertations Collection

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Optical music recognition (OMR) allows pages of sheet music to be interpreted by a computer, and converted into a versatile machine-readable format. There are many advantages of such a system. For instance, a soloist could have the computer play an accompaniment for rehearsal; a user could build music database occupying less memory; or a musicologist could make an edition, modification, or print of the captured image. Typically, OCR techniques can not be used in music score recognition since music notation presents a two dimensional structure: in a staff the horizontal position denotes different duration for notes and the vertical position defines the height of the note. That the quality or the typesetting of a score is not the same, or some of the man-made factors make many related researches could not process flexibility, or could only recognize with restriction. The paper covers two fields of knowledge: one is image processing technology, mainly based on projection, which is employed to extract horizontal and vertical line to abridge the recognition field, and morphology, which recognize musical symbols. The other is music metric, which provides the help on the analysis, and corrects the errors after recognizing. This system divides into three phases. It starts with all the pre-processing that is needed to de-skew input image, which afford to staff line detection and removal. Then, the symbol recognition, detects the vertical and non-vertical line musical symbol respectively, which are combined into a notation to refine by metric. Finally, the results are stored in a musical representation language, which could be converted into the MIDI format and the music can be played on a MIDI synthesizer. The experiment shows this system could get a satisfied result successfully in short time, and there is no hard-and-fast claim for image resolution.

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Emotion conveys the psychological state of a person. It is expressed by a variety of physiological changes, such as changes in blood pressure, heart beat rate, degree of sweating, and can be manifested in shaking, changes in skin coloration, facial expression, and the acoustics of speech. This research focuses on the recognition of emotion conveyed in speech. There were three main objectives of this study. One was to examine the role played by the glottal source signal in the expression of emotional speech. The second was to investigate whether it can provide improved robustness in real-world situations and in noisy environments. This was achieved through testing in clear and various noisy conditions. Finally, the performance of glottal features was compared to diverse existing and newly introduced emotional feature domains. A novel glottal symmetry feature is proposed and automatically extracted from speech. The effectiveness of several inverse filtering methods in extracting the glottal signal from speech has been examined. Other than the glottal symmetry, two additional feature classes were tested for emotion recognition domains. They are the: Tonal and Break Indices (ToBI) of American English intonation, and Mel Frequency Cepstral Coefficients (MFCC) of the glottal signal. Three corpora were specifically designed for the task. The first two investigated the four emotions: Happy, Angry, Sad, and Neutral, and the third added Fear and Surprise in a six emotions recognition task. This work shows that the glottal signal carries valuable emotional information and using it for emotion recognition has many advantages over other conventional methods. For clean speech, in a four emotion recognition task using classical prosodic features achieved 89.67% recognition, ToBI combined with classical features, reached 84.75% recognition, while using glottal symmetry alone achieved 98.74%. For a six emotions task these three methods achieved 79.62%, 90.39% and 85.37% recognition rates, respectively. Using the glottal signal also provided greater classifier robustness under noisy conditions and distortion caused by low pass filtering. Specifically, for additive white Gaussian noise at SNR = 10 dB in the six emotion task the classical features and the classical with ToBI both failed to provide successful results; speech MFCC's achieved a recognition rate of 41.43% and glottal symmetry reached 59.29%. This work has shown that the glottal signal, and the glottal symmetry in particular, provides high class separation for both the four and six emotion cases. It is confidently surpassing the performance of all other features included in this investigation in noisy speech conditions and in most clean signal conditions.

Thesis (M.Sc.) - Carleton University, 2005. / Includes bibliographical references (p. 150-155). Also available in electronic format on the Internet.

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This thesis explores the role of gist memory and gist representation in the formation of false recognition, specifically in the Deese, Roediger and McDermott Paradigm. We found that normal individuals displayed a range of susceptibility to false recognition and true recognition and this was related to their scores on both the Autism Spectrum Quotient and the Toronto-Alexithymia Scale. More ‘male-brained’ participants exhibited less susceptibility to false recognition but also less veridical recognition. The reverse was true for more ‘female-brained’ participants. The idea of false recognition and gist memory lying along a continuum was further emphasised by work on individuals with Autism Spectrum Disorder. We found they were less susceptible to false recognition but also produced less veridical recognition. We also found differences in performance between two groups of autism individuals who also differed in age. The results of further manipulations using both picture and word paradigms suggested that gist memory could be improved in younger individuals with autism. We also examined a patient group with Functional Memory Disorder using the DRM paradigm and a confabulation task and found them less able to produce true recognition in the DRM compared with a control group. Their memory impairments could not be attributed to depression since none were clinically depressed, so we suggested that they represent the tale end of impairment to gist memory. We also explored gist memory in a patient with dense anterograde amnesia who showed reduced true recognition and a tendency to reduced false recognition, but through manipulation of the stimuli using word and pictorial material she could perform like controls due to improved item-specific discrimination. A new face recognition paradigm was also tested in which she showed a tendency towards increased false recognition in comparison with controls. Finally, we suggest the use of the DRM paradigm as a test for memory malingering since we found participants could not replicate the performance of amnesia patients without a cost in their response latencies. This is discussed through the case study of GC a man suspected of exaggerating his memory symptoms.