The Master thesis from the Sound and Music Computing Master finished in the year 2014-2015 are now available online.

• Sá Pinto, A. Automatic Semantic Characterization of Drum Sounds.
• Novillo Villegas, P. Content-preserving reconstruction of Electronic Music Sessions using freely available musical building-blocks.
• Gupta, S. Discovery of Percussion Patterns from Tabla Solo Recordings.
• Özer, S. F0 Modeling For Singing Voice Synthesizers with LSTM Recurrent Neural Networks.
• Ruano Gullón, L. Hearing damage in pop/rock musicians: assessment of their rehearsal environment.
• Parekh, S. Improving Audio Retrieval through Content and Metadata Categorization.
• Plata Rueda, Á. Measurement and computational model of the maximum stable gain in acoustic feedback scenarios.
• Porcaro, L. Modeling Lemur vocalizations from a signal processing perspective.
• Pons, J. Music remixing using source separation to improve cochlear implant users music perception.
• Suárez, A. M. Reducing Bias in the Probabilistic Evaluation of Audio Music Similarity.
• Lizarraga, X. Sound Source Localization for Enhancement of Orchestral Music for Multi-Sensor Recordings.
• Expósito Pérez, M. Study of Daily Noise Exposure to Avoid Hearing Loss in Musicians.
• Capó Clar, F. Western classical composer identification using symbolic data.