Speech Synthesis along Perceptual Voice Quality Dimensions
F. Rautenberg, M. Kuhlmann, F. Seebauer, J. Wiechmann, P. Wagner, R. Haeb-Umbach, in: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2025.

Synthesizing Speech with Selected Perceptual Voice Qualities – A Case Study with Creaky Voice
F. Rautenberg, F. Seebauer, J. Wiechmann, M. Kuhlmann, P. Wagner, R. Haeb-Umbach, in: Interspeech 2025, ISCA, 2025.

Towards Frame-level Quality Predictions of Synthetic Speech
M. Kuhlmann, F. Seebauer, P. Wagner, R. Häb-Umbach, in: Interspeech 2025, ISCA, 2025.

Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder
Y. Xie, M. Kuhlmann, F. Rautenberg, Z.-H. Tan, R. Häb-Umbach, in: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024, pp. 436–440.

On Feature Importance and Interpretability of Speaker Representations
F. Rautenberg, M. Kuhlmann, J. Wiechmann, F. Seebauer, P. Wagner, R. Haeb-Umbach, in: ITG Conference on Speech Communication, 2023.

Re-examining the quality dimensions of synthetic speech
F. Seebauer, M. Kuhlmann, R. Haeb-Umbach, P. Wagner, in: 12th Speech Synthesis Workshop (SSW) 2023, 2023.

Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics
F. Rautenberg, M. Kuhlmann, J. Ebbers, J. Wiechmann, F. Seebauer, P. Wagner, R. Haeb-Umbach, in: Fortschritte Der Akustik - DAGA 2023, 2023, pp. 1409–1412.

DISCERNING DIMENSIONS OF QUALITY FOR STATE OF THE ART SYNTHETIC SPEECH
F. Seebauer, M. Kuhlmann, R. Häb-Umbach, P. Wagner, in: Proceedings of the 20th International Congress of Phonetic Sciences, 2023.

Investigating Speaker Embedding Disentanglement on Natural Read Speech
M. Kuhlmann, A. Meise, F. Seebauer, P. Wagner, R. Häb-Umbach, in: Speech Communication; 15th ITG Conference, 2023, pp. 121–125.

Investigation into Target Speaking Rate Adaptation for Voice Conversion
M. Kuhlmann, F. Seebauer, J. Ebbers, P. Wagner, R. Haeb-Umbach, in: Interspeech 2022, ISCA, 2022.

Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations
J. Ebbers, M. Kuhlmann, T. Cord-Landwehr, R. Haeb-Umbach, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3860–3864.