Alexander Lerch

Orcid: 0000-0001-6319-578X

Affiliations:
  • Georgia Institute of Technology, Center for Music Technology, Atlanta, USA
  • Berlin Institute of Technology, Germany (PhD 2008)


According to our database1, Alexander Lerch authored at least 71 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
A Large-Scale Multiobjective Particle Swarm Optimizer With Enhanced Balance of Convergence and Diversity.
IEEE Trans. Cybern., March, 2024

Embedding Compression for Teacher-to-Student Knowledge Transfer.
CoRR, 2024

2023
AQUATK: An Audio Quality Assessment Toolkit.
CoRR, 2023

ASPED: An Audio Dataset for Detecting Pedestrians.
CoRR, 2023

A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation.
CoRR, 2023

Evaluation of Spatial Distortion in Multichannel Audio.
CoRR, 2023

Music Instrument Classification Reprogrammed.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

MILC 2023: 3rd Workshop on Intelligent Music Interfaces for Listening and Creation.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Audio Embeddings as Teachers for Music Classification.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Latte: Cross-framework Python package for evaluation of latent-based generative models.
Softw. Impacts, 2022

libACA, pyACA, and ACA-Code: Audio content analysis in 3 languages.
Softw. Impacts, 2022

Deep reinforcement learning for urban multi-taxis cruising strategy.
Neural Comput. Appl., 2022

A large TV dataset for speech and music activity detection.
EURASIP J. Audio Speech Music. Process., 2022

Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming.
CoRR, 2022

Scream Detection in Heavy Metal Music.
CoRR, 2022

Evaluating Generative Audio Systems and Their Metrics.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Representation Learning for the Automatic Indexing of Sound Effects Libraries.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Feature-informed Embedding Space Regularization For Audio Classification.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization.
Swarm Evol. Comput., 2021

Attribute-based regularization of latent spaces for variational auto-encoders.
Neural Comput. Appl., 2021

Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes.
CoRR, 2021

Audio Content Analysis.
CoRR, 2021

Improving Music Performance Assessment With Contrastive Learning.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Is Disentanglement enough? On Latent Representations for Controllable Music Generation.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Semi-Supervised Audio Classification with Partially Labeled Data.
Proceedings of the IEEE International Symposium on Multimedia, 2021

Mind the Beat: Detecting Audio Onsets from EEG Recordings of Music Listening.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
An Interdisciplinary Review of Music Performance Analysis.
Trans. Int. Soc. Music. Inf. Retr., 2020

On the evaluation of generative models in music.
Neural Comput. Appl., 2020

Visual Attention for Musical Instrument Recognition.
CoRR, 2020

Attribute-based Regularization of VAE Latent Spaces.
CoRR, 2020

dMelodies: A Music Dataset for Disentanglement Learning.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Multitask Learning for Instrument Activation Aware Music Source Separation.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Score-informed Networks for Music Performance Assessment.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Remixing Music with Visual Conditioning.
Proceedings of the IEEE International Symposium on Multimedia, 2020

Melody-Conditioned Lyrics Generation with SeqGANs.
Proceedings of the IEEE International Symposium on Multimedia, 2020

2019
Evaluation of Feature Learning Methods for Voice Disorder Detection.
Int. J. Semantic Comput., 2019

Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs.
CoRR, 2019

Learning Strategies for Voice Disorder Detection.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Learning to Traverse Latent Spaces for Musical Score Inpainting.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Music Performance Analysis: A Survey.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Automatic Assessment of Sight-reading Exercises.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

An Attention Mechanism for Musical Instrument Recognition.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Tuning Frequency Dependency in Music Classification.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
A Review of Automatic Drum Transcription.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Assessment of Percussive Music Performances with Feature Learning.
Int. J. Semantic Comput., 2018

Music Information Retrieval in Live Coding: A Theoretical Framework.
Comput. Music. J., 2018

Learned Features for the Assessment of Percussive Music Performances.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases.
Proceedings of the 18th International Conference on New Interfaces for Musical Expression, 2018

From Labeled to Unlabeled Data - On the Data Challenge in Automatic Drum Transcription.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Concert Stitch: Organization and Synchronization of Crowd Sourced Recordings.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Instrument Activity Detection in Polyphonic Music using Deep Neural Networks.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2017
Objective Descriptors for the Assessment of Student Music Performances.
Proceedings of the AES International Conference Semantic Audio 2017, 2017

A Dataset and Method for Guitar Solo Detection in Rock Music.
Proceedings of the AES International Conference Semantic Audio 2017, 2017

Automatic Drum Transcription Using the Student-Teacher Learning Paradigm with Unlabeled Music Data.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Automatic Sample Detection in Polyphonic Music.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Learning to Fuse Music Genres with Generative Adversarial Dual Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
An Unsupervised Approach to Anomaly Detection in Music Datasets.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

On Drum Playing Technique Detection in Polyphonic Mixtures.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Automatic Practice Logging: Introduction, Dataset & Preliminary Study.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Automatic Outlier Detection in Music Genre Datasets.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015
On the perceptual relevance of objective source separation measures for singing voice separation.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Chord Detection Using Deep Learning.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Drum Transcription Using Partially Fixed Non-Negative Matrix Factorization with Template Adaptation.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Beat Histogram Features from NMF-Based Novelty Functions for Music Classification.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Genre-specific Key Profiles.
Proceedings of the Looking Back, 2015

Drum transcription using partially fixed non-negative matrix factorization.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
CMMSD: A Data Set for Note-Level Segmentation of Monophonic Music.
Proceedings of the AES International Conference on Semantic Audio 2014, 2014

2011
Strategies for orca call retrieval to support collaborative annotation of a large archive.
Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011

2008
Software based extraction of objective parameters from music performances.
PhD thesis, 2008

2006
On the Requirement of Automatic Tuning Frequency Estimation.
Proceedings of the ISMIR 2006, 2006


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