A review of generalizable transfer learning in automatic emotion recognition
Automatic emotion recognition is the process of identifying human emotion from signals
such as facial expression, speech, and text. Collecting and labeling such signals is often …
such as facial expression, speech, and text. Collecting and labeling such signals is often …
[PDF][PDF] The INTERSPEECH 2010 paralinguistic challenge
Most paralinguistic analysis tasks are lacking agreed-upon evaluation procedures and
comparability, in contrast to more 'traditional'disciplines in speech analysis. The …
comparability, in contrast to more 'traditional'disciplines in speech analysis. The …
Toward gender-inclusive coreference resolution
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systemic biases in coreference …
about those people. Such inferences raise the risk of systemic biases in coreference …
Paralinguistics in speech and language—state-of-the-art and the challenge
Paralinguistic analysis is increasingly turning into a mainstream topic in speech and
language processing. This article aims to provide a broad overview of the constantly …
language processing. This article aims to provide a broad overview of the constantly …
Multimodal age and gender estimation for adaptive human-robot interaction: A systematic literature review
Identifying the gender of a person and his age by way of speaking is considered a crucial
task in computer vision. It is a very important and active research topic with many areas of …
task in computer vision. It is a very important and active research topic with many areas of …
Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits
This study focuses on feature selection in paralinguistic analysis and presents recently
developed supervised and unsupervised methods for feature subset selection and feature …
developed supervised and unsupervised methods for feature subset selection and feature …
[PDF][PDF] The interspeech 2012 speaker trait challenge
Abstract The INTERSPEECH 2012 Speaker Trait Challenge provides for the first time a
unified test-bed for 'perceived'speaker traits: Personality in the five OCEAN personality …
unified test-bed for 'perceived'speaker traits: Personality in the five OCEAN personality …
Convolutional RNN: an enhanced model for extracting features from sequential data
Traditional convolutional layers extract features from patches of data by applying a non-
linearity on an affine function of the input. We propose a model that enhances this feature …
linearity on an affine function of the input. We propose a model that enhances this feature …
Audibert: A deep transfer learning multimodal classification framework for depression screening
Depression is a leading cause of disability with tremendous socioeconomic costs. In spite of
early detection being crucial to improving prognosis, this mental illness remains largely …
early detection being crucial to improving prognosis, this mental illness remains largely …
Toward gender-inclusive coreference resolution: An analysis of gender and bias throughout the machine learning lifecycle
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systematic biases in coreference …
about those people. Such inferences raise the risk of systematic biases in coreference …