Denoising autoencoder is applied to reverberant speech recognition as a noise robust front-end
to reconstruct clean speech spectrum from noisy input. In order to capture context effects …

The vector space model (VSM) is a conventional information retrieval model, which represents
a document collection by a term-by-document matrix. Since term-by-document matrices …

This paper presents expressions for the waveforms and design equations to satisfy the ZVS/ZDS
conditions in the class-E power amplifier, taking into account the MOSFET gate-to-drain …

This paper presents algorithms for topic analysis of news articles. Topic analysis entails
category classification and topic discovery and classification. Dealing with news has special …

This paper introduces an evaluation framework for Japanese noisy speech recognition
named AURORA-2J. Speech recognition systems must still be improved to be robust to noisy …

Full comprehension of language comes about by understanding the meaning and the emotion
behind the communication. Understanding the meaning of language is the goal of natural …

In sign language, hand positions and movements represent meaning of words. Hence, we
have been developing sign language recognition methods using both of hand positions and …

Wind noise affects the quality of the speech recording in the field. In this paper, we propose
a wind noise reduction method based on a signal processing technique. In the method, …

In recent years, several methods on human emotion recognition have been published. In this
paper, we proposed a scheme that applied the emotion classification technique for emotion …

Voice activity detection (VAD) plays an important role in speech processing including speech
recognition, speech enhancement, and speech coding under noisy environments. We …