Learn More
BACKGROUND Demyelinating lesions over 20 mm in size, referred to as tumefactive demyelinating lesions, can be misdiagnosed as being either a tumor or an abscess. Although some radiological characteristics can help make a differential diagnosis easier, a cerebral biopsy may still be necessary. OBJECTIVE Our objective was to assess the clinical(More)
The results from applying an improved algorithm in the task of automatic segmentation of spontaneoustelephone quality speechare presented, and compared to the results from those resulting from superimposing white noise. Three segmentation algorithms are compared which are all based on variants of the Spectral Variation Function. Experimental results are(More)
We present a large vocabulary, continuous speech recognition system based on Linked Predictive Neural Networks (LPNN’s). The system is a straightforward extension, from isolated to continuous speech, of the LPNN system presented last year. The system uses neural networks as predictors of speech frames, yielding distortion measures which can be used by the(More)
The detection rate of liver lesions using ultrasonography is 53-77%, rendering this method inferior to CT and MRI. Despite well-known limitations, development of stable second-generation contrast agents in conjunction with new techniques of contrast display has led to increased diagnostic accuracy. Characterization of focal liver lesions with ultrasound(More)
This paper reports on results from ongoing research on languageidentification (LID) performed on the three languages: AmericanEnglish, German and Spanish. The speech material used is from the Oregon Graduate Institute Spontaneous Telephone Speech Corpus, OGI_TS. The baseline LID-system consists of three parallel phoneme recognisers each of which are(More)
Slovenian language is among the richest Slavic languages in view of the number of dialects. More than 40 dialects in seven dialect groups can be found on a territory of about 21,000 km2 and population of 2 million. Given the richness of influencing factors on the Standard Slovenian language we decided to undertake an acoustic analysis of its contemporary(More)
We present a large vocabulary, continuous speech recognition system based on Linked Predictive Neural Networks (LPNN's). The system uses neural networks as predictors of speech frames, yielding distortion measures which are used by the One Stage DTW algorithm to perform continuous speech recognition. The system, already deployed in a Speech to Speech(More)
We present a context-dependent, phoneme and function word based, Hidden Control Neural Network (HCNNCDF) architecture for continuous speech recognition. The system can be seen as a large vocabulary extension of the wordbased HCNN system proposed by Levin in 1990. Initially, we analysed context-/ndependent HCNN modeling principle in the framework of the(More)
The main motivation for this project was to study performance of non-linear speech analysis methods in automatic speech recognition. Specifically, we selected wavelet transform as a promising non-linear tool for signal analysis that has been already successfully applied in many tasks, such as in image recognition and compression leading to standards such as(More)