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Tardón-García, Lorenzo José Sammartino, Simone Barbancho-Pérez, Isabel 2024-09-26T10:35:36Z 2024-09-26T10:35:36Z 2010-01 Tardón, L. J., Sammartino, S., & Barbancho, I. (2010). Design of an efficient music-speech discriminator. In The Journal of the Acoustical Society of America (Vol. 127, Issue 1, pp. 271–279). Acoustical Society of America (ASA). https://doi.org/10.1121/1.3257204 https://hdl.handle.net/10630/33434 10.1121/1.3257204 In this paper, the problem of the design of a simple and efficient music-speech discriminator for large audio data sets in which advanced music playing techniques are taught and voice and music are intrinsically interleaved is addressed. In the process, a number of features used in speech-music discrimination are defined and evaluated over the available data set. Specifically, the data set contains pieces of classical music played with different and unspecified instruments or even lyrics and the voice of a teacher a top music performer or even the overlapped voice of the translator and other persons. After an initial test of the performance of the features implemented, a selection process is started, which takes into account the type of classifier selected beforehand, to achieve good discrimination performance and computational efficiency, as shown in the experiments. The discrimination application has been defined and tested on a large data set supplied by Fundación Albéniz, containing a large variety of classical music pieces played with different instrument, which include comments and speeches of famous performers. eng open access Archivos audiovisuales Design of an efficient music-speech discriminator journal article