Author:
Baird Alice,Song Meishu,Schuller Björn
Publisher
Springer International Publishing
Reference61 articles.
1. Amiriparian, S., Freitag, M., Cummins, N., Gerzcuk, M., Pugachevskiy, S., Schuller, B.W.: A fusion of deep convolutional generative adversarial networks and sequence to sequence autoencoders for acoustic scene classification. In: Proceedings of 26th European Signal Processing Conference (EUSIPCO), EURASIP, pp. 982–986. IEEE, Rome (2018)
2. Baird, A., Amiriparian, S., Berschneider, M., Schmitt, M., Schuller, B.: Predicting blood volume pulse and skin conductance from speech: introducing a novel database and results. In: Proceedings IEEE 21st International Workshop on Multimedia Signal Processing, MMSP 2019, 5 pages. IEEE, Kuala Lumpur, September 2019
3. Baird, A., et al.: Using speech to predict sequentially measured cortisol levels during a trier social stress test. In: Proceedings Interspeech 2019, pp. 534–538 (2019)
4. Baird, A., Amiriparian, S., Schuller, B.: Can deep generative audio be emotional? Towards an approach for personalised emotional audio generation. In: Proceedings IEEE 21st International Workshop on Multimedia Signal Processing, MMSP 2019, 5 pages. IEEE, Kuala Lumpur, September 2019
5. Baird, A., Parada-Cabaleiro, E., Fraser, C., Hantke, S., Schuller, B.: The perceived emotion of isolated synthetic audio: the emosynth dataset and results. In: Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, p. 7. ACM (2018)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献