Machine Learning for Music

11th July 2023

MACHINE LEARNING FOR MUSIC SHOWCASE exploring AI, ML and all things in-between

UnSupervised#3 SHOWCASE 2023

  • SESSION ONE

    10:30 - 11:45 am

    Presentations by:
    Josh Gardner
    Tom Baker
    Mark Pilkington

    Q&A - 15 min

  • SESSION TWO

    12:00 - 1:15 pm

    Presentations by
    Tasos Asonities
    Nico Garcia-Peguinho
    Rosalia Soria

    Q&A - 15 min

  • SESSION THREE

    3:00 - 4.30 pm | 4:30 - 5:00 pm

    Megan Steinberg
    Alistair Zaldua
    Nina Whiteman

    Q&A - 15 min
    4:30 - 5:00 - Unsupervised Future Discussion

UnSupervised #3 Venue: MARTIN HARRIS CENTRE for Music & Drama, Manchester, UK

Previous Events: 

UnSupeRvised at The Manchester Science Festival 2022

21-30 October 2022 'What does the future hold for humanity?'

AURA MACHINE icons by Vicky Clarke

AI Beatboxer (Noh Virtual), a project by Ricardo Climent - with Giorgos Gargalas, Hongshuo Fan, Alena Mesarosova &
Manu Ferrer

Manchester Science Festival 2022

Showcase of new #Unsupervised #1+2 works by Melanie Wilson – with Héloïse Werner, Nina Whiteman, Zakiya Leeming – with Josh Allen, Hongshuo Fan, with Rocío Bolaños, Chris Rhodes, Ellen Sargen, Robert Laidlow, Tasos Asonitis, Megan Steinberg, Tywi J H Roberts and Bofan Ma

Manchester Science Festival 2022

Tasos Asonitis presents UnSupervised at Didsbury's SciBar (Manchester): Monday 17th October. 18:30 start. FREE admission.
Place: The Albert Club, Old Lansdowne Road, West Didsbury, Manchester M20 2PA
Event Brite: UnSupervised Asonitis

UnSupervised #2
27-28 June 2022

A Music Festival exploring AI, ML and all things in-between

Posters, Demos and Seminar

27 June 2022: The HIVE
Alliance Manchester Business School UK

Posters, Demonstrations of technology and a Seminar at the iconic HIVE space (AMBS, Manchester UK).
Come and meet the ML4M (Machine Learning 4 Music Group)

Book a place for Talks and Demos at HIVE (AMBS) via EVENTBRITE

27 June 2022 Machine Learning Showcase by ML4M group:

  • 13:00 - 15:00 (BST) DEMOS & POSTERS (HIVE space)

  • 13:00 - 15:00 (BST) VIDEO-LOOP SHOWCASE (Adjacent room - HIVE)

  • 15:00 - 17:00 (BST) SCHEDULED TALKS (Adjacent room - HIVE)


13:00 - 15:00 (BST) Machine Learning DEMOS & POSTERS:

DEMOS: (at HIVE, room 3.004)
BEATBOXING-AI TEAM DEMOS: (Ricardo Climent, Giorgos Gargalas, Hongshuo Fan, Alena Mésárosová, Manu Ferrer). Click for poster
- RAVE AUDIO AI DEMO: Live Generation of trained Beatboxing Material with Greek beatboxer champion Giorgos Gargalas, using IRCAM’s cutting-age algorithm
- MOCAP TRAINING DEMO for 3D models of  Virtual Beatboxer using Japanese Noh Masks – Real Time Facial Capture algorithm for 3D models

MIXED REALITY AR/VR - Chris Rhodes new immersive Mixed Reality Work, Membrana Neopermeable. (Virtual Reality headset)

PRiSM SampleRNN DEMO – PRisM  (from 2-3 pm) - A project including development of the code prism-samplernn, a computer-assisted compositional tool released on GitHub in June 2020 as part of PRiSM Future Music #2 - by Christopher Melen
ARTISTIC SONIFICATION OF DEEPFACE controversial algorithm: ‘Feeling by Numbers’ – Joshua Gardner (NOVARS)
•  The Fluid Corpus Manipulation project (FluCoMa) - Ted Moore

_______________________________________________________
POSTERS:
(at HIVE Space, room 3.004) Best Student Paper Award Posters:

New Interfaces for Classifying Performance Gestures in Music (2019) —Conference Paper at Intelligent Data Engineering and Automated Learning IDEAL 2019 Best Student Paper Award Authors: Chris Rhodes, Richard Allmendinger, Ricardo Climent. 

SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms (2022) — EvoMUSART 2022 Best Paper Award • Authors: Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent. Click to see poster
VR2: Virtual Reality Research Facility Poster: VR2: Cutting-edge virtual reality and motion capture research at UoM. A tool for researchers to capture data for AI training purposes.

13:00 - 15:00 (BST) VIDEO-LOOP SHOWCASE BY ML4M GROUP
Works by:
• Vicky Clarke (Novars Resident Artist) – Dreaming with Machines 2022 documentary (with Brighter Sound) and  "Aura Machine"
• Zakiya Leeming (PRiSM) – "Sad Dog Eating"
• Hongshuo Fan (Novars) – "Metamorphosis"
• Tywi J H Roberts (PRiSM) – "Blodeuwedd"
• Ellen Sargen (PRiSM) and Sarah Watts (Bass Clarinet)– "You May Own Us But We Are Going To Inform On You"
• Robert Laidlow (PRiSM) – "Rose Green"
• Tasos Asonitis (Novars) – "Symbiosis As A Metaphor"
• Chris Rhodes (Novars) – "Semiconductor"
_______________________________________________________

15:00 - 17:00 (BST) SCHEDULED TALKS (ML4M GROUP)

Creative uses of Artificial Intelligence in music composition and performance.
• 15:00 -15:20 Bofan Ma (PRiSM / RNCM) - Music-making, AI, and Transnational Identity
• 15:20 -15:40 Zakiya Leeming (PRiSM / RNCM) – [Intermittent] Cat: Dataset design #2 considerations & observations
• 15:40 -16:00 Jason Dominguez (Computer Science / UoM) – "Controllable Music Composition Tools Using Knowledge-Enhanced Generative Deep Learning"
• 16:00 -16:20 Tom Baker (Computer Science / UoM) – 'Teaching the AI technique: A Guitar Performance model'
• 16:20 -16:40 Ricardo Climent – Noh •○ Virtual (2022), a duo for human beatboxer and Digital-Twin
• 16:40 -17:00 Ted Moore – The Fluid Corpus Manipulation project (FluCoMa)

Concert Series

28 June 2022: International Anthony Burgess Foundation (IABF)

CONCERT (SOLD OUT): Live performance of Interactive and Fixed media works created by the Machine Learning for Music group

Join us for an exciting concert of new works that explore how machine learning is changing and challenging human creativity (and vice versa!).

Unsupervised 2 will feature new works by:

Concert 1: 18:00 - 19:00

Megan Steinberg – “Outlier TT”
Bofan Ma – “Bofan Ma, Outtakes III”
Tasos Asonitis – “Exhibits”
Zakiya Leeming – “[Intermittent] Cat” – with Josh Allen (Tuba)


Concert 2: 19:30 - 20:30

Ricardo Climent – with beatboxer Giorgos Gargalas (a collab. with Hongshuo Fan, Alena Mésárosová and Manu Ferrer), “Noh Virtual, for beatboxer and digital twin”
Melanie Wilson – with Héloïse Werner (voice), “Dreaming Species”
Nina Whiteman – “Fuming”
Hongshuo Fan - with Rocío Bolaños (Bass Clarinet), “Conversation in the Cloud”,

Click here to Book

WATCH UNSUPERVISED #1 CONCERT SERIES (JUNE 2021)

 
 

UnSupervisEd #1 (2021)
Machine Learning for Music

 

“Unsupervised Learning is the Dark Matter of AI” – Yann LeCun


Concert Series 2021
June 16th 2021 
Livestream 5pm – 8pm (BST)

UNSUPERVISED #1 Programme
WED 16 JUN 2021
Livestream 5pm – 8pm (BST)

5:00pm (BST) - Concert 1: Livestream Performances

  • Tasos Asonitis, “Symbiosis as a metaphor” (*)

  • Tywi J H Roberts, “Blodeuwedd” (*)

  • Ellen Sargen, “You may own us but we are going to inform on you” (*) - with Sarah Watts (bass clarinet)

  • Chris Rhodes, “Semiconductor” (*)

6:00pm (BST) - Panel Q&A 

7:00pm (BST) - Concert 2: Livestream Performances

  • Zakiya Leeming, “Sad Dog Eating” (*)

  • Rob Laidlow, “Rose Green” (*)

  • Vicky Clarke, “Aura Machine” (*)

  • Hongshuo Fan, “Metamorphosis” (*)

(*) World Premiere

Unsupervised is a new concert series created by the Machine Learning for Music (ML4M) Working Group – a community of composers and audiovisual artists exploring the creative use of emerging Artificial Intelligence and Machine Learning technologies led by PRiSM (RNCM) Lecturer in Composition, Dr. Sam Salem and Prof. Ricardo Climent, Professor of Interactive Music Composition and Director of NOVARS Research Centre at University of Manchester. 

ML4M includes postgraduate students from both RNCM and University of Manchester, as well as guest artists, supported by Machine Learning experts at the Alliance Manchester Business School and PRiSM. 

Our first ever Unsupervised concert series in June 2021 included new works by Anastasios Asonitis, Vicky Clarke, Hongshuo Fan, Robert Laidlow, Zakiya Leeming, Tywi Roberts, Chris Rhodes & Ellen Sargen. Concerts were discussed on a Research Panel led by Dr Salem and Professor Climent including Q&A.

During academic year 2021-22 we expanded our network with composers and computer scientists including Melanie Wilson, Jason Dominguez, Tom Baker, Nina Whiteman, Megan Steinberg, Daniel Kidane, Bofan Ma, Liran Yuzbegi, James Corley and Daniel Kidane