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We measure the effects of a weak language model, estimated from as little as 100k words of text, on unsupervised acoustic model training and then explore the best method of using word confidences to estimate n-gram counts for unsupervised language model training. Even with 100k words of text and 10 hours of training data, unsupervised acoustic modeling is robust, with 50% of the gain recovered when...
The use of the PC and Internet for placing telephone calls will present new opportunities to capture vast amounts of un-transcribed speech for a particular speaker. This paper investigates how to best exploit this data for speaker-dependent speech recognition. Supervised and unsupervised experiments in acoustic model and language model adaptation are presented. Using one hour of automatically transcribed...
A new super-resolution algorithm for time delay estimation (TDE) of multipath propagation signals base on least square criterion was proposed. The idea was to decompose the observed data into their signal components and then to estimate the amplitude and time delay of each signal components separately, using cubic slpline interpolation and basing on least square criterion. The algorithm iterated back...
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