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Toplam kayıt 5, listelenen: 1-5
Video-based emotion recognition in the wild using deep transfer learning and score fusion
(Elsevier, 2017)
Multimodal recognition of affective states is a difficult problem, unless the recording conditions are carefully controlled. For recognition in the wild, large variances in face pose and illumination, cluttered backgrounds, ...
Efficient and effective strategies for cross-corpus acoustic emotion recognition
(Elsevier, 2018)
An important research direction in speech technology is robust cross-corpus and cross-language emotion recognition. In this paper, we propose computationally efficient and performance effective feature normalization ...
Predicting CO and NOx emissions from gas turbines: novel data and a benchmark PEMS
(Tubitak Scientific & Technical Research Council Turkey, 2019)
Predictive emission monitoring systems (PEMS) are important tools for validation and backing up of costly continuous emission monitoring systems used in gas-turbine-based power plants. Their implementation relies on the ...
Emotion, age, and gender classification in children's speech by humans and machines
(Academic Press Ltd- Elsevier Science Ltd, 2017)
In this article, we present the first child emotional speech corpus in Russian, called EmoChildRu, collected from 3 to 7 years old children. The base corpus includes over 20 K recordings (approx. 30 h), collected from 120 ...
Modeling short-term and long-term dependencies of the speech signal for paralinguistic emotion classification
(St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 2019)
Recently, Speech Emotion Recognition (SER) has become an important research topic of affective computing. It is a difficult problem, where some of the greatest challenges lie in the feature selection and representation ...