Efeito da língua, estilo de elocução e sexo do falante sobre medidas globais da frequência fundamental

Eriksson

2019

Interspeech 2019

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In this study, we outline a methodology to quantify the degree of similarity between pairs of f0 distributions based on the Anderson-Darling measure that underlies its namesake goodness-of-fit test. The procedure emphasizes differences due to more fine-grained f0 modulations rather than differences in measures of central tendency, such as the mean and median. In order to assess the procedure's usefulness for speaker comparison, we applied it to a multilingual corpus in which participants contributed speech delivered in three speaking styles. The similarity measure was calculated separately as function of speaking style and speaker. Between-speaker variability (different speakers, same style) in distribution similarity varied significantly between styles-spontaneous interview shows greater variability than read sentences and word list in five languages (English, French, Italian, Portuguese and Swedish); in Estonian and German, read sentences yield more variability. Within-speaker variability (same speaker, different styles) levels are lower than between-speaker in the style that exhibit the greatest variability. The results point to the potential use of the proposed methodology as a way to identify possible idiosyncratic traits in f0 distributions. Also, they further demonstrate the effect of speaking styles on intonation patterns.

Section: Introductionmentioning

confidence: 99%

“…In a previous work, we analyzed this same corpus in search for effects of language, speaking style and speaker sex on global measures of fundamental frequency [2]. There we focused on measures of central tendency and variability of f0 and a number of statistically significant effects were uncovered.…”

Section: Introductionmentioning

confidence: 99%

Quantifying Fundamental Frequency Modulation as a Function of Language, Speaking Style and Speaker

Eriksson

2019

Interspeech 2019

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“…This may be explained by the significantly greater variation in spontaneous speech. Standard deviation in semitones for the full data set are 2.6 st for the spontaneous versus 2.2 st for the other styles as measured in a study using the same corpus [7]. If the languages are analysed separately, the same pattern appears, SD is systematically greater in spontaneous speech.…”

Section: Discussionmentioning

confidence: 74%

“…In another recent study [7] that looked into the effect of language, speaking style and speaker sex on a number of statistical measures of f0, the base value and the median deviation from the base value were found to be fairly robust against the influence of these factors.…”

Section: Introductionmentioning

confidence: 93%

Effect of Language, Speaking Style and Speaker on Long-Term F0 Estimation

Eriksson

Gutzeit³

2017

Interspeech 2017

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In this study, we compared three long-term fundamental frequency estimates -mean, median and base value -with respect to how fast they approach a stable value, as a function of language, speaking style and speaker. The base value concept was developed in search for an f0 value which should be invariant under prosodic variation. It has since also been tested in forensic phonetics as a possible speaker-specific f0 value. Data used in this study -recorded speech by male and female speakers in seven languages and three speaking styles, spontaneous, phrase reading and word list reading -had been recorded for a previous project. Average stabilisation times for the mean, median and base value are 9.76, 9.67 and 8.01 s. Base values stabilise significantly faster. Languages differ in both average and variability of the stabilisation times. Values range from 7.14 to 11.41 (mean), 7.5 to 11.33 (median) and 6.74 to 9.34 (base value). Spontaneous speech yields the most variable stabilisation times for the three estimators in Italian and Swedish, for the median in French and Portuguese and base value in German. Speakers within each language do not differ significantly in terms of stabilisation time variability for the three estimators.

“…At the start, we stated that one of the goals in this article is to bring together the two lines of research we described. This is done by reanalyzing a speech corpus that has already been studied by Arantes and Linhares (2017) with the purpose of finding evidence for the effect of speaking style on f0. In that study, the authors found the effects by looking at differences in a set of measures of central tendency and variability of f0.…”

Section: Introductionmentioning

confidence: 99%

Effects of speaking style on the shape of fundamental frequency distributions

2021

RAbralin

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The present study has two main goals. The first is to describe the effects of three speaking styles (spontaneous interview, sentence reading and word list reading) on statistical estimators of fundamental frequency (f0) variability (mean, standard deviation, skewness and kurtosis) in five female and five male speakers of Brazilian Portuguese (BP). Most f0 contours of word reading are bimodal. Analysis of their time-normalized contours suggests this is caused by the time-compressed realization of fast transitions from low to high or high to low tones aligned with stressed syllables. Considering only unimodal distributions, results show that there are no statistically significant effects in the male data for any of the four variability estimators. Effects show up in female data. Spontaneous style has statistically significant higher mean, SD and skewness than read speech. Findings in the previous literature indicate the reverse pattern, though, for languages other than BP. The second goal of the study is to characterize the statistical properties of f0 distributions beyond mean and SD. Results confirm previous observations that most f0 distributions have positive skewness, are left-tailed and have kurtosis values that deviate significantly from the normal because of large deviations from the central or modal value. A distribution fitting procedure tested six distributions. The asymmetric Burr type XII distribution emerges as the one that best fits the data in the corpus. Results show that two of the parameters that determine its shape correlate well with the empirical f0 distribution values of SD and skewness. Important effects of speaking style on f0 seen in female speakers can be reproduced by combinations of the Burr distributions’ parameters.