Matt Kuhn PhD的动态

EMBODIED HUMAN-COMPUTER INTERACTION IN VOCAL MUSIC PERFORMANCE, Springer Series on Cultural Computing Book Publication 2023 still up-to-date! This book explores the interaction between humans and computers in live vocal music performances. Franziska Baumann proposes a framework that combines embodied and mediated voices through gestural communication using sensor interfaces. Based on the creative process of music-making, it discusses the blurred boundaries between the human voice and the computationally manipulated voice. The book sheds light on issues such as vocal identity and persona references, interfaces as a black box, and the meaning of the body in the electrified space of vocal expression. She highlights the creative potential for mapping strategies and the development of an individual ergo-mimetic language for human-computer interaction. more info: https://lnkd.in/ePd9SHHz ISBN: 978-3-031-17984-6 https://lnkd.in/eEG_AFj3 #human-computer-interaction #vocalmusicperformance #culture #vocalresearch #embodiedhumancomputerperformance #art #artscience #springerlondon #experimentalvoice #experimentalsound #voice #sound

Music??, Heart?? & Neuroscience?? research (my favorite topics combined together! ??): Music Synchronizes Heart Rates and Collective Emotions ?? Listening to music synchronizes heart rates within individuals more reliably than between different people. This synchronization depends on physiological responses rather than mood or music preferences. The findings help explain the collective emotional experiences of audiences and suggest ways to enhance theater performances. The research offers valuable clues for improving the performing arts. You can find it in this new and exciting paper from Dr Ryota Nomura: https://lnkd.in/dmF5adxU

1/1: Title: The Interplay of Vibrational Frequencies in Music and Their Impact on Organic and Inorganic Compounds: Implications for Chemistry and Fluid Dynamics in the Human Brain Abstract This article explores the intricate relationship between vibrational frequencies in music, specifically examining Beethoven’s works at 335 MHz in C Meter, and their influence on organic and inorganic compounds. We delve into how matching the frequency and rhyme of lyrics to tunes can create covalent-like bonds, impacting chemical interactions and thermodynamic principles. Furthermore, we discuss the potential applications of these findings in fluid dynamics, particularly within the human brain. Introduction The field of vibrational chemistry and its intersection with music is a burgeoning area of research that promises to uncover novel insights into the behavior of organic and inorganic compounds. Music, particularly classical compositions like those of Beethoven, operates at specific frequencies that can resonate with the molecular vibrations of chemical compounds. This resonance can influence the stability and reactivity of these compounds, drawing parallels with covalent bonding mechanisms. Vibrational Frequencies in Music and Chemistry Beethoven’s 335 MHz in C Meter Beethoven’s compositions, known for their emotional depth and structural complexity, are often analyzed in terms of their musical elements. However, examining these works at a vibrational frequency of 335 MHz in C Meter reveals a new dimension of influence on chemical systems. The precise tuning and harmonic structures can induce specific vibrational modes in molecules, potentially affecting their chemical properties. Covalent Bond Analogy The concept of covalent bonds, where atoms share electrons to achieve stability, can be extended metaphorically to the interaction of music and molecules. When lyrics and tunes are blended to match the frequency and rhyme, a resonant frequency is achieved, similar to the sharing of electrons. This resonance can enhance the stability of molecular structures, impacting both organic and inorganic compounds. Courtsey to Dr.Amanda Hanson USA ???? Courtesy to Amelia Williams NewsComb Dressage USA ???? Courtesy to Priya Waller Media and Communications Experts UK ????

New in the Canadian Journal of Experimental Psychology: 'Towards mechanistic investigations of numerical and music cognition' - Vuvan, D. T., & Sullivan, J. "This opinion article describes both applied and theoretical merits for studying the intersection of numerical cognition and music cognition. We review a selection of the previous literature, and systematically identify its limitations. We propose promising new lines of research in understanding the relation between numerical and music cognition." https://lnkd.in/gGNdyzu9

I'm happy to share a new paper in collaboration with Duc Nguyen, PHD, Anthony Norcia, Jacek Dmochowski, and Jonathan Berger, now published in European Journal of Neuroscience (open access). We analyzed EEG and behavioral data delivered by trained musicians as they listened to the first movement of Elgar's Cello Concerto. Both types of responses were synchronized by the music, suggesting that listeners were engaged by the piece. But EEG and behavioral correlations sometimes peaked at different points in time, suggesting that these measures may index different aspects of musical engagement. Check out the paper to learn more! https://lnkd.in/gQZuubyd

September is Classical Music month.?????? The genre that evokes emotion from many, from soothing to jarring, has been evolving for centuries. What does data have to do with music you may ask. ?? Well, this happens to be related to data mining and applying evolutionary traits characteristics. The MIT Technology Review published an article about a study about six years ago (cool, nonetheless). https://bit.ly/3Z6sMnT So, data, trends, and anaytics even applies to music and evolution of trends. Wonder if they'll be studying how datasets impacted production in oil fields or crop yields in the next hundred years? In any event, we've compiled a playlist of some of our favorite classical tunes. You can listen to it here: https://spoti.fi/3Z5ScSC

I simply adore research that puts musicians front and centre! Bass Accompaniment Generation Via Latent Diffusion is a significant research endeavour led by Marco Pasini, Maarten Grachten, and Stefan Lattner, conducted at Sony CSL (Paris) and Queen Mary University of London. Trained on an in-house dataset of mixture and corresponding bass waveform pairs, the architecture initially encodes the mixture waveform into a latent space. It then concatenates noise to the resulting vector and attempts to de-noise the latent vector through k iterations using a U-net equipped with additional self attention in the lower resolution layers. Subsequently, the vector is decoded back into the waveform domain, yielding the generated bass waveform. In order to enhance the system's controllability and "maximize its utility as a creative tool for music artists", the architecture enables timbre control by conditioning the generated bass on user input. This is achieved by calculating the average of the encoded latent vector of the conditioning bass across time-steps "C style" and ensuring that the average-over-time dimension of the de-noised latent vector at each step closely approximates "C style"; enforcing "distinct timbre features". There is much to learn from this paper; however, what particularly caught my attention was the adoption of two techniques: Dynamic Positional Bias (DPB) and Classifier-Free Guidance, aimed at enhancing generalisability and generation adherence. I firmly believe that this addresses a genuine creative challenge faced by many music producer throughout history. From overcoming contemporary creative blocks to resonating with Dee Dee Ramone: """I like the guitar better these days. I like the bass, too, but it's hard to fit a bass amp in a small car""" Additional links to the published paper and audio samples included as always, but if you're seeking a quick impression, make sure to check the video below! Figure and audio samples are taken from the official Github repository. paper: https://lnkd.in/dZdSjCNg audios and official release video: https://lnkd.in/dNwkJ-b3 #generativeai #diffusionmodels #computermusic

Music to our ears. Whatever you think of the beginning piece created by a network of 3 Q1 synth instruments (quantum synthesizers that use real quantum hardware to synthesize sounds), this is a fascinating (March ‘23) podcast episode from Physics World. Host Andrew Glester talks to science writer Philip Ball, and theoretical physicist and composer Maria Mannone, and together they explore the intersection of music and quantum physics, as well as the inner workings of and advancements in quantum computing. Tune in to find out more…. #Music #QuantumPhysics #QuantumSynthesizers #QuantumComputing #Superposition #SuperConductors

https://lnkd.in/eK_z6E7H Along the way, readers will augment their understanding of both mathematics and music. Look for "Read and Download Links" section to download. #math #mathematics #music

Music impacts our emotions super effectively ?? We know it from movie soundtracks, or an old song we haven't listened to since a teenage fling, and suddenly we're back in the teenage room in a matter of seconds. But why exactly does music have such a wild influence on our brains? Science is actually still figuring that out, but we know that sound and music impact the limbic system, which also has to do with our emotions and our memories. That knowledge corresponds quite precisely with the experiences we have at SoundWheel, where we support visualizations with special music, created specifically to cultivate emotions, and have them be the "Jet Fuel" behind the experiences in the inner imaginary world. In other words, the music helps to make the visualization far more potent ?? Aarhus University and the Royal Academy of Music jointly run the "Center for music in the brain", where research is carried out in this area. Here at SoundWheel, we are of course very interested in the research that is taking place in this field these years, even if our origins are more practical musical than academic ??