17 citations · 28 across the 6 of their papers we have counts for
6 papers
Comparison of Speech Representations for the MOS Prediction System
Aki Kunikoshi, Jaebok Kim, Wonsuk Jun +1
Automatic methods to predict Mean Opinion Score (MOS) of listeners have been researched to assure the quality of Text-to-Speech systems. Many previous studies focus on architectura…
Data-augmented cross-lingual synthesis in a teacher-student framework
Marcel de Korte, Jaebok Kim, Aki Kunikoshi +2
Cross-lingual synthesis can be defined as the task of letting a speaker generate fluent synthetic speech in another language. This is a challenging task, and resulting speech can s…
Efficient neural speech synthesis for low-resource languages through multilingual modeling
Marcel de Korte, Jaebok Kim, Esther Klabbers
Recent advances in neural TTS have led to models that can produce high-quality synthetic speech. However, these models typically require large amounts of training data, which can m…
Planning Based System for Child-Robot Interaction in Dynamic Play Environments
Vicky Charisi, Bram Ridder, Jaebok Kim +1
This paper describes the initial steps towards the design of a robotic system that intends to perform actions autonomously in a naturalistic play environment. At the same time it a…
Learning spectro-temporal features with 3D CNNs for speech emotion recognition
Jaebok Kim, Khiet P. Truong, Gwenn Englebienne +1
In this paper, we propose to use deep 3-dimensional convolutional networks (3D CNNs) in order to address the challenge of modelling spectro-temporal dynamics for speech emotion rec…
Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning
Jaebok Kim, Gwenn Englebienne, Khiet P. Truong +1
One of the challenges in Speech Emotion Recognition (SER) "in the wild" is the large mismatch between training and test data (e.g. speakers and tasks). In order to improve the gene…