We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
This paper introduces a method to train an error-corrective model for Automatic Speech Recognition (ASR) without using audio data. In existing techniques, it is assumed that sufï¬...
Mobile devices will become an important platform for Internet access. Due to size constraints, in many circumstances speech is the most desirable mode of input. We have developed ...
Research on EEG based brain-computer-interfaces (BCIs) aims at steering devices by thought. Even for simple applications, BCIs require an extremely effective data processing to wo...
Christian Liefhold, Moritz Grosse-Wentrup, Klaus G...
Looking at practical application scenarios of speech recognition systems several distortion effects exist that have a major influence on the speech signal and can considerably det...