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The random noises caused by different devices in the process of X-ray imaging make images degraded, which results in incomplete or even incorrect medical diagnoses. The image pre-processing is the primary procedure of digital X-ray imaging device. Due to the features of X-ray medical image, the temporal recursive filter can be used, whose filtering(More)
In this paper we evaluate the WER improvement from modeling pronunciation probabilities and word-specific silence probabilities in speech recognition. We do this in the context of Finite State Transducer (FST)-based decoding, where pronunciation and silence probabilities are encoded in the lexicon (L) transducer. We describe a novel way to model(More)
Several consumer speech devices feature voice interfaces that perform on-device keyword spotting to initiate user interactions. Accurate on-device keyword spotting within a tight CPU budget is crucial for such devices. Motivated by this, we investigated two ways to improve deep neural network (DNN) acoustic models for keyword spotting without increasing CPU(More)
Digital libraries have emerged as an important research and application field, and been facilitated by advances in information technology, such as the World Wide Web. The scale and diversity of documents and information of digital libraries are immense, which are often stored with different formats. Therefore research in digital libraries has generally(More)
The breakdown of Dennard scaling has made computing energy limited and therefore restricts the performance and brings rise to dark silicon. To effectively leverage the advantage of increased number of transistors and alleviate the dark silicon problem, designers consider a set of design paradigms in the processor manufacturing. Among those, Near - Threshold(More)
Extreme Learning Machine has the quality of fast learning speed, good generalization performance, and high diagnostic accuracy. For analog circuit fault diagnosis and health management (PHM) applications, this paper presents the method of online sequential learning machine with differential evolution algorithm to optimize Extreme Learning Machine and(More)