Near lossless coding of sparse histogram images based on zero-skip quantization

Multimedia Tools and Applications - This paper introduces a zero-skip quantization (ZS.Q) scheme for the near lossless coding of sparse histogram images. Increases in the range of pixel values and...     

SPEECH UNDERSTANDING BASED ON KEYWORD EXTRACTION AND RELATIONS BETWEEN WORDS

In this paper, we propose a method for speech understanding using a corpus. First, the method extracts keywords from an N-best list of speech recognizer output. This process employs two measures: a confidence measure of speech recognizer output and an association probability between words. Next, the method uses dependencies between keywords in a corpus. Finally, it evaluates relations (tagged labels) of the dependencies. Our method obtained high accuracy as compared with a method with only the confidence measure of the speech understanding module. The results show the effectiveness of the proposed method.