A topic dependent class (TDC) language model (LM) is a topic-based LM that uses a semantic extraction method to reveal latent topic information from noun-document relation. Then a clustering for a given context is per...
详细信息
A topic dependent class (TDC) [1] language model (LM) is a topic-based LM that uses a semantic extraction method to reveal latent topic information from nouns relation. Then a clustering for a given context is perform...
详细信息
In this paper, we present an effective covariance tracking algorithm based on adaptive size changing of tracking window. Recent researches have advocated the use of a covariance matrix of object image features for tra...
详细信息
This paper proposes a digital image watermarking based on adaptive models of human visual perception. The algorithm exploits the local activities estimated from wavelet coefficients of each subband to adaptively contr...
详细信息
Feedback delays are inherent attributes of distributed control systems that usually cause unfavorable effect on the stability of the controlled process. Modelling of such systems is essential for traceable controller ...
详细信息
The Digital Video Broadcasting second generation Terrestrial (DVB-T2)standard purposes to provide high definition digital video and high rate services forthe same spectrum allocation of the current Digital Video Broad...
详细信息
In haptic and telemanipulation devices stability and transparency are contradicting requirements. Due to the network delay the control process may become unstable. In our research we consider the coupled impedance typ...
详细信息
An important function of wireless networks is to support mobile computing. Mobile Ad hoc NETworks (MANETs) consist of a collection of mobile stations communicating with each other without the use of any pre-existent i...
详细信息
As a result of improvements in wireless communication technologies, a multimedia data streaming service can be provided for mobile clients such as PDAs and cellular phones. Because mobile devices have low computing po...
详细信息
A topic dependent class (TDC) language model (LM) is a topic-based LM that uses a semantic extraction method to reveal latent topic information from noun-document relation. Then a clustering for a given context is per...
详细信息
A topic dependent class (TDC) language model (LM) is a topic-based LM that uses a semantic extraction method to reveal latent topic information from noun-document relation. Then a clustering for a given context is performed to define topics. Finally, a fixed window of word history is observed to decide the topic of the current event through voting in online manner. Previously, we have shown that TDC overperforms several state-of-the-art baselines in terms of perplexity. In this paper we evaluate TDC on automatic speech recognition experiment (ASR) for rescoring task. Experiments on read speech Wall Street Journal (English ASR system) and Mainichi Shimbun (Japanese ASR system) show that TDC LM improves both perplexity and word-error-rate (WER). The result shows that the proposed model gives improvements 3.0% relative on perplexity and 15.2% relative on WER for English ASR system, and 16.4% relative on perplexity and 24.3% relative on WER for Japanese ASR system.
暂无评论