scholarly journals Using a coupled-oscillator model of speech rhythm to estimate rhythmic variability in two Brazilian Portuguese varieties (CE and SP)

2021 ◽  
Vol 2 (4) ◽  
pp. e577
Author(s):  
Pablo Arantes ◽  
Ronaldo Mangueira Lima Júnior
Keyword(s):  
Brazilian Portuguese ◽  
The State ◽  
Temporal Organization ◽  
Hierarchical Regression ◽  
Entrainment Rate ◽  
Speech Rhythm ◽  
Bayesian Hierarchical ◽  
Syllable Duration ◽  
Natural Duration ◽  
Relative Change

This paper presents preliminary results of a semi-automatic methodology to extract three parameters of a dynamic model of speech rhythm. The model attempts to analyze the production of rhythm as a system of coupled oscillators which represent syllabicity and phrase stress as levels of temporal organization. The estimated parameters are the syllabic oscillator entrainment rate (alpha), the syllabic oscillator decay rate (beta), and the coupling strength between the oscillators (w0). The methodology involves finding the <alpha, beta, w0> combination that minimizes the distance between natural duration contours and simulated contours generated using several combinations of the parameters. The distance between natural and model-generated contours was measured in two ways by comparing: (1) plain or overt syllable to syllable duration and (2) relative change along both contours.We applied this methodology to read speech produced by five speakers of the state of Ceará (CE) and eight speakers of the state of São Paulo (SP). Mean w0 and alpha values are compatible with the view that Brazilian Portuguese is a mixed-rhythm language. Results from two bayesian hierarchical regression models do not suggest a difference between SP and CE speakers, but indicate a difference between the two methods, with the relative change method generating lower alpha values and higher w0 values, and the reverse for the plain duration method.

A Bayesian adjusted plus-minus analysis for the esport Dota 2

2020 ◽  
Vol 16 (4) ◽  
pp. 325-341
Author(s):  
Nicholas Clark ◽  
Brian Macdonald ◽  
Ian Kloo
Keyword(s):  
Professional Sports ◽  
Hierarchical Regression ◽  
Sports Analytics ◽  
Bayesian Hierarchical ◽  
The Past ◽  
Score Statistics ◽  
Level Statistics ◽  
Traditional Sports ◽  
Level Information ◽  
Individual Player

AbstractAnalytics and professional sports have become linked over the past several years, but little attention has been paid to the growing field of esports within the sports analytics community. We seek to apply an Adjusted Plus Minus (APM) model, an accepted analytic approach used in traditional sports like hockey and basketball, to one particular esports game: Defense of the Ancients 2 (Dota 2). As with traditional sports, we show how APM metrics developed with Bayesian hierarchical regression can be used to quantify individual player contributions to their teams and, ultimately, use this player-level information to predict game outcomes. In particular, we first provide evidence that gold can be used as a continuous proxy for wins to evaluate a team’s performance, and then use a Bayesian APM model to estimate how players contribute to their team’s gold differential. We demonstrate that this APM model outperforms models based on common team-level statistics (often referred to as “box score statistics”). Beyond the specifics of our modeling approach, this paper serves as an example of the potential utility of applying analytical methodologies from traditional sports analytics to esports.

scholarly journals Detection of Non-native Speaker Status from Backwards and Vocoded Contentmasked Speech

2020 ◽  
Vol 6 (2) ◽  
pp. 87-105
Author(s):  
Arkadiusz Rojczyk ◽  
Andrzej Porzuczek
Keyword(s):  
White Noise ◽  
Native Speaker ◽  
Temporal Organization ◽  
Speech Rhythm ◽  
Accented Speech ◽  
Significant Contributor ◽  
Suprasegmental Features ◽  
The Status ◽  
Native Speech ◽  
Vocoded Speech

This paper addresses the issue of speech rhythm as a cue to non-native pronunciation. In natural recordings, it is impossible to disentangle rhythm from segmental, subphonemic or suprasegmental features that may influence nativeness ratings. However, two methods of speech manipulation, that is, backwards content-masked speech and vocoded speech, allow the identification of native and non-native speech in which segmental properties are masked and become inaccessible to the listeners. In the current study, we use these two methods to compare the perception of content-masked native English speech and Polish-accented speech. Both native English and Polish-accented recordings were manipulated using backwards masked speech and 4-band white-noise vocoded speech. Fourteen listeners classified the stimuli as produced by native or Polish speakers of English. Polish and English differ in their temporal organization, so, if rhythm is a significant contributor to the status of non-native accentedness, we expected an above-chance rate of recognition of native and non-native English speech. Moreover, backwards content-masked speech was predicted to yield better results than vocoded speech, because it retains some of the indexical properties of speakers. The resultsshow that listeners are unable to detect non-native accent in Polish learners of English from backwards and vocoded speech samples.

scholarly journals GESTIÓN DEL CONOCIMIENTO Y CAPITAL INTELECTUAL EN LA INDUSTRIA TEQUILERA DEL ESTADO DE JALISCO

2014 ◽  
Vol 32 (1) ◽  
pp. 163
Author(s):  
Marco Alberto Núñez Ramírez
Keyword(s):  
Knowledge Management ◽  
Experimental Design ◽  
Empirical Evidence ◽  
Multiple Regression ◽  
Intellectual Capital ◽  
Quantitative Research ◽  
The State ◽  
Hierarchical Regression ◽  
Control Variables ◽  
Degree Of Association

<p>Studies show that knowledge management is associated with intellectual capital; however,<br />is not clear how this relationship occurs. The objective of this research is to know the degree of association between knowledge management and intellectual capital. We<br />obtained as empirical evidence 50 Tequila companies of the State of Jalisco, Mexico. We found positive and significant levels of correlation between the above variables; as well<br />as significant values of influence of the knowledge management on intellectual capital, through the use of control variables such as the size of the company and area of trade, through a correlational, and quantitative research with a non-experimental design, where the correlation of Pearson, multiple regression and hierarchical regression were used.</p>

neutralization of dialectal features of the speech of Belém/PA and Recife/PE in telejournalistc narrations

2018 ◽  
Vol 7 (1) ◽  
pp. 17-32
Author(s):  
Gisele Braga Souza ◽  
Ana Carolina Constantini
Keyword(s):  
Brazilian Portuguese ◽  
The State ◽  
The Internet ◽  
Local News ◽  
News Programs

The objective of this article is to analyze the speech used in the local news programs in Belém, capital of the state of Pará, and in Recife, capital of the state of Pernambuco, in order to verify how it is characterized. For this, speech samples were collected from three reporters native to the capital of Pará, as well as three news presenters and two reporters native to the capital of Pernambuco, using videos made available on the Internet to verify if they use the characteristics of their dialects or if they meet a standard norm of telejournalistic discourse. It starts from the hypothesis that some of these characteristics are smoothed or erased as an attempt to regularize or normalize them and thus try to follow a pattern of pronunciation of more prestigious forms in Brazilian Portuguese. From the realization of the research, attempts to neutralize the dialectal features of the speech of Belém and Recife were verified, based on the statements of the professionals analyzed. However, in Belém, the smoothing of the dialectal features doesn't come to be predominant, already in Recife the neutralization of the dialectal features is much more frequente.

scholarly journals So, Morphological Awareness Contributes to Reading in Brazilian Portuguese?

Psico-USF ◽  
2015 ◽  
Vol 20 (3) ◽  
pp. 471-480 ◽  
Author(s):  
Pedro Viana de Freitas Junior ◽  
Márcia Maria Peruzzi Elia da Mota
Keyword(s):  
Phonological Processing ◽  
Reading Skills ◽  
Verbal Ability ◽  
Morphological Awareness ◽  
Brazilian Portuguese ◽  
Hierarchical Regression ◽  
Verbal Intelligence ◽  
Skills Acquisition ◽  
School Students ◽  
Alphabetic Language

Abstract The present study aims to answer a recently raised controversy regarding the role that morphological awareness has to reading skills acquisition in Brazilian Portuguese. The aim was to investigate whether morphological awareness contributes to reading after controlling for non-verbal intelligence and phonological awareness in Brazilian Portuguese variables. The study included 52 elementary school students enrolled in a public school in the municipality of São Gonçalo, state of Rio de Janeiro. The hierarchical regression analyses showed that derivational morphological awareness contributes to reading independently of phonological processing and non-verbal ability. The results of this study indicate that morphological awareness contributes to reading words but not to reading comprehension. The results of this study corroborate with the hypothesis that even in an alphabetic language, such as Portuguese, morphological awareness is important to reading acquisition.

Bayesian hierarchical regression models for detecting QTLs in plant experiments

2008 ◽  
Vol 35 (7) ◽  
pp. 799-808 ◽  
Author(s):  
Edward L. Boone ◽  
Susan J. Simmons ◽  
Haikun Bao ◽  
Ann E. Stapleton
Keyword(s):  
Regression Models ◽  
Hierarchical Regression ◽  
Bayesian Hierarchical

scholarly journals An examination of disparities in cancer incidence in Texas using Bayesian random coefficient models

2015 ◽  
Author(s):  
Corey Sparks
Keyword(s):  
Cancer Risk ◽  
Cancer Incidence ◽  
The United States ◽  
Population Based ◽  
Hierarchical Regression ◽  
Random Coefficient Models ◽  
Bayesian Hierarchical ◽  
Incidence Data ◽  
Spatio Temporal ◽  
Spatially Varying

Disparities in cancer risk exist between ethnic groups in the United States. These disparities often result from differential access to healthcare, differences in socioeconomic status and differential exposure to carcinogens. This study uses cancer incidence data from the population based Texas Cancer Registry to investigate the disparities in digestive and respiratory cancers from 2000 to 2008. A Bayesian hierarchical regression approach is used. Specifically, a spatially varying coefficient model of the disparity between Hispanic and Non-Hispanic incidence is used. Results suggest that a spatio-temporal heterogeneity model best accounts for the observed Hispanic disparity in cancer risk. Overall, there is a significant disadvantage for the Hispanic population of Texas with respect to both of these cancers, and this disparity varies significantly over space. The greatest disparities between Hispanics and Non-Hispanics in digestive and respiratory cancers occur in eastern Texas, with patterns emerging as early as 2000 and continuing until 2008.

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