Felix Weninger
Papers
2
Total Citations
285
H-Index
2
About
Felix Weninger is a leading researcher in computational paralinguistics and affective computing, with a core focus on the acoustic analysis of emotion in speech, music, and environmental sound. His seminal work, "On the Acoustics of Emotion in Audio," which has garnered over 277 citations, established a foundational framework demonstrating that emotional information is universally embedded in nearly all sound signals received by humans—from the affective state in speech to the intended emotion in musical performance. This contribution has been pivotal in advancing the field of audio-based emotion recognition, bridging gaps between speech, music, and general sound analysis. Weninger has also made notable contributions to child-robot interaction, particularly in his study on recognizing non-prototypical emotions in children’s speech within reverberated environments. His work addresses the critical challenge of deploying robust affect recognition systems in real-world, noisy settings, such as those encountered during human-robot interaction. Through these efforts, Weninger has significantly shaped how machines interpret human emotional cues from audio, with lasting impact on interactive technologies and affective computing systems.
Research Focus
Key Achievements
Top Papers
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