![]() However, one major drawback of these approaches is their opacity, as they do not provide results explanation and they do not allow prior knowledge integration. These methods mainly use majority or weighted voting to integrate the results of the classifiers. For that purpose, methods such as Bagging and Boosting are used. These models have been widely used to improve classification performance of a single classifier. One solution is to exploit these measurements and integrate them into Electronic Health Records by Machine Learning algorithms.In this work, we focused on ensemble learning methods that combine several machine learning algorithms for classification. Wahlster, W.: Smartweb: Mobile applications of the semantic web.Hypertension is known to be one of the leading causes of heart disease and stroke, killing around 7.5 million people worldwide every year, mostly because of its late diagnosis.In order to confirm the diagnosis of Hypertension, it is necessary to collect repeated medical measurements. Steffen, A., Draxler, C., Baumann, A., Schmidt, S.: Aufbau einer Datenbank mit Jugendsprache. FIPKM report #35, Institut für Phonetik und Sprachliche Kommunikation, Universität München (1997) Schiel, F., Burger, S., Geumann, A., Weilhammer, K.: The Partitur Format at BAS. American Journal of Speech-Language Pathology 5, 5–14 (1996) In: Proceedings of LREC, Gran Canaria (2002) Ma, X., Lee, H., Bird, S., Maeda, K.: Models and tools for collaborative annotation. Technical report, National Institute for Standards and Technology (2003) Laprun, C., Fiscus, J., Garofolo, J., Pajot, S.: Recent improvements to the ATLAS architecture. of European Conference on Speech Technology, Edinburgh (1987) Huckvale, M., Brookes, D., Dworkin, L., Johnson, M., Pearce, D., Whitaker, L.: The SPAR speech filing system. Höge, H., Draxler, C., van den Heuvel, H., Johansen, F., Sanders, E., Tropf, H.: Speech- Dat Multilingual Speech Databases for Teleservices: Across the Finish Line. In: Proceedings of LREC 2004, Lisbon (2004) Conference on Language Resources and Evaluation, Lisbon (2004)Įllbogen, T., Schiel, F., Steffen, A.: The BITS speech synthesis corpus for german. In: Proceedings of LREC, Granada (1998)ĭraxler, C., Jänsch, K.: Speechrecorder–a universal platform independent multi-channel audiorecording software. Speech Communication, 61–77 (2001)ĭraxler, C.: of Eurospeech, Rhodes (1997)ĭraxler, C.: WWWSigTranscribe – a Java Extension of the WWWTranscribe Toolbox. In: Proceedings of SST 1996, Adelaide (1996)Ĭassidy, S., Harrington, J.: Multi-level annotation in the emu speech database management system. In: Proceedings of LREC (2004)Ĭassidy, S., Harrington, J.: Emu: an enhanced speech data management system. 1083–1087 (1998)Ĭampbell, N.: Speech & expression: the value of a longitudinal corpus. on Language Resources and Evaluation, Granada, pp. Technical Report Technical Report 132, Institute of Phonetic Sciences of the University of Amsterdam (1996)īurger, S., Schiel, F.: RVG 1 – A Database for Regional Variants of Contemporary German. Speech Communication 33(1,2), 23–60 (2001)īoersma, P., Weenink, D.: Praat, a system for doing phonetics by computer. Speech Communication 33 (2001)īird, S., Liberman, M.: A Formal Framework for Linguistic Annotation. This process is experimental and the keywords may be updated as the learning algorithm improves.īarras, C., Geoffrois, E., Wu, Z., Liberman, M.: Transcriber: development and use of a tool for assisting speech corpora production. These keywords were added by machine and not by the authors. WebTranscribe has been used in numerous projects at BAS and has reached a mature state now. A configuration file determines which plug-ins to use for a given annotation project. An annotation configuration generally consists of an editor, editing buttons, a signal display and a quality assessment panel. ![]() The annotation capabilities are determined by annotation editors, implemented as plug-ins to the general framework. The framework implements a “select – annotate – save” annotation workflow. The framework consists of an annotation editor front-end running as a Java Web Start application on a client computer, and a DBMS on a server. WebTranscribe is a platform independent and extensible web-based annotation framework for speech research and spoken language technology.
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