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Unrecognized one-lung intubations (also known as main-stem intubation) can lead to hypoventilation, atelectasis, barotrauma, and even patient death. Many traditional methods can be employed to detect one-lung intubation; however, each of these methods has limitations and is not consistently reliable in emergency settings. This study aimed to assess the accuracy and timeliness of ultrasound to confirm...
This paper considers training data selection for discriminative training of acoustic models for large vocabulary continuous speech recognition (LVCSR). Three novel data selection approaches are proposed. First, the average phone accuracy over all hypothesized word sequences in the word lattice of a training utterance is utilized for utterance-level data selection. Second, phone-level data selection...
This paper considers training data selection for discriminative training of acoustic models for broadcast news speech recognition. Three novel data selection approaches were proposed. First, the average phone accuracy over all hypothesized word sequences in the word lattice of a training utterance was utilized for utterance-level data selection. Second, phone-level data selection based on the difference...
This paper considers minimum phone error (MPE) based discriminative training of acoustic models for Mandarin broadcast news recognition. A novel data selection approach based on the normalized frame-level entropy of Gaussian posterior probabilities obtained from the word lattice of the training utterance was explored. It has the merit of making the training algorithm focus much more on the training...
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