| ANIR Corpus |
 The "ANIR" (Automotive Noise and Impulse Responses) corpus allows investigating automotive speech and audio processing. Currently, impulse responses are measured from different sources (mouth loudspeakers, car loudspeakers) to different sinks (ear microphones, in-car microphones). Additionally, several driving conditions (standstill, slow and fast speed) are recorded in terms of noise examples. Details ... |
| SPID Corpus |
 The "SPID" (SPontaneous In-car Dialogues) corpus allows investigating - for the first time ever - the communication between speakers inside a driving car and the Lombard effect that emerges at different driving speeds. Currently, speech recordings are made in order to analyze the effects of an in-car-communication (ICC) system on speech production at different driving noise levels. Details ... |
| SUMS Corpus |
 The "SUMS" (Speech Under Multiple Stressors) corpus allows investigating the effects of multiple stressors to speech. This corpus addresses the questions on which basis and in which way all the different stress types shine through and combine in the acoustic speech signal. We used several stressors that form a taxonomy of stress factors. Pink noise served as an external stressor. A further stress factor, cognitive load, was created by asking quiz questions. Details ... |
Two chair members, Eric Elzenheimer and Christian Kanarski, were honored for their excellent theses. First, Eric received the award for the best PhD thesis of the Faculty of Engineering on May, 25th. Our president, Simone Fulda, presented Eric with the certificate at the Kiel Kunsthalle and acknowledged his great achievement.