Diseño e implementación de un taller de teatro musical en Educación Primaria

[SPA] Las disciplinas artísticas siempre han sido un campo tan beneficioso como poco utilizado en educación. En esta propuesta de taller de teatro musical en educación primaria se ha indagado en el mundo de la pedagogía teatral y su relación con la música y el juego como técnicas de transmisión de valores y desarrollo de aprendizajes. La puesta en práctica mediante el diseño e implementación de un taller por parte del mediador ha logrado que los alumnos muestren avances significativos en diversos campos como el autoconocimiento corporal o el descubrimiento de nuevos géneros musicales, además de favorecer a la dinámica grupal dentro y fuera del taller. De cara al futuro, este proceso ha abierto las puertas a nuevas propuestas en el ámbito de la dramatización infantil así como al interés formativo del propio educador.

Music-Theoretic Estimation of Chords and Keys from Audio

This paper proposes a new method for local key and chord estimation from audio signals. This method relies primarily on principles from music theory, and does not require any training on a corpus of labelled audio files. A harmonic content of the musical piece is first extracted by computing a set of chroma vectors. A set of chord/key pairs is selected for every frame by correlation with fixed chord and key templates. An acyclic harmonic graph is constructed with these pairs as vertices, using a musical distance to weigh its edges. Finally, the sequences of chords and keys are obtained by finding the best path in the graph using dynamic programming. The proposed method allows a mutual chord and key estimation. It is evaluated on a corpus composed of Beatles songs for both the local key estimation and chord recognition tasks, as well as a larger corpus composed of songs taken from the Billboard dataset.

Bertso transformation with pattern-based sampling

This paper presents a method to generate new melodies, based on conserving the semiotic structure of a template piece. A pattern discovery algorithm is applied to a template piece to extract significant segments: those that are repeated and those that are transposed in the piece. Two strategies are combined to describe the semiotic coherence structure of the template piece: inter-segment coherence and intra-segment coherence. Once the structure is described it is used as a template for new musical content that is generated using a statistical model created from a corpus of bertso melodies and iteratively improved using a stochastic optimization method. Results show that the method presented here effectively describes a coherence structure of a piece by discovering repetition and transposition relations between segments, and also by representing the relations among notes within the segments. For bertso generation the method correctly conserves all intra and inter-segment coherence of the template, and the optimization method produces coherent generated melodies.