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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

LANGUAGE AS A PERFORMANCE PARAMETER: THE MARCEL BITSCH <i>VINGT ETUDES</i>

Duke, Evan Benjamin 01 January 2012 (has links)
The Bitsch Vingt Études are a significant part of the trumpet performers repertoire. They are taught in many university trumpet studios across the United States. David Baldwin, professor of trumpet at the University of Minnesota, has recorded all of them for the International Trumpet Guild. The editor, Raymond Sabarich, is considered the founder of the modern French school of trumpet playing. Articulation is a significant component in performing on a brass instrument. By varying the attacks of the tongue, different timbres can be successfully achieved on the trumpet. Because of the volume the trumpet can generate, any defective articulation will be more noticeable. Articulation is for the brass player what consonants are for the singer—successful execution is imperative or a lack of clarity results. One major problem in teaching the Bitsch etudes is the lack of attention paid to French pronunciation. The musical ideas in these etudes (melodies, articulation, phrasing, etc.) were conceived by a Frenchman. While fluency in French is not a prerequisite for successful performance of these works, understanding the basics of French pronunciation and how they influence French articulation is essential. In order to properly perform the Marcel Bitsch Vingt Études, the trumpeter needs to modify his or her tonguing in accordance with the rules of French pronunciation. The different components of articulation will be discussed, after which the impact of language in recorded performance will be examined. Finally, selected compositions from the Marcel Bitsch Vingt Études will be analyzed, with recommendations for articulation being given for each work.
2

Speech Recognition Software for Language Learning: Toward an Evaluation of Validity and Student Perceptions

Cordier, Deborah 14 July 2009 (has links)
A renewed focus on foreign language (FL) learning and speech for communication has resulted in computer-assisted language learning (CALL) software developed with Automatic Speech Recognition (ASR). ASR features for FL pronunciation (Lafford, 2004) are functional components of CALL designs used for FL teaching and learning. The ASR features available with the TeLL me More French software provides pronunciation, intonation and speaking practice and feedback. ASR features are examined quantitatively through French student performance of recorded ASR-scored speech and compared with human raters of the same produced speech samples. A comparison of ASR scores to human raters considers the validity of ASR-scored feedback for individualized and FL classroom instruction. Qualitative analyses of student performances and perceptions of ASR are evaluated using an online survey linked to individual pronunciations and performance and examined for positive impact (Chapelle, 2001) and usability.

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