Creating a multitrack classical music performance dataset for multimodal music analysis: Challenges, insights, and applications
We introduce a dataset for facilitating audio-visual analysis of music performances. The
dataset comprises 44 simple multi-instrument classical music pieces assembled from …
dataset comprises 44 simple multi-instrument classical music pieces assembled from …
Ccom-huqin: An annotated multimodal chinese fiddle performance dataset
HuQin is a family of traditional Chinese bowed string instruments. Playing techniques (PTs)
embodied in various playing styles add abundant emotional coloring and aesthetic feelings …
embodied in various playing styles add abundant emotional coloring and aesthetic feelings …
Adaptive time-frequency scaterring for periodic modulation recognition in music signals
Vibratos, tremolos, trills, and flutter-tongue are techniques frequently found in vocal and
instrumental music. A common feature of these techniques is the periodic modulation in the …
instrumental music. A common feature of these techniques is the periodic modulation in the …
Explainable audio classification of playing techniques with layer-wise relevance propagation
C Wang, V Lostanlen… - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Deep convolutional networks (convnets) in the time–frequency domain can learn an
accurate and fine-grained categorization of sounds. For example, in the context of music …
accurate and fine-grained categorization of sounds. For example, in the context of music …
Adaptive scattering transforms for playing technique recognition
Playing techniques contain distinctive information about musical expressivity and
interpretation. Yet, current research in music signal analysis suffers from a scarcity of …
interpretation. Yet, current research in music signal analysis suffers from a scarcity of …
Spectral–temporal receptive field-based descriptors and hierarchical cascade deep belief network for guitar playing technique classification
Music information retrieval is of great interest in audio signal processing. However, relatively
little attention has been paid to the playing techniques of musical instruments. This work …
little attention has been paid to the playing techniques of musical instruments. This work …
Learned features for the assessment of percussive music performances
The automatic assessment of (student) music performance involves the characterization of
the audio recordings and the modeling of human judgments. To build a computational …
the audio recordings and the modeling of human judgments. To build a computational …
Monaural music source separation using convolutional sparse coding
We present a comprehensive performance study of a new time-domain approach for
estimating the components of an observed monaural audio mixture. Unlike existing time …
estimating the components of an observed monaural audio mixture. Unlike existing time …
[HTML][HTML] Audio classification of violin bowing techniques: An aid for beginners
Playing violin requires both left and right hands that move into one another to produce one
distinctive sound. While some violin players improve their hearing and recognize these …
distinctive sound. While some violin players improve their hearing and recognize these …
HMM-based glissando detection for recordings of Chinese bamboo flute
Playing techniques such as ornamentations and articulation effects constitute important
aspects of music performance. However, their computational analysis is still at an early …
aspects of music performance. However, their computational analysis is still at an early …