This paper aims at assessing the automatic labeling of an undocumented, unknown, unwritten and under-resourced language (Mo Piu) of the North Vietnam, by an expert phonetician. In the previous stage of the work, 7 sets of languages were chosen among Mandarin, Vietnamese, Khmer, English, French, to compete in order to select the best models of languages to be used for the phonetic labeling of Mo Piu isolated words. Two sets of languages (1° Mandarin + French, 2° Vietnamese + French) which got the best scores showed an additional distribution of their results. Our aim is now to study this distribution more precisely and more extensively, in order to statistically select the best models of languages and among them, the best sets of phonetic units which minimize the wrong phonetic automatic labeling.

This paper presents MISTRAL+, the upgraded version of an automatic tool created in 2004 named INTSMEL then MELISM. Since MELISM, the entire process has been modified in order to simplify and enhance the study of languages. MISTRAL+ is a combinaison of two modules: a Praat plugin MISTRAL_Praat, and MISTRAL_xls. For specific corpora, it performs phonological annotation based on the F0 variation in prominent words, but also in any chunk of speech, prominent or not. So this tool while being specialized can also be used as a generic one. Now among others, new functionalities allow to use API symbols while labeling, and to provide a semi-automatic melodic annotation in the frame of tonal languages. The program contains several functions which compute target points (or significant points) to model F0 contour, perform automatic annotation of different shapes and export all data in an xls file. In a first part of this paper, the MISTRAL+ functionalities will be described, and in a second part, an example of application will be presented about a study of the Mo Piu endangered language in the frame of the MICA Au Co Project.