Peter Grosche - Audio DSP, Data Science, Music AI
Peter Grosche - Audio DSP, Data Science, Music AI
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Meinard Müller
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Content-based Methods for Knowledge Discovery in Music
Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity
Towards cover group thumbnailing
A robust fitness measure for capturing repetitions in music recordings with applications to audio thumbnailing
Audio Content-Based Music Retrieval
Automated segmentation of folk song field recordings
Automatic transcription of recorded music
Structure-Based Audio Fingerprinting for Music Retrieval
Toward characteristic audio shingles for efficient cross-version music retrieval
Toward Musically-Motivated Audio Fingerprints
Unsupervised detection of music boundaries by time series structure features
A Re-ordering Strategy for Accelerating Index-based Audio Fingerprinting
A Segment-based Fitness Measure for Capturing Repetitive Structures of Music Recordings
Analyzing Chroma Feature Types for Automated Chord Recognition
Extracting predominant local pulse information from music recordings
Tempogram toolbox: Matlab implementations for tempo and pulse analysis of music recordings
A Novel Timeline Adjustment Functionality for the Interpretation Switcher
Automated analysis of performance variations in folk song recordings
Cyclic Tempogram -- A Mid-level Tempo Representation For Music Signals
Tempobasierte Segmentierung von Audioaufnahmen
What makes beat tracking difficult? A case study on Chopin Mazurkas
A mid-level representation for capturing dominant tempo and pulse information in music recordings
Combination of Onset-Features with Applications to High-Resolution Music Synchronization
Computing predominant local periodicity information in music recordings
High resolution audio synchronization using chroma onset features
Robust Segmentation and Annotation of Folk Song Recordings
Towards automated processing of folk song recordings
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