AVA: An Interactive System for Visual and Quantitative Analyses of Vibrato and Portamento Performance Styles
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چکیده
Vibratos and portamenti are important expressive features for characterizing performance style on instruments capable of continuous pitch variation such as strings and voice. Accurate study of these features is impeded by time consuming manual annotations. We present AVA, an interactive tool for automated detection, analysis, and visualization of vibratos and portamenti. The system implements a Filter Diagonalization Method (FDM)-based and a Hidden Markov Model-based method for vibrato and portamento detection. Vibrato parameters are reported directly from the FDM, and portamento parameters are given by the best fit Logistic Model. The graphical user interface (GUI) allows the user to edit the detection results, to view each vibrato or portamento, and to read the output parameters. The entire set of results can also be written to a text file for further statistical analysis. Applications of AVA include music summarization, similarity assessment, music learning, and musicological analysis. We demonstrate AVA’s utility by using it to analyze vibratos and portamenti in solo performances of two Beijing opera roles and two string instruments, erhu and violin.
منابع مشابه
AVA: A Graphical User Interface for Automatic Vibrato and Portamento Detection and Analysis
Musicians are able to create different expressive performances of the same piece of music by varying expressive features. It is challenging to mathematically model and represent musical expressivity in a general manner. Vibrato and portamento are two important expressive features in singing, as well as in string, woodwind, and brass instrumental playing. We present AVA, an off-line system for a...
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تاریخ انتشار 2016