For the brain’s outstanding visual recognition performance, a brain’s clever choice of visual features with which the brain comprehend the world is supposedly essential. We propose a method to deduce such visual features from the multi-dimensional brain activity data and to use them to construct a high-performance visual recognition algorithm. Keywords—Visual Recognition Algorithm, Brain Activi...

In telephone speech recognition, the acoustic mismatch between training and testing environments often causes a severe degradation in the recognition performance. This paper presents a keyword-driven two-level codebook-based stochastic matching (CBSM) algorithm to eliminate the acoustic mismatch. Additionally, in Mandarin speech, it is dicult to correctly recognize the unvoiced part in a sylla...

Usually the speech and the silence models are trained together depending upon the type of recognition task. For example, if the recognition task is only on connected-digits then the corresponding digit models are built using only the connected-digit training corpus. Similarly for large-vocabulary recognition tasks, the subword or the phoneme models are generated using only the subword training ...