Automatic Emotion Modelling in Written Stories

1 code implementation • 21 Dec 2022 • Lukas Christ, Shahin Amiriparian, Manuel Milling, Ilhan Aslan, Björn W. Schuller

Telling stories is an integral part of human communication which can evoke emotions and influence the affective states of the audience.

An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion

no code implementations • 29 Mar 2022 • Zijiang Yang, Xin Jing, Andreas Triantafyllopoulos, Meishu Song, Ilhan Aslan, Björn W. Schuller

Emotional voice conversion (EVC) focuses on converting a speech utterance from a source to a target emotion; it can thus be a key enabling technology for human-computer interaction applications and beyond.

Voice Conversion

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

no code implementations • 20 Apr 2021 • Shahin Amiriparian, Artem Sokolov, Ilhan Aslan, Lukas Christ, Maurice Gerczuk, Tobias Hübner, Dmitry Lamanov, Manuel Milling, Sandra Ottl, Ilya Poduremennykh, Evgeniy Shuranov, Björn W. Schuller

Text encodings from automatic speech recognition (ASR) transcripts and audio representations have shown promise in speech emotion recognition (SER) ever since.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Towards Tool-Support for Interactive-Machine Learning Applications in the Android Ecosystem

no code implementations • 27 Mar 2021 • Muhammad Mehran Sunny, Moritz Berghofer, Ilhan Aslan

We believe that there is a need for tool-support for AI engineers to address the challenges of implementing, testing, and deploying machine learning models for a next generation of smart interactive consumer applications.

BIG-bench Machine Learning