Deviations of acoustic low-level descriptors in speech features of a set of triplets, one with autism

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2018.8513289 ◽

2018 ◽

Cited By ~ 1

Author(s):

Hasini Yatawatte ◽

Christian Poellabauer ◽

Sandra Schneider ◽

Susan Latham

Keyword(s):

Low Level ◽

Speech Features

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Evaluating Low-Level Speech Features Against Human Perceptual Data

Transactions of the Association for Computational Linguistics ◽

10.1162/tacl_a_00071 ◽

2017 ◽

Vol 5 ◽

pp. 425-440 ◽

Cited By ~ 2

Author(s):

Caitlin Richter ◽

Naomi H. Feldman ◽

Harini Salgado ◽

Aren Jansen

Keyword(s):

Speech Perception ◽

Cognitive Model ◽

Human Perception ◽

Speaker Normalization ◽

Low Level ◽

Human Data ◽

Normalization Methods ◽

Speech Features ◽

New Framework ◽

Better Than

We introduce a method for measuring the correspondence between low-level speech features and human perception, using a cognitive model of speech perception implemented directly on speech recordings. We evaluate two speaker normalization techniques using this method and find that in both cases, speech features that are normalized across speakers predict human data better than unnormalized speech features, consistent with previous research. Results further reveal differences across normalization methods in how well each predicts human data. This work provides a new framework for evaluating low-level representations of speech on their match to human perception, and lays the groundwork for creating more ecologically valid models of speech perception.

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Improving Automatic Affect Recognition on Low-Level Speech Features in Intelligent Tutoring Systems

Design for Teaching and Learning in a Networked World - Lecture Notes in Computer Science ◽

10.1007/978-3-319-24258-3_13 ◽

2015 ◽

pp. 169-182

Author(s):

Ruth Janning ◽

Carlotta Schatten ◽

Lars Schmidt-Thieme

Keyword(s):

Intelligent Tutoring Systems ◽

Intelligent Tutoring ◽

Affect Recognition ◽

Tutoring Systems ◽

Low Level ◽

Speech Features

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Tryptophan-Niacin Metabolism in Rat with Puromycin Aminonucleoside-Induced Nephrosis

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831.76.1.28 ◽

2006 ◽

Vol 76 (1) ◽

pp. 28-33 ◽

Cited By ~ 7

Author(s):

Yukari Egashira ◽

Shin Nagaki ◽

Hiroo Sanada

Keyword(s):

Body Weight ◽

Urinary Excretion ◽

Enzyme Activities ◽

Treated Group ◽

Control Group ◽

Puromycin Aminonucleoside ◽

Low Level ◽

Key Enzyme

We investigated the change of tryptophan-niacin metabolism in rats with puromycin aminonucleoside PAN-induced nephrosis, the mechanisms responsible for their change of urinary excretion of nicotinamide and its metabolites, and the role of the kidney in tryptophan-niacin conversion. PAN-treated rats were intraperitoneally injected once with a 1.0% (w/v) solution of PAN at a dose of 100 mg/kg body weight. The collection of 24-hour urine was conducted 8 days after PAN injection. Daily urinary excretion of nicotinamide and its metabolites, liver and blood NAD, and key enzyme activities of tryptophan-niacin metabolism were determined. In PAN-treated rats, the sum of urinary excretion of nicotinamide and its metabolites was significantly lower compared with controls. The kidneyα-amino-β-carboxymuconate-ε-semialdehyde decarboxylase (ACMSD) activity in the PAN-treated group was significantly decreased by 50%, compared with the control group. Although kidney ACMSD activity was reduced, the conversion of tryptophan to niacin tended to be lower in the PAN-treated rats. A decrease in urinary excretion of niacin and the conversion of tryptophan to niacin in nephrotic rats may contribute to a low level of blood tryptophan. The role of kidney ACMSD activity may be minimal concerning tryptophan-niacin conversion under this experimental condition.

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