Master thesis from SMC Master 2012-2013
Master thesis from SMC Master 2012-2013
06.10.2013
The Master thesis from the Sound and Music Computing Master finished in the year 2012-2013 are now available online.
- Dabiri, D. Analyzing clickthrough data to evaluate Freesound retrieval quality.
- Kroher, N. Automatic Characterization of Flamenco Singing by Analyzing Audio Recordings.
- Meseguer, G. Automatic content-based detection of influences in the history of Progressive Rock Music.
- Morelli, F. The bad and the good singer: query tuning analysis for audio to audio Query by Humming.
- Chen, K. Characterization of Pitch Intonation of Beijing Opera.
- Oliveira, A. A customizable, multi-parametric auditory display technique for theta-alpha neurofeedback training.
- Forteza, M. An EEG-based Emotion-driven Music Control System.
- Floría, H. Expressive speech synthesis for a Radio DJ using Vocaloid and HMM's.
- Chen, J. Gesture Analysis and Recognition of Bow-Stringed Instruments using Motion Capture System Qualisys.
- Jewalikar, V. Improving automatic phonetic segmentation for creating singing voice synthesizer corpora.
- López, J. Informed Source Separation for Multiple Instruments of Similar Timbre.
- Pilaszanovich, J. Integrating an Automatic Tonal Expert Agent into a Real-time Music Environment.
- Navarro, F. L. Life Soundtrack Recovery for Alzheimer’s disease patients.
- Valero, J. J. Measuring Similarity of Automatically Extracted Melodic Pitch Contours for Audio-based Query by Humming of Polyphonic Music Collections.
- Giné, E. A methodology for audio ingestion, restoration and analysis in the sound archiving field.
- Clouth, R. Mobile Augmented Reality as a Control Mode for Real-time Music Systems.
- Marley, W. Processing an Instrumental Gesture in the Reactable as a Method of Computer Improvisation.
- Parra, H. Study of reverberation robust pitch estimators for the singing voice.
- Baez, R. V. Using infra-red motion capture data to measure the bow pressing force in bowed string instruments.