Singing Voice and Artificial Intelligence academic forum¶

• See the help button above, or this page, for how to format things - it isn't Markdown I'm afraid, but it is fairly simple all the same
• Use the History link at top-right (and then follow one of the Annotate links) to see who has edited which line
• Click the Watch link at top-right to request email notifications when the page is edited

This project is public. Please be cautious about including "private sharing links" and the like in wiki pages.

• Meetings take place on Zoom, Tuesdays at 3 pm BST (London), 4 pm W.Europe (Paris, Berlin), 7:30 pm IST (Mumbai), 11 pm Japan, 10 am EDT (New York), 7 am PDT (San Francisco)
  Google calendar (shows meetings in your timezone)

Subscribe to the mailing list. After you subscribed you will be able to see all the previous messages there.¶

Present your research or suggest speakers: contact Polina¶

our youTube channel¶

Members¶

Please contribute to these!
topics suggestions
papers to discuss
Datasets¶

---

22/03

• Sebastian Rosenzweig, Simon Schwär: "Measuring and Adjusting Intonation in Choir Recordings"

TBA

• Voice Jams with Reeps One

08/02

• Tejaswinee Kelkar: The body and sung melodies II - Singers' facial movements and listeners' interval perception

25/01

• Using automation for musicological research on singing - how can we help?
  • Elizabeth Phillips: Quantifying vocal pitch-classes cross-culturally
  • Yannick Wey and Lawrence Shuster: Challenges in the analysis of tone color of unaccompanied vocal music

18/01/2022

• Tejaswinee Kelkar: The body and sung melodies I - Computational Analysis of Melodic Contour and Body Movement

2022¶

30/11

• Pritish Chandna: Voice Processing and AI from Academia to Industry

02/11

• Pre-ISMIR, pre-CMMR presentations
  • Huan Zhang: Learn by Referencing - Towards Deep Metric Learning for Singing Assessment
  • Jyoti Narang: Analysis of Musical Dynamics in Vocal Performances
  • Brendan O'Connor: One-shot singing technique conversion

28/09

• Andrew Killick: Notes, Notations and Annotations - The Potential of Human-Machine Collaboration through Global Notation

27/07

• John McBride: Are pitches discrete? An information-theoretic framework and a corpus study

20/07

• Devansh Zurale
  • source-filter models and deep learning models for voice synthesis, video
  • Hindustani singing voice

29/06

• Yuto Ozaki: Agreement among human and automated transcriptions of global songs - video
• Discussion: roadmap to automatic transcription of cross-cultural vocal recordings slides

22/06

• ICASSP21 papers

25/05

• DadaBots : Neural Synthesis - Eliminating Humans from Music
• with special guest Reeps One
  video

20/04

• Vincent Koops: AI Song Contest - Lessons on how to create in collaboration with AI
  video

26/01/2021

• Prof. Frank Scherbaum : "From Musical Acoustics of the Earth to Computational Ethnomusicology of Traditional Georgian Vocal Music"

19/01/2021

• Polina Proutskova and Olga Velichkina
  Open questions on tonality perception and construction in non-Western vocal music
  OR
  What makes singing so difficult for automatic analysis
  video

24/11

• Matan Gover
  • Score-informed source separation of choral music, video
  • on VoctroLabs current work, video

17/11

• Emir Demirel:
  • Computational Pronunciation Analysis and Modeling of Sung Utterances
  • Low Resource audio-to-lyrics alignment from polyphonic music recordings

27/10

• Helene Cuesta and Sebastian Rosenzweig: "Polyphonic Singing Datasets for MIR Research", video

20/10

• ISMIR reports
• Brendan O'Connor: ""An Exploratory Study of Perceptual Spaces of the Singing Voice”

29/09

• Bernd Brabec de Mori & Victor A. Stoichițӑ: "Postures of listening and vocal agencies" abstract and bios, video

22/09

• Pritish Chandna: ""Deep Learning Applied to SATB Choirs"
• Kilian Schulze-Foster: "Text-Informed Singing Voice Separation and Phoneme Level Lyrics Alignment"

18/08

• Courtney Reed: Singer's auditory imagery with altered auditory feedback abstract

07/07

• Prof. Johan Sundberg : Physiological and acoustical aspects of phonation types - video

30/06

• Prof. David Howard : "Pitch in singing is not all one might think it is."

19/05

• Emir Demirel on prosody and pronunciation in singing

17/03

• Paper quick read and discussion: "CONTENT BASED SINGING VOICE EXTRACTION FROM A MUSICAL MIXTURE"
  on Skype: https://join.skype.com/ddb39kV1HHvk

11/02

• Singing voice generation: "A Neural Parametric Singing Synthesizer Modeling Timbre and Expression from Natural Songs"

21/01/2020

• Singing voice generation

10/12
4 pm GC114

• Universality and diversity in human song - discussing the Science paper from the Natural History of Song project

5 pm : SCR bar

• Christmas Big Sing!
• join us to sing Christmas songs from different cultures. Bring songs from your country and teach us

29/10 : Laws 3.06

• Expressivity in singing: paper suggestions

22/10 : Laws 3.06

• Prof. Simon Dixon: "Measuring and Modelling Intonation and Temperament"

15/10 : Laws 3.06

• Vocal physiology

01/10 NB different time slot! 2- 3 pm : Laws 3.08C

• Wenming Gui on his research into singing voice detection and deep learning

17/09   : Laws 3.08D

• Charis Saitis on his research on timbre and its applications to singing voice

10/09 : ArtsOne 1.25

• Polina on PEVoC 2019

23/07

• VocalSet with Courtney and Emir

16/07 : Bancroft: 1.03

• Emir reports from UK Speech Conference
• Emir introduces DAMP Intonation dataset
• Polina: report from FMA

02/07 : Eng402 Daphne Oram room
Small group, short topics

• Synthetic Voice Datasets
• Research on Vocal Tract transformations
• Informal discussion on vocal differences between cultures and classes

18/06 : GC604

• Chris 10 min presentation
• Emir presenting his poster for UK Speech Conference

11/06 : GC604

• 10 min presentations:

• Wenming
• Yukun

• Datasets

04/06

• 10 min presentations:

• Courtney
• Brendan

• Datasets

28/05/19 : ITL¶

• First meeting,
• introduction,
• coordination