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Updated: Sep 19, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

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检查语音基于维度的统计学习中的可变性和概括性:发音位置的情况

Jeremy Steffman1, Minxuan He1, Seb Segger-Staveley1

  • 1The University of Edinburgh, Edinburgh, Scotlandjeremy.steffman@ed.ac.uk, minxuanhe2000@outlook.com, ssegger@ed.ac.uk.

JASA express letters
|June 17, 2025
PubMed
概括

对于F0和语音发声时间线索的语音感知中的统计学习是特定的. 这项研究发现,学习不会在不同的发音位置进行概括,即使有不同的刺激和设计.

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques08:05

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Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
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Generalization, Discrimination, and Extinction

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A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
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