Spain

ECAI 2020

End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks

end-to-end learning

speech emotion recognition

deep neural network

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Unsupervised Learning of Interpretable Dialog Models

NASS: Optimizing Secure Inference via Neural Architecture Search

A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction

Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation

QuantumWeighted Model Counting

A Variant of Recurrent Entity Networks for Targeted Aspect-Based Sentiment Analysis

Leveraging Human Prior Knowledge to Learn Sense Representations

Secure Social Recommendation based on Secret Sharing

Understanding and Training Deep Diagonal Circulant Neural Networks

Harmonic Recurrent Process for Time Series Forecasting

https://d3smihljt9218e.cloudfront.net/transcript/1014/subtitle/91e748c9bfef08a83bcf8652bf26b5b6.vtt

English (automatic)

End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks

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Unsupervised Learning of Interpretable Dialog Models

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End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks

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Next from ECAI 2020

Unsupervised Learning of Interpretable Dialog Models

Similar lecture

Training Meta-Surrogate Model for Transferable Adversarial Attack

Downloads