Index by title
- Wiki
- Abstract
- Abstract and bios
- Agreement among human and automated transcriptions of global songs
- AI Song Contest - Lessons on how to create in collaboration with AI
- Analysis of Musical Dynamics in Vocal Performances
- "A Neural Parametric Singing Synthesizer Modeling Timbre and Expression from Natural Songs"
- Are pitches discrete An information-theoretic framework and a corpus study
- Brendan
- Challenges in the analysis of tone color of unaccompanied vocal music
- Charis Saitis
- Chris 10 min presentation
- Christmas Big Sing!
- Computational Pronunciation Analysis and Modeling of Sung Utterances
- "CONTENT BASED SINGING VOICE EXTRACTION FROM A MUSICAL MIXTURE"
- Coordination
- Courtney
- Datasets
- ""Deep Learning Applied to SATB Choirs"
- "From Musical Acoustics of the Earth to Computational Ethnomusicology of Traditional Georgian Vocal Music"
- ICASSP21 papers
- Introduction
- Learn by Referencing - Towards Deep Metric Learning for Singing Assessment
- Low Resource audio-to-lyrics alignment from polyphonic music recordings
- Measuring and Adjusting Intonation in Choir Recordings
- Members
- Neural Synthesis - Eliminating Humans from Music
- Notes Notations and Annotations - The Potential of Human-Machine Collaboration through
- One-shot singing technique conversion
- Open questions on tonality perception and construction in non-Western vocal music
- Papers to discuss
- Polina
- "Polyphonic Singing Datasets for MIR Research"
- Poster for UK Speech Conference
- Prosody and pronunciation in singing
- Quantifying vocal pitch-classes cross-culturally
- Report from FMA
- Research on Vocal Tract transformations
- SampleRNNs
- Score-informed source separation of choral music
- Source-filter models and deep learning models for voice synthesis
- Subscribe
- Suggestions
- Synthetic Voice Datasets
- "Text-Informed Singing Voice Separation and Phoneme Level Lyrics Alignment"
- The body and sung melodies I - Computational Analysis of Melodic Contour and Body Movement
- The body and sung melodies II - Singers' facial movements and listeners' interval perception
- Topics suggestions
- Towards Deep Metric Learning for Singing Assessment
- Universality and diversity in human song
- VoctroLabs current work
- Voice Processing and AI from Academia to Industry
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