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Automatic Question Detection from Acoustic and Phonetic Features Using Feature-wise Pre-training.

, , , , , and . INTERSPEECH, page 1731-1735. ISCA, (2018)

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Speech Emotion Recognition in Real Environments using Characteristics of Emotional Expression and Perception.. Nagoya University, Japan, (2021)OnDA-DETR: Online Domain Adaptation for Detection Transformers with Self-Training Framework., , , , , and . ICIP, page 1780-1785. IEEE, (2023)Speaker Age Estimation Using Age-Dependent Insensitive Loss., , , , , and . APSIPA, page 319-324. IEEE, (2020)Neural Dialogue Context Online End-of-Turn Detection., , , , , and . SIGDIAL Conference, page 224-228. Association for Computational Linguistics, (2018)Speech Emotion Recognition Based on Multi-Label Emotion Existence Model., , , , and . INTERSPEECH, page 2818-2822. ISCA, (2019)Improving Conversation-Context Language Models with Multiple Spoken Language Understanding Models., , , , , , and . INTERSPEECH, page 834-838. ISCA, (2019)Interactive Co-Learning with Cross-Modal Transformer for Audio-Visual Emotion Recognition., , , , , and . INTERSPEECH, page 4740-4744. ISCA, (2022)Interaction and Transition Model for Speech Emotion Recognition in Dialogue., , , and . INTERSPEECH, page 1094-1097. ISCA, (2017)Speaker recognition in duration-mismatched condition using bootstrapped i-vectors., , , and . APSIPA, page 1-4. IEEE, (2016)Hierarchical LSTMs with Joint Learning for Estimating Customer Satisfaction from Contact Center Calls., , , , and . INTERSPEECH, page 1716-1720. ISCA, (2017)