Teaching

Collection of read papers

Papers : notion notes

Papers : Papers index

Directed Theses

Directed Theses

2023

Automatic Music Composition in Symbolic Format with Deep Neural Networks. Student: María Iriarte Bernal.
Grado en Ingeniería de Telecomunicaciones. Grade ??/10.0

Drums Generation with Transformer-based Models. Student: Sergio Ferraz Laplana.
Grado en Ingeniería de Telecomunicaciones. Grade 9.0/10.0

Detection of Boiling in Liquids on an Induction Hob using Acoustic Analysis and Artificial Intelligence. Student: Carlota Laborda Basa.
Grado en Ingeniería de Telecomunicaciones. Grade 8.0/10.0

2022

Music composition with transformer-based models. Student: Sonia Rubio Llamas.
Grado en Ingeniería de Telecomunicaciones. Grade 9.0/10.0

Harmonic analysis of MIDI files. Student: Jorge Bajén.
Grado en Ingeniería de Tecnologías Industriales. Grade 8.5/10.0

Instruments classification with deep learning. Student: Santiago Pallarés.
Grado en Ingeniería de Telecomunicaciones. Grade 8.75/10.0

Source separation and music transcription with deep learning. Student: Pablo Castillón Ruiz.
Grado en Ingeniería Electrónica. Grade 8.5/10.0

Study of deep learning-based techniques for music composition. Student: Jorge Abadías Puyuelo.
Grado en Ingeniería de Tecnologías Industriales. Grade 9.0/10.0

2021

Source separation and music transcription with deep learning. Student: Carlos Hernández López.
Grado en Ingeniería Electrónica. Grade 9.2/10.0 Honorary Distinction

Source separation and music transcription with deep learning. Student: Ignacio Zay Pinilla.
Grado en Ingeniería de Telecomunicaciones. Grade 8.5/10.0

Resources

Resources

Deep Learning (DL)

Courses

Free
Coursera


Deep Learning Specialization Program (Coursera: DeepLearning.AI)
    1. Neural Networks and Deep Learning
    2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    3. Structuring Machine Learning Projects
    4. Convolutional Neural Networks
    5. Sequence Models
Language Processing Specialization Program (Coursera: DeepLearning.AI)
    1. NLP with Classification and Vector Spaces
    2. NLP with Probabilistic Models
    3. NLP with Sequence Models
    4. NLP with Attention Models

Recommended Books

[1] Russell, S. J. (2010). Artificial intelligence a modern approach. Pearson Education, Inc. [PDF]
[2] Bishop, C. M. (2006). Machine learning and pattern recognition. Information science and statistics. Springer, Heidelberg. [PDF]
[3] Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT press. [Web]
[4] Chollet, F. (2021). Deep learning with Python. Simon and Schuster. [Notebooks]

Music Information Retrieval (MIR)

Python Libraries

Librosa [Docs] [GitHub] [Paper]
Essentia [Web] [Paper]

Recommended Books

[1] Müller, M. (2015). Fundamentals of music processing: Audio, analysis, algorithms, applications. Springer.
[2] Lerch, A. (2012). An introduction to audio content analysis: Applications in signal processing and music informatics. Wiley-IEEE Press.

Where to Publish

Journals

    JAES: Journal of the Audio Engineering Society [Web]
    JCMS: Journal of Creative Music Systems [Web]
    TIMSMIR: Transactions of the International Society for Music Information Retrieval [Web]
    NMR: Journal of New Music Research [Web]
    Elsevier: Signal Processing [Web]
    MSSP Elsevier: Multidimensional Systems and Signal Processing [Web]
    EURASIP Springer: Journal on Advances in Signal Processing [Web]
    IEEE MultiMedia [Web]
    Springer: Multimedia Tools and Applications [Web]
    IEEE/ACM Transactions on Audio, Speech, and Language Processing [Web]
Conferences

    ISMIR: International Society for Music Information Retrieval [Web]
    ICLR: International Conference on Learning Representations [Web]
    ICASSP: International Conference on Acoustics, Speech and Signal Processing [Web 2021]
    AIMC/MuMe/CSMC: Conference on AI Music Creativity [Web]
    DAFx: International Conference on Digital Audio Effects [Web]
    AAAI: Association for the Advancement of Artificial Intelligence [Web]
    IJCAI: International Joint Conferences on Artificial Intelligence Organization [Web]
Workshops

    EvoMUSART: International Conference on Artificial Intelligence in Music, Sound, Art and Design [Web]
    NeurIPS Creativity Workshop: Machine Learning for Creativity and Design [Web 2021]
    AIART: IEEE Workshop on Artificial Intelligence for Art Creation [Web 2021]