Channel - Session B
2-6-2022 19:14:59
Channel Videos
[B00] Music Performance Analysis: A Survey
"Music is a performing art. Even so, the performance itself is only infrequently explicitly acknowledged in MIR research. This paper surveys music performance research with the goal of increasing awareness for this topic in the ISMIR community."
presenter ISMIR2019
5-11-2019 12:30:00
[B01] Evolution of the Informational Complexity of Contemporary Western Music
"We find evidence for a global, inverted U-shaped relationship between complexity and hedonistic value within Western contemporary music, suggesting that the most popular songs cluster around average complexity values."
presenter ISMIR2019
5-11-2019 12:55:00
[B02] Deep Unsupervised Drum Transcription
"DrummerNet is a drum transcriber trained in an unsupervised fashion. DrummerNet learns to transcribe by learning to reconstruct the audio with the transcription estimate. Unsupervised learning + a large dataset allow DrummerNet to be less-biased."
presenter ISMIR2019
5-11-2019 13:00:00
[B03] Estimating Unobserved Audio Features for Target-Based Orchestration
"We show that neural networks can predict features of the sum of 30 or more individual music notes based only on precomputed features of the source notes. This holds promise for computationally expensive applications like target-based orchestration."
presenter ISMIR2019
5-11-2019 13:05:00
[B04] Towards Automatically Correcting Tapped Beat Annotations for Music Recordings
"A framework for correcting beat annotations that were created by humans tapping to the beat of music recordings. It includes an automated correction procedure, visualizations to inspect the correction process, and a new dataset of beat annotations."
presenter ISMIR2019
5-11-2019 13:10:00
[B05] Algorithmic Ability to Predict the Musical Future: Datasets and Evaluation
"We introduce a dataset and evaluation methods to compare music prediction models, used in the MIREX Patterns for Prediction task. We compare three models in our framework, and discuss how to improve evaluation strategies and music prediction models."
presenter ISMIR2019
5-11-2019 13:15:00
[B06] Learning soft-attention models for tempo-invariant audio-sheet music retrieval
"The amount of temporal context given to a CNN is adapted by an additional soft-attention network, enabling the network to react to local and global tempo deviations in the input audio spectrogram."
presenter ISMIR2019
5-11-2019 13:20:00
[B08] Temporal convolutional networks for speech and music detection in radio broadcast
presenter ISMIR2019
5-11-2019 13:30:00
[B09] Towards Explainable Emotion Recognition in Music: The Route via Mid-level Features
"Explainable predictions of emotion from music can be obtained by introducing an intermediate representation of mid-level perceptual features in the predictor deep neural network."
presenter ISMIR2019
5-11-2019 12:35:00
[B11] Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning
"A CRF model is able to automatically and jointly track beats and microtiming in timekeeper instruments of Afro-Latin American music, in particular samba and candombe. This allows the study of microtiming profiles' dependency on genre and performer."
presenter ISMIR2019
5-11-2019 13:45:00
[B12] Harmony Transformer: Incorporating Chord Segmentation into Harmony Recognition
presenter ISMIR2019
5-11-2019 13:50:00
[B13] Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model
"This paper proposes a solid statistical approach to music structure analysis based on a homogeneity-, repetitiveness-, and regularity-aware hierarchical hidden semi-Markov model."
presenter ISMIR2019
5-11-2019 13:55:00
[B14] Towards Measuring Intonation Quality of Choir Recordings: A Case Study on Bruckner's Locus Iste
"This paper proposes an intonation cost measure for assessing the intonation quality of choir singing. While capturing local frequency deviations, the measure includes a grid shift compensation for cases when the entire choir is drifting in pitch."
presenter ISMIR2019
5-11-2019 14:00:00
[B15] Guitar Tablature Estimation with a Convolutional Neural Network
"We propose a guitar tablature estimation system that uses a convolutional neural network to predict fingerings used by the guitarist from audio of an acoustic guitar performance."
presenter ISMIR2019
5-11-2019 14:05:00
Mediasite Showcase
Mediasite's the trusted cornerstone of any campus or enterprise video strategy. Our unyielding commitment to all things video helps you transform education, training, communications and online events.
Webcasting Video Content Management Video Delivery Integration Services Mediasite Community
Powered By Mediasite - Enterprise Video Platform