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), GRASS.
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.