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Found 13 papers, 8 papers with code
AVAB-DBS: an Audio-Visual Affect Bursts Database for Synthesis
It has been shown that adding expressivity and emotional expressions to an agent{'}s communication systems would improve the interaction quality between this agent and a human user.
Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces
The 11th Summer Workshop on Multimodal Interfaces eNTERFACE 2015 was hosted by the Numediart Institute of Creative Technologies of the University of Mons from August 10th to September 2015.
ASR-based Features for Emotion Recognition: A Transfer Learning Approach
During the last decade, the applications of signal processing have drastically improved with deep learning.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems
In this paper, we present a database of emotional speech intended to be open-sourced and used for synthesis and generation purpose.
Exploring Transfer Learning for Low Resource Emotional TTS
During the last few years, spoken language technologies have known a big improvement thanks to Deep Learning.
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis
The field of Text-to-Speech has experienced huge improvements last years benefiting from deep learning techniques.
The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach
Finally, we focus on the last one, with the last techniques modeling Text-to-Speech synthesis as a sequence-to-sequence problem.
Laughter Synthesis: Combining Seq2seq modeling with Transfer Learning
Despite the growing interest for expressive speech synthesis, synthesis of nonverbal expressions is an under-explored area.
ICE-Talk: an Interface for a Controllable Expressive Talking Machine
ICE-Talk is an open source web-based GUI that allows the use of a TTS system with controllable parameters via a text field and a clickable 2D plot.
Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system
In this paper, we study the controllability of an Expressive TTS system trained on a dataset for a continuous control.
Deep learning-based stereo camera multi-video synchronization
Stereo vision is essential for many applications.
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Deploying large language models (LLMs) of several billion parameters can be impractical in most industrial use cases due to constraints such as cost, latency limitations, and hardware accessibility.
A New Perspective on Smiling and Laughter Detection: Intensity Levels Matter
We also present an in-depth analysis of the behavior of these models on the smiles and laughs intensity levels.
