Speech and Speaker Recognition
At our lab, automatic speech recognition research is focused around front-end processing for robust speech recognition (noise reduction, voice activity detection, blind source separation, and speech quality assessment). Our algorithms have been tested in various ASR contexts, from command&control applications on embedded devices in industrial environments (SNOW) and air traffic control (ATCOSIM), to large vocabulary dictation systems (COAST-ROBUST). Furthermore, we provide state-of-the-art academic recognition setups for German and English research
databases such as SpeechDat-II, TIMIT, or the Wall Street Journal Database (WSJ0).
With regard to our activities in the field of source separation and localization, our main interest is currently on distant speech recognition with single- and multi-channel recording conditions. Similarly, we provide expertise on single-channel narrow-band speaker recognition/verification.