Recognition of emotional speech with convolutional neural networks by means of spectral estimates. - Norman Weißkirchen; Ronald Böck; Andreas Wendemuth (ACII Workshops, 2017)

Significance of Feature Differences in the Distinction of Mental-Load. - Norman Weißkirchen; Ronald Böck; Andreas Wendemuth; Andreas Nürnberger (SMC, 2018)

Employing Bottleneck and Convolutional Features for Speech-Based Physical Load Detection on Limited Data Amounts. - Olga Egorow; Tarik Mrech; Norman Weißkirchen; Andreas Wendemuth (INTERSPEECH, 2019)

Towards True Artificial Peers. - Norman Weißkirchen; Ronald Böck; Andreas Wendemuth (ICHMS, 2020)

Utilizing Computer Vision Algorithms to Detect and Describe Local Features in Images for Emotion Recognition from Speech. - Norman Weißkirchen; Mainampati Vasudeva Reddy; Andreas Wendemuth; Ingo Siegert (ICHMS, 2020)

Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework. - Ingo Siegert; Norman Weißkirchen; Julia Krüger; Oleg Akhtiamov; Andreas Wendemuth (Cogn. Syst. Res., 2021)

Acoustic-Based Automatic Addressee Detection for Technical Systems: A Review. - Ingo Siegert; Norman Weißkirchen; Andreas Wendemuth (Frontiers Comput. Sci., 2022)

Behaviour of True Artificial Peers. - Norman Weißkirchen; Ronald Böck (Multimodal Technol. Interact., 2022)