Un artículo muy interesante de Esther Paniagua sobre la creatividad computacional donde comento que un algoritmo de generación de sonido o música puede ser creativo por sí mismo y generar material musical interesante, complementando la creatividad humana. El artículo incluye muchos ejemplos interesantes de arte creado por algoritmos y de opiniones sobre si las máquinas pueden crear. Pues sí, es una realidad!
Tag Archives: music
A los seres humanos siempre nos quedará la creatividad, una máquina no puede crear ¿mito o realidad?
I am honored to be keynote speaker at a joint workshop on Machine Learning for Music that will take place this summer in Stockholm. I spent part of my PhD in KTH in Stockholm and it became one of my favourite places, so it is always great to visit. T
In my keynote, I presented some current research of our lab on the analysis and synthesis of singing. In particular, we summarized some recent advances on a set of tasks related to the processing of singing using state-of-the-art deep learning techniques. We discussed their achievements in terms of accuracy and sound quality, and the current challenges, such as availability of data and computing resources. We also discussed the impact that these advances do and will have on listeners and singers when they are integrated in commercial applications.
There is paper related to this research which can be found in arxiv.
Very informative and thoughtful opening remarks from @emiliagogu at FAIM (https://t.co/DEsAoE6oZY). What will be the impacts on musicians as we begin to perfect music generation? #ICML2018 pic.twitter.com/CAsljtL5ql
— James Owers (@jamesowers) July 14, 2018
Las December I had the chance to virtually meet Tara Chklovski, who is the CEO of Iridescent Learning, a science education nonprofit organization in the United States.
Their mission, according to their website, is “to empower the world´s underrepresented young people, especially girls, through engineering and technology to become innovators and leader”.
They just launched (with AAAI, a leading organization in Artificial Intelligence) — the first, global Curiosity Machine AI Family Challenge – a two-stage competition for 20,000 underserved 3rd-8th grade students and parents (especially mothers) to use AI technologies and tools (sensors, data analysis tools) to solve problems in their communities (along the tracks of health, energy, food, transportation, education, public safety and civic engagement).
Of course, I thought: “what a wonderful mission and challenges!” How can I help? So she proposed me to do an interview where I could provide my thoughts on AI and its impact, targeting this particular audience.
It took me some weeks to complete it, as I have been very busy moving to another city, but I managed to answer the questions I hope in an interesting way. I hope this can also help to disseminate our research community, ISMIR, and its efforts to increase inclusion and variety, WiMIR, which I am very proud to contribute to.
I hope you like the interview, which can be found here.
Hoy en el programa de Radio Clásica, Longitud de Onda
#LDOnda explicaré cuál ha sido el proceso de elaboración de “Hello world“, que según sus creadores es el primer álbum creado por inteligencia artificial.
Noticia en la web de la UPF sobre el nuevo proyecto HUMAINT
Podéis leerla aquí.
Aprovechando las vacaciones, he hecho una lista todos los programas de Longitud de Onda, espacio de Radio Clásica, en donde he tenido la suerte de colaborar. Ha sido una gran experiencia donde he aprendido mucho sobre divulgación científica y cómo hablar por la radio, lo cual no es uno de mis fuertes. Creo que se nota bastante el cambio entre el primer y el último programa, así que ¡gracias a Yolanda y Fernando por la confianza!.
¡Aquí los tenéis!
A late post about an amazing event. As pointed out in their website, there is no scape from the expansion of information! Yes, we need strategies for structuring, visualizing and locating what you need.
I have been getting more and more interested on the role of music visualization. There has been a large amount of research within the Music Information Retrieval (MIR) field intended to extract meaningful descriptions from music in audio format, to compute similarity between music pieces and to classify them according to semantic concepts such as mood, style or preference. However, less effort has been devoted to investigate which are the best strategies to present, in a visual way, this information to users with different profiles (e.g. expert musicians and people with no theoretical musical knowledge) and in different contexts (e.g. music listening or education). The main challenges are to provide intuitive visualizations of large music collections, to present information related to different temporal scales (from real-time to global descriptors), and to combine descriptions related to different musical facets such as score, rhythm, tonality or instrumentation.
I had the chance to be invited as a speaker to a workshop on knowledge order an science. In this talk I presented some of our approaches to music visualization in terms of tonality, dynamics, tempo, structure, mood and music preference. I also discussed how these approaches are being considered in the PHENICX project to enrich live music concert performances in classical music. I also wanted to discuss about the need of multi-scale, personalized and adaptive representations of music collections.
It was a great event, and you can find on the web the abstracts of the different presentations and the slides. There is also here a summary of the workshop. It was an enriching multi-disciplinary experience, I was happy to see more women than is usually in tech events and now I have the chance to be part of this COST action and great community. Let me illustrate that with a figure from Agustin Martorell’s thesis.