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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
71

Human vocal communication of body size

Pisanski, Katarzyna 11 1900 (has links)
The human voice may convey meaningful information about socially and evolutionarily relevant characteristics of the vocalizer. In turn, listeners may readily evaluate personal characteristics, such as body size, on the basis of nonverbal voice features. Research investigating vocal communication of physical size in humans has focused on two salient and largely independent voice features, fundamental frequency and/or corresponding harmonics (perceived as voice pitch) and formant frequencies (resonance frequencies of the supralaryngeal vocal tract). However, the degree to which fundamental and formant frequencies reliably predict variation in body size controlling for sex and age, and their relative role in the perception or accurate estimation of body size, has to date been unclear. In the current thesis, using meta-analysis, I establish that formants reliably predict variation in men’s and women’s heights and weights. In contrast, fundamental frequency only weakly predicts men’s heights and women’s weights. These findings corroborate work on many other mammals whose vocal production, like humans, follows the source-filter model. Despite the lack of a robust physical relationship between fundamental frequency and size within sexes, I further demonstrate that listeners utilize voice pitch to accurately gauge men’s relative height. My research suggests that voice pitch indirectly facilitates accurate size assessment by providing a carrier signal (i.e., dense harmonics) for formants. This is the first evidence that pitch does not confound accurate size estimation. Finally, I demonstrate that voices with lowered pitch, but not raised pitch, are perceived as larger when projected from a low than high spatial location. These results suggest that strong cross-modal perceptual biases linking low pitch to low elevation and large size may, in some contexts, cause errors in size estimation. Taken together, this thesis provides a detailed account of human vocal communication of body size, which can play a meaningful role in sexual and social contexts. / Dissertation / Doctor of Philosophy (PhD)
72

Phonetic And Acoustic Analyses Of Two New Cases Of Foreign Accent Syndrome

Perkins, Rosalie 01 January 2007 (has links)
This study presents detailed phonetic and acoustic analyses of the speech characteristics of two new cases of Foreign Accent Syndrome (FAS). Participants include a 48-year-old female who began speaking with an "Eastern European" accent following a traumatic brain injury, and a 45-year-old male who presented with a "British" accent following a subcortical cerebral vascular accident (CVA). Identical samples of the participants' pre- and post-morbid speech were obtained, thus affording a new level of control in the study of Foreign Accent Syndrome. The speech tasks consisted of oral readings of the Grandfather Passage and 18 real words comprised of the stop consonants /p/, /t/, /k/, /b/, /d/, /g/ combined with the peripheral vowels /i/, /a/ and /u/ and ending in a voiceless stop. Computer-based acoustic measures included: 1) voice onset time (VOT), 2) vowel durations, 3) whole word durations, 4) first, second and third formant frequencies, and 5) fundamental frequency. Formant frequencies were measured at three points in the vowel duration: a) 20%, b) 50%, and c) 80% to assess differences in vowel 'onglides' and 'offglides'. The phonetic analysis provided perceptual identification of the major phonetic features associated with the foreign quality of participant's FAS speech, while acoustic measures allowed precise quantification of these features. Results indicated evidence of backing of consonant and vowel productions for both participants. The implications for future research and clinical applications are also considered.
73

Určování stresu z řečového signálu / Stress recognition from speech signal

Staněk, Miroslav January 2016 (has links)
Předložená disertační práce se zabývá vývojem algoritmů pro detekci stresu z řečového signálu. Inovativnost této práce se vyznačuje dvěma typy analýzy řečového signálu, a to za použití samohláskových polygonů a analýzy hlasivkových pulsů. Obě tyto základní analýzy mohou sloužit k detekci stresu v řečovém signálu, což bylo dokázáno sérií provedených experimentů. Nejlepších výsledků bylo dosaženo pomocí tzv. Closing-To-Opening phase ratio příznaku v Top-To-Bottom kritériu v kombinaci s vhodným klasifikátorem. Detekce stresu založená na této analýze může být definována jako jazykově i fonémově nezávislá, což bylo rovněž dokázáno získanými výsledky, které dosahují v některých případech až 95% úspěšnosti. Všechny experimenty byly provedeny na vytvořené české databázi obsahující reálný stres, a některé experimenty byly také provedeny pro anglickou stresovou databázi SUSAS.
74

Singing-driven interfaces for sound synthesizers

Janer Mestres, Jordi 14 March 2008 (has links)
Els instruments musicals digitals es descomponen usualment en dues parts: la interfície d'usuari i el motor de síntesi. Tradicionalment la interfície d'usuari pren el nom de controlador musical. L'objectiu d'aquesta tesi és el disseny d'un interfície que permeti el control de la síntesi de sons instrumentals a partir de la veu cantada.Amb la present recerca, intentem relacionar la veu amb el so dels instruments musicals, tenint en compte tan la descripció del senyal de veu, com les corresponents estratègies de mapeig per un control adequat del sintetitzador.Proposem dos enfocaments diferents, d'una banda el control d'un sintetitzador de veu cantada, i d'altra banda el control de la síntesi de sons instrumentals. Per aquest últim, suggerim una representació del senyal de veu com a gests vocals, que inclou una sèrie d'algoritmes d'anàlisis de veu. A la vegada, per demostrar els resultats obtinguts, hem desenvolupat dos prototips a temps real. / Los instrumentos musicales digitales se pueden separar en dos componentes: el interfaz de usuario y el motor de sintesis. El interfaz de usuario se ha denominado tradicionalmente controlador musical. El objectivo de esta tesis es el diseño de un interfaz que permita el control de la sintesis de sonidos instrumentales a partir de la voz cantada.La presente investigación pretende relacionar las caracteristicas de la voz con el sonido de los instrumentos musicales, teniendo en cuenta la descripción de la señal de voz, como las correspondientes estrategias de mapeo para un control apropiado del sintetizador. Se proponen dos enfoques distintos, el control de un sintetizador de voz cantada, y el control de la sintesis de sonidos insturmentales. Para este último, se sugiere una representación de la señal de voz como gestos vocales, incluyendo varios algoritmos de analisis de voz. Los resultados obtenidos se demuestran con dos prototipos a tiempo real. / Digital musical instruments are usually decomposed in two main constituent parts: a user interface and a sound synthesis engine. The user interface is popularly referred as a musical controller, and its design is the primary objective of this dissertation. Under the title of singing-driven interfaces, we aim to design systems that allow controlling the synthesis of musical instruments sounds with the singing voice. This dissertation searches for the relationships between the voice and the sound of musical instruments by addressing both, the voice signal description, as well as the mapping strategies for a meaningful control of the synthesized sound. We propose two different approaches, one for controlling a singing voice synthesizer, and another for controlling the synthesis of instrumental sounds. For the latter, we suggest to represent voice signal as vocal gestures, contributing with several voice analysis methods.To demonstrate the obtained results, we developed two real-time prototypes.
75

Moderní řečové příznaky používané při diagnóze chorob / State of the art speech features used during the Parkinson disease diagnosis

Bílý, Ondřej January 2011 (has links)
This work deals with the diagnosis of Parkinson's disease by analyzing the speech signal. At the beginning of this work there is described speech signal production. The following is a description of the speech signal analysis, its preparation and subsequent feature extraction. Next there is described Parkinson's disease and change of the speech signal by this disability. The following describes the symptoms, which are used for the diagnosis of Parkinson's disease (FCR, VSA, VOT, etc.). Another part of the work deals with the selection and reduction symptoms using the learning algorithms (SVM, ANN, k-NN) and their subsequent evaluation. In the last part of the thesis is described a program to count symptoms. Further is described selection and the end evaluated all the result.

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