Linear Systems

To undestand the fundamentals of music digital processing and its relationship with human perception and cognition. To understand the representations and description methods of the fundamental aspects or facets of music (pitch, temporal, harmonic, timbral, editorial, textual and bibliographic). To understand basic music processing methods (audio effects, gender and instrumental classification, source separation, singing-voice processing, transcription, synthesis, composition, etc.) To understand the basics of music search, retrieval and access to musical content. To understand user profiling methods for personalized music recomendation. To design and implement music retrieval and recommendation systems.

CB1: Students have demonstrated possession and understanding of knowledge in an area of study that builds on the foundation of general secondary education, and is usually at a level that, while relying on advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study. CB2: Students are able to apply their knowledge to their work or vocation in a professional manner and possess the competences usually demonstrated through the development and defence of arguments and problem solving within their field of study. CG3: Knowledge of basic and technological subject areas which enable acquisition of new methods and technologies, as well as endowing the technical engineer with the versatility necessary to adapt to any new situation. RA1: To acquire the knowledge and understanding of the general basic fundamentals of engineering, as well as, in particular, of multimedia communications networks and services, audio and video signal processing, room acoustic control, distributed multimedia systems and interactive multimedia applications specific to Sound and Image Engineering within the telecommunications family. RA5: Be competent to apply the knowledge acquired to solve problems and design audiovisual networks and services, to configure their devices, as well as to deploy adaptive, personal audiovisual applications and services on them, bringing network intelligence to the value for the user, maximising the potential of multimedia networks and services in the different social and economic spheres, knowing the environmental, commercial and industrial implications of the practice of engineering in accordance with professional ethics.

Unit 0. Fundamentals of Digital Music Processing. Perception and Cognition. Unit 1. Music description and interpretation. Unit 2. Methods for music processing. Unit 3. Music Information Retrieval. Unit 4. User Profiling and music recommendation.

The following learning activities and methodologies are employed: Combined master and lab classes, flipped classes and final project. Teachers are available during 2 hours per week for office hours. Combined master and lab clases (2 ECTS): Master classes provide an overview of the main theoretical & mathematical concepts of the representation and processing of music along with the analytic tools employed for indexing and accessing to music contents and for the profiling and automatic recommendation of music. In these classes, lab examples will be introduced as part of the theoretical expositions: all the formative sessions (lab availability provided) will take place in the lab to imbricate practical examples within the explanations to add dynamism to the class. This is also beneficial to solve different background issues given the possibility to access this subject from all the degrees from the Telecommunications family. Moreover, every unit will begin with a debate of its technological implications. For this purpose, flipped classroom methodologies will be employed. In particular, students will be provided with some selected videos in advance to motivate the debate together with a list of questions (sometimes controversial) that the instructor will not answer categorically to encourage discussions. In this way, we expect to awake the curiosity of the student on the materials that will be subsequently explained. FINAL PROJECT (1 ECTS) Students will work on a project in which they will program a complete modular system of one of the tools explained in class (sound effects, musical gender or instrument classification, sound separation, singing voice processing, transcription, synthesis, composition, music information retrieval and recommendation). The students will be provided with some guidelines and some preparatory sessions by using problema-based learning.