This paper presents real-time adaptation of alarm detection models in a remote health monitoring system based on user feedback. Real-time adaptation enables systems to fine-tune to the needs and preferences of the user and changes in the environment. This way, the system performance is improved in terms of technical accuracy and subjective user wishes. Two types of alarm detection models were u...

Objective to present a guide with recommendations for translation, adaptation, elaboration and process of validation of tests in Speech and Language Pathology. Methods the recommendations were based on international guidelines with a focus on the elaboration, translation, cross-cultural adaptation and validation process of tests. Results the recommendations were grouped into two Charts, one...

In this paper we describe system architectures for robust MLLR based environmental adaptation of continuous speech recognition systems. Inspired by an existing broadcast news transcription system [1] we refined the identification of acoustic scenarios by using a combined GMM/HMM method. Thus environmental adaptation regarding arbitrary acoustic scenarios beyond speaker changes becomes possible....

We present FLORS, a new part-of-speech tagger for domain adaptation. FLORS uses robust representations that work especially well for unknown words and for known words with unseen tags. FLORS is simpler and faster than previous domain adaptation methods, yet it has significantly better accuracy than several baselines.

In this paper, we investigate the effects and problems of MLLR speaker adaptation when applied to pronunciation evaluation. Automatic scoring and error detection experiments are conducted on two publicly available databases of Japanese learners’ English pronunciation. As we expected, overadaptation causes misjudge of pronunciation accuracy. Following these experiments, two novel methods, Forced...

In this paper, we describe the BBN BYBLOS system used for the 1999 Hub-4E 10xRT evaluation benchmark, and discuss the improvements made to the system in 1999. We focus on the techniques that were new in this year’s system to achieve an optimal tradeoff between accuracy and speed for the evaluation benchmark test. Overall, we improved the recognition accuracy on the 1998 Hub-4E evaluation test b...

While OOV is always a problem for most languages in ASR, in the Chinese case the problem can be avoided by utilizing character n-grams and moderate performances can be obtained. However, character ngram has its own limitation and proper addition of new words can increase the ASR performance. Here we propose a discriminative lexicon adaptation approach for improved character accuracy, which not ...

A main advantage of unstructured meshes, i.e., tetrahedral meshes, is their flexibility for generating elements with large shape and size variations everywhere in the domain. Moreover, an adequate adaptation of the mesh impacts favorably numerical schemes. Consequently, an automatic process to control the mesh generation is of main importance. This document describes a goal-oriented anisotropic...