In this work we investigate the usage of TV audio data for cross-language training of multi-lingual acoustic models. We intend to take advantage from the availability of a training speech corpus formed by parallel news uttered in different languages and transmitted over separated audio channels. Spanish, French and Russian phone Hidden Markov Models (HMMs) are bootstrapped using an unsupervised...

BACKGROUND Massive resources are expended every year on cross-cultural communication training for physicians. Such training is a focus of continuing medical education nationwide and is part of the curriculum of virtually every medical school in America. There is a pressing need for evidence regarding the effects on patients of cross-cultural communication training for physicians. There is a nee...

Cross validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the overtting (\early stopping"). The exact criterion used for cross validation based early stopping, however, is chosen in an ad-hoc fashion by most researchers or training is stopped interactively. To aid a more well-founded selecti...

the genetics and mechanism of malathion resistance in the adults of an. stephensi (ban-s), was studied. nine successive generations of malathion selection in the adults resulted in an increase in ltso of about 3-fold. the crossing experiments indicated that the resistance is inherited as partially dominant character with no indication of sex linkage. the results of back-crosses suggested that p...

The Scanning N-Tuple classifier (SNT) was introduced by Lucas and Amiri [1, 2] as an efficient and accurate classifier for chaincoded hand-written digits. The SNT operates as speeds of tens of thousands of sequences per second, during both the training and the recognition phases. The main contribution of this paper is to present a new discriminative training rule for the SNT. Two versions of th...

Cross validation can be used to detect when overfitting starts during supervised training of a neural network; training is then stopped before convergence to avoid the overfitting ('early stopping'). The exact criterion used for cross validation based early stopping, however, is chosen in an ad-hoc fashion by most researchers or training is stopped interactively. To aid a more well-founded sele...

Ottawa's Carleton University cancelled a February blood-donor clinic after the Red Cross failed to hold sensitivity-training sessions for its volunteers. The sessions were requested after students complained that the organization's screening procedures are insensitive and offend gay students. The Red Cross maintains that rigorous screening, including questions about high-risk sexual behaviour, ...