Publications

Age Classification: Comparison of Human vs Machine Performance in Prompted and Spontaneous Speech, Proc. ESSV, 2021, PDF

Acoustic Correlates of Likable Speakers in the NSC Database, in book: Voice Attractiveness, Studies on Sexy, Likable, and Charismatic Speakers, DOI: 10.1007/978-981-15-6627-1_13, 2020

How should Pepper Sound - Preliminary Investigations on Robot Vocalizations, Proc. of the ESSV 2019, 2019, PDF

Speech Synthesizing Simultaneous Emotion-Related States, Proc. of the Specom 2018, 2018, PDF

The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech, Proc. Interspeech, 2018

Robust Speech Emotion Recognition Under Different Encoding Conditions. Proc. Interspeech 2019, 3935-3939.

Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement. Proc. Interspeech 2019, 1691-1695.

Towards Speech Robustness for Acoustic Scene Classification. Proc. Interspeech 2020, 3087-3091.

Spoken Language Identification by Means of Acosutic Mid-level Descriptors. Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020, 125-132.

Vergleich verschiedener Machine-Learning Ansätze zur kontinuierlichen Schätzung von perzeptivem Sprechtempo, In: Birkholz, P., Stone, S. (Eds.): Elektronische Sprachverarbeitung. Studientexte zur Sprachkommunikation 93, pp 164-169, TUDpress, Dresden

Filled pause detection by prosodic discontinuity features, In: Birkholz, P., Stone, S. (Eds.): Elektronische Sprachverarbeitung. Studientexte zur Sprachkommunikation 93, pp 272-279, TUDpress, Dresden

“audEERING’s approach to the One-Minute-Gradual Emotion Challenge,” arXiv preprint arXiv:1805.01222

in Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Vol. 10713, p. 11, Springer

“Emotion-awareness for intelligent vehicle assistants: a research agenda,” in Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems, pp. 11-15, ACM

“Robust Laughter Detection for Wearable Wellbeing Sensing,” in Proceedings of the 2018 International Conference on Digital Health, pp. 156-157, ACM

“Deep neural networks for anger detection from real life speech data,” in Proc. of 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), pp. 1-6, IEEE

“Deep recurrent neural network-based autoencoders for acoustic novelty detection,” in Computational intelligence and neuroscience, 2017

“Did you laugh enough today? – Deep Neural Networks for Mobile and Wearable Laughter Trackers,” in Proc. Interspeech 2017, pp. 2044-2045

“Automatic speaker analysis 2.0: Hearing the bigger picture,” in Proc. of 2017 International Conference onSpeech Technology and Human-Computer Dialogue (SpeD), pp. 1-6, IEEE

“Seeking the SuperStar: Automatic assessment of perceived singing quality,” in Proc. of 2017 International Joint Conference on Neural Networks (IJCNN), pp. 1560-1569, IEEE

“Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data,” in Proc. 2017 AES International Conference on Semantic Audio

“The effect of personality trait, age, and gender on the performance of automatic speech valence recognition,” in Proc. 7th biannual Conference on Affective Computing and Intelligent Interaction (ACII 2017), San Antonio, Texas, AAAC, IEEE, October 2017

“Automatic Multi-lingual Arousal Detection from Voice Applied to Real Product Testing Applications,” in Proc. 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, LA, IEEE

“Real-time Tracking of Speakers’ Emotions, States, and Traits on Mobile Platforms,” in Proc. INTERSPEECH 2016, San Francisco, Califorina, USA, pp. 1182-1183

“A Paralinguistic Approach To Speaker Diarisation: Using Age, Gender, Voice Likability and Personality Traits,” in Proc. 2017 ACM Conference on Multimedia, Mountain View, California, USA, pp. 387-392