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Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends
BW Schuller - Communications of the ACM, 2018 - dl.acm.org
Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends Page
1 90 COMMUNICATIONS OF THE ACM | MAY 2018 | VOL. 61 | NO. 5 review articles ILL US …
1 90 COMMUNICATIONS OF THE ACM | MAY 2018 | VOL. 61 | NO. 5 review articles ILL US …
An overview of affective speech synthesis and conversion in the deep learning era
Speech is the fundamental mode of human communication, and its synthesis has long been
a core priority in human–computer interaction research. In recent years, machines have …
a core priority in human–computer interaction research. In recent years, machines have …
Speech emotion classification using attention-based LSTM
Automatic speech emotion recognition has been a research hotspot in the field of human-
computer interaction over the past decade. However, due to the lack of research on the …
computer interaction over the past decade. However, due to the lack of research on the …
The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different
problems for the first time in a research competition under well-defined conditions: In the …
problems for the first time in a research competition under well-defined conditions: In the …
Multimodal emotion recognition on RAVDESS dataset using transfer learning
Emotion Recognition is attracting the attention of the research community due to the multiple
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …
A proposal for multimodal emotion recognition using aural transformers and action units on ravdess dataset
Emotion recognition is attracting the attention of the research community due to its multiple
applications in different fields, such as medicine or autonomous driving. In this paper, we …
applications in different fields, such as medicine or autonomous driving. In this paper, we …
[PDF][PDF] The INTERSPEECH 2016 computational paralinguistics challenge: deception, sincerity and native language
Abstract The INTERSPEECH 2016 Computational Paralinguistics Challenge addresses
three different problems for the first time in research competition under well-defined …
three different problems for the first time in research competition under well-defined …
[PDF][PDF] The INTERSPEECH 2013 computational paralinguistics challenge: Social signals, conflict, emotion, autism
Abstract The INTERSPEECH 2013 Computational Paralinguistics Challenge provides for
the first time a unified test-bed for Social Signals such as laughter in speech. It further …
the first time a unified test-bed for Social Signals such as laughter in speech. It further …
An assessment of paralinguistic acoustic features for detection of Alzheimer's dementia in spontaneous speech
Speech analysis could provide an indicator of Alzheimer's disease and help develop clinical
tools for automatically detecting and monitoring disease progression. While previous studies …
tools for automatically detecting and monitoring disease progression. While previous studies …
Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction
The two-layer fuzzy multiple random forest (TLFMRF) is proposed for speech emotion
recognition. When recognizing speech emotion, there are usually some problems. One is …
recognition. When recognizing speech emotion, there are usually some problems. One is …