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ORCIDAlexander Lerch 0001
Alex Lerch 0001
Person information
- affiliation: Georgia Institute of Technology, Center for Music Technology, Atlanta, USA
- affiliation (PhD 2008): Berlin Institute of Technology, Germany
Other persons with the same name
- Alexander Lerch 0002 — FameL GmbH, Seiersberg, Austria
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2020 – today
- 2024
[j14]Dongyang Li
, Lei Wang, Li Li, Weian Guo, Qidi Wu, Alexander Lerch:
A Large-Scale Multiobjective Particle Swarm Optimizer With Enhanced Balance of Convergence and Diversity. IEEE Trans. Cybern. 54(3): 1596-1607 (2024)- [j13]Chaeyeon Han, Pavan Seshadri, Yiwei Ding, Noah Posner, Bon-Woo Koo, Animesh Agrawal, Alexander Lerch, Subhrajit Guhathakurta:
Understanding pedestrian movement using urban sensing technologies: the promise of audio-based sensors. Urban Inform. 3(1): 22 (2024) - [c49]Yiwei Ding, Alexander Lerch:
Embedding Compression for Teacher-to-Student Knowledge Transfer. ICASSP Workshops 2024: 403-407 - [c48]Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo, Noah Posner, Subhrajit Guhathakurta, Alexander Lerch:
ASPED: An Audio Dataset for Detecting Pedestrians. ICASSP 2024: 406-410 - [c47]Karn N. Watcharasupat, Alexander Lerch:
Quantifying Spatial Audio Quality Impairment. ICASSP 2024: 746-750 - [c46]Shimiao Liu, Alexander Lerch:
Enhancing Video Music Recommendation with Transformer-Driven Audio-Visual Embeddings. IS2 2024: 1-6 - [i36]Yiwei Ding, Alexander Lerch:
Embedding Compression for Teacher-to-Student Knowledge Transfer. CoRR abs/2402.06761 (2024) - [i35]Chaeyeon Han, Pavan Seshadri, Yiwei Ding, Noah Posner, Bon-Woo Koo, Animesh Agrawal, Alexander Lerch, Subhrajit Guhathakurta:
Understanding Pedestrian Movement Using Urban Sensing Technologies: The Promise of Audio-based Sensors. CoRR abs/2406.09998 (2024) - [i34]Karn N. Watcharasupat, Alexander Lerch:
A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems. CoRR abs/2406.18747 (2024) - [i33]T. Aleksandra Ma, Alexander Lerch:
Music auto-tagging in the long tail: A few-shot approach. CoRR abs/2409.07730 (2024) - 2023
- [c45]Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch:
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. ICASSP 2023: 1-5 - [c44]Yiwei Ding, Alexander Lerch:
Audio Embeddings as Teachers for Music Classification. ISMIR 2023: 579-587 - [c43]Peter Knees, Alexander Lerch:
MILC 2023: 3rd Workshop on Intelligent Music Interfaces for Listening and Creation. IUI Companion 2023: 185-186 - [c42]Hsin-Hung Chen, Alexander Lerch:
Music Instrument Classification Reprogrammed. MMM (1) 2023: 345-357 - [i32]Karn N. Watcharasupat, Alexander Lerch:
Evaluation of Spatial Distortion in Multichannel Audio. CoRR abs/2306.08053 (2023) - [i31]Yiwei Ding, Alexander Lerch:
Audio Embeddings as Teachers for Music Classification. CoRR abs/2306.17424 (2023) - [i30]Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding, Iroro Orife, Aaron J. Hipple, Phillip A. Williams, Scott Kramer, Alexander Lerch, William Wolcott:
A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation. CoRR abs/2309.02539 (2023) - [i29]Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo, Noah Posner, Subhrajit Guhathakurta, Alexander Lerch:
ASPED: An Audio Dataset for Detecting Pedestrians. CoRR abs/2309.06531 (2023) - [i28]Ashvala Vinay, Alexander Lerch:
AQUATK: An Audio Quality Assessment Toolkit. CoRR abs/2311.10113 (2023) - 2022
- [j12]Yun-Ning Hung, Chih-Wei Wu, Iroro Orife, Aaron Hipple, William Wolcott, Alexander Lerch:
A large TV dataset for speech and music activity detection. EURASIP J. Audio Speech Music. Process. 2022(1): 21 (2022) - [j11]Weian Guo, Zhenyao Hua, Zecheng Kang, Dongyang Li, Lei Wang, Qidi Wu, Alexander Lerch:
Deep reinforcement learning for urban multi-taxis cruising strategy. Neural Comput. Appl. 34(19): 16275-16289 (2022) - [j10]Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch:
Latte: Cross-framework Python package for evaluation of latent-based generative models. Softw. Impacts 11: 100222 (2022) - [j9]Alexander Lerch:
libACA, pyACA, and ACA-Code: Audio content analysis in 3 languages. Softw. Impacts 13: 100349 (2022) - [c41]Yun-Ning Hung, Alexander Lerch:
Feature-informed Embedding Space Regularization For Audio Classification. EUSIPCO 2022: 419-423 - [c40]Ashvala Vinay, Alexander Lerch:
Evaluating Generative Audio Systems and Their Metrics. ISMIR 2022: 858-865 - [c39]Alison B. Ma, Alexander Lerch:
Representation Learning for the Automatic Indexing of Sound Effects Libraries. ISMIR 2022: 866-875 - [i27]Vedant Kalbag, Alexander Lerch:
Scream Detection in Heavy Metal Music. CoRR abs/2205.05580 (2022) - [i26]Yun-Ning Hung, Alexander Lerch:
Feature-informed Embedding Space Regularization For Audio Classification. CoRR abs/2206.04850 (2022) - [i25]Alexander Lerch:
libACA, pyACA, and ACA-Code: Audio Content Analysis in 3 Languages. CoRR abs/2206.15219 (2022) - [i24]Alison B. Ma, Alexander Lerch:
Representation Learning for the Automatic Indexing of Sound Effects Libraries. CoRR abs/2208.09096 (2022) - [i23]Ashvala Vinay, Alexander Lerch:
Evaluating generative audio systems and their metrics. CoRR abs/2209.00130 (2022) - [i22]Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch:
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. CoRR abs/2211.01317 (2022) - [i21]Hsin-Hung Chen, Alexander Lerch:
Music Instrument Classification Reprogrammed. CoRR abs/2211.08379 (2022) - 2021
- [j8]Ashis Pati, Alexander Lerch:
Attribute-based regularization of latent spaces for variational auto-encoders. Neural Comput. Appl. 33(9): 4429-4444 (2021) - [j7]Dongyang Li, Weian Guo, Alexander Lerch, Yongmei Li, Lei Wang, Qidi Wu:
An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization. Swarm Evol. Comput. 60: 100789 (2021) - [c38]Ashvala Vinay, Alexander Lerch, Grace Leslie:
Mind the Beat: Detecting Audio Onsets from EEG Recordings of Music Listening. ICASSP 2021: 231-235 - [c37]Siddharth Gururani, Alexander Lerch:
Semi-Supervised Audio Classification with Partially Labeled Data. ISM 2021: 111-114 - [c36]Ashis Pati, Alexander Lerch:
Is Disentanglement enough? On Latent Representations for Controllable Music Generation. ISMIR 2021: 517-524 - [c35]Pavan Seshadri, Alexander Lerch:
Improving Music Performance Assessment With Contrastive Learning. ISMIR 2021: 634-641 - [e1]Jin Ha Lee, Alexander Lerch, Zhiyao Duan, Juhan Nam, Preeti Rao, Peter van Kranenburg, Ajay Srinivasamurthy:
Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021, Online, November 7-12, 2021. 2021, ISBN 978-1-7327299-0-2 [contents] - [i20]Alexander Lerch:
Audio Content Analysis. CoRR abs/2101.00132 (2021) - [i19]Ashvala Vinay, Alexander Lerch, Grace Leslie:
Mind the beat: detecting audio onsets from EEG recordings of music listening. CoRR abs/2102.06393 (2021) - [i18]Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani:
An Interdisciplinary Review of Music Performance Analysis. CoRR abs/2104.09018 (2021) - [i17]Ashis Pati, Alexander Lerch:
Is Disentanglement enough? On Latent Representations for Controllable Music Generation. CoRR abs/2108.01450 (2021) - [i16]Pavan Seshadri, Alexander Lerch:
Improving Music Performance Assessment with Contrastive Learning. CoRR abs/2108.01711 (2021) - [i15]Karn N. Watcharasupat, Alexander Lerch:
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes. CoRR abs/2110.05587 (2021) - [i14]Siddharth Gururani, Alexander Lerch:
Semi-Supervised Audio Classification with Partially Labeled Data. CoRR abs/2111.12761 (2021) - [i13]Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch:
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models. CoRR abs/2112.10638 (2021) - 2020
- [j6]Li-Chia Yang, Alexander Lerch:
On the evaluation of generative models in music. Neural Comput. Appl. 32(9): 4773-4784 (2020) - [j5]Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani:
An Interdisciplinary Review of Music Performance Analysis. Trans. Int. Soc. Music. Inf. Retr. 3(1): 221-245 (2020) - [c34]Li-Chia Yang, Alexander Lerch:
Remixing Music with Visual Conditioning. ISM 2020: 181-188 - [c33]Yihao Chen, Alexander Lerch:
Melody-Conditioned Lyrics Generation with SeqGANs. ISM 2020: 189-196 - [c32]Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch:
dMelodies: A Music Dataset for Disentanglement Learning. ISMIR 2020: 125-133 - [c31]Yun-Ning Hung, Alexander Lerch:
Multitask Learning for Instrument Activation Aware Music Source Separation. ISMIR 2020: 748-755 - [c30]Jiawen Huang, Yun-Ning Hung, Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch:
Score-informed Networks for Music Performance Assessment. ISMIR 2020: 908-915 - [i12]Ashis Pati, Alexander Lerch:
Attribute-based Regularization of VAE Latent Spaces. CoRR abs/2004.05485 (2020) - [i11]Karn Watcharasupat, Siddharth Gururani, Alexander Lerch:
Visual Attention for Musical Instrument Recognition. CoRR abs/2006.09640 (2020) - [i10]Ashis Pati, Siddharth Gururani, Alexander Lerch:
dMelodies: A Music Dataset for Disentanglement Learning. CoRR abs/2007.15067 (2020) - [i9]Jiawen Huang, Yun-Ning Hung, Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch:
Score-informed Networks for Music Performance Assessment. CoRR abs/2008.00203 (2020) - [i8]Yun-Ning Hung, Alexander Lerch:
Multitask learning for instrument activation aware music source separation. CoRR abs/2008.00616 (2020) - [i7]Li-Chia Yang, Alexander Lerch:
Remixing Music with Visual Conditioning. CoRR abs/2010.14565 (2020) - [i6]Yihao Chen, Alexander Lerch:
Melody-Conditioned Lyrics Generation with SeqGANs. CoRR abs/2010.14709 (2020)
2010 – 2019
- 2019
- [j4]Hongzhao Guan, Alexander Lerch:
Evaluation of Feature Learning Methods for Voice Disorder Detection. Int. J. Semantic Comput. 13(4): 453-470 (2019) - [c29]Yi Qin, Alexander Lerch:
Tuning Frequency Dependency in Music Classification. ICASSP 2019: 401-405 - [c28]Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani:
Music Performance Analysis: A Survey. ISMIR 2019: 33-43 - [c27]Siddharth Gururani, Mohit Sharma, Alexander Lerch:
An Attention Mechanism for Musical Instrument Recognition. ISMIR 2019: 83-90 - [c26]Ashis Pati, Alexander Lerch, Gaëtan Hadjeres:
Learning to Traverse Latent Spaces for Musical Score Inpainting. ISMIR 2019: 343-351 - [c25]Jiawen Huang, Alexander Lerch:
Automatic Assessment of Sight-reading Exercises. ISMIR 2019: 581-587 - [c24]Hongzhao Guan, Alexander Lerch:
Learning Strategies for Voice Disorder Detection. ICSC 2019: 295-301 - [i5]Alexander Lerch, Claire Arthur, Kumar Ashis Pati, Siddharth Gururani:
Music Performance Analysis: A Survey. CoRR abs/1907.00178 (2019) - [i4]Ashis Pati, Alexander Lerch, Gaëtan Hadjeres:
Learning to Traverse Latent Spaces for Musical Score Inpainting. CoRR abs/1907.01164 (2019) - [i3]Siddharth Gururani, Mohit Sharma, Alexander Lerch:
An Attention Mechanism for Musical Instrument Recognition. CoRR abs/1907.04294 (2019) - [i2]Benjamin Genchel, Ashis Pati, Alexander Lerch:
Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs. CoRR abs/1907.05208 (2019) - 2018
- [j3]Anna Xambó, Alexander Lerch, Jason Freeman:
Music Information Retrieval in Live Coding: A Theoretical Framework. Comput. Music. J. 42(4): 9-25 (2018) - [j2]Chih-Wei Wu, Alexander Lerch:
Assessment of Percussive Music Performances with Feature Learning. Int. J. Semantic Comput. 12(3): 315-333 (2018) - [j1]Chih-Wei Wu, Christian Dittmar, Carl Southall, Richard Vogl, Gerhard Widmer, Jason Hockman, Meinard Müller, Alexander Lerch:
A Review of Automatic Drum Transcription. IEEE ACM Trans. Audio Speech Lang. Process. 26(9): 1457-1483 (2018) - [c23]Chih-Wei Wu, Alexander Lerch:
From Labeled to Unlabeled Data - On the Data Challenge in Automatic Drum Transcription. ISMIR 2018: 445-452 - [c22]Siddharth Gururani, Cameron Summers, Alexander Lerch:
Instrument Activity Detection in Polyphonic Music using Deep Neural Networks. ISMIR 2018: 569-576 - [c21]Vinod Subramanian, Alexander Lerch:
Concert Stitch: Organization and Synchronization of Crowd Sourced Recordings. ISMIR 2018: 608-614 - [c20]Anna Xambó, Gerard Roma, Alexander Lerch, Mathieu Barthet, György Fazekas:
Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases. NIME 2018: 364-369 - [c19]Chih-Wei Wu, Alexander Lerch:
Learned Features for the Assessment of Percussive Music Performances. ICSC 2018: 93-99 - 2017
- [c18]Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu:
Learning to Fuse Music Genres with Generative Adversarial Dual Learning. ICDM 2017: 817-822 - [c17]Siddharth Gururani, Alexander Lerch:
Automatic Sample Detection in Polyphonic Music. ISMIR 2017: 264-271 - [c16]Chih-Wei Wu, Alexander Lerch:
Automatic Drum Transcription Using the Student-Teacher Learning Paradigm with Unlabeled Music Data. ISMIR 2017: 613-620 - [c15]Kumar Ashis Pati, Alexander Lerch:
A Dataset and Method for Guitar Solo Detection in Rock Music. Semantic Audio 2017 - [c14]Amruta Vidwans, Siddharth Gururani, Chih-Wei Wu, Vinod Subramanian, Rupak Swaminathan, Alexander Lerch:
Objective Descriptors for the Assessment of Student Music Performances. Semantic Audio 2017 - [i1]Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu:
Learning to Fuse Music Genres with Generative Adversarial Dual Learning. CoRR abs/1712.01456 (2017) - 2016
- [c13]Yen-Cheng Lu, Chih-Wei Wu, Alexander Lerch, Chang-Tien Lu:
Automatic Outlier Detection in Music Genre Datasets. ISMIR 2016: 101-107 - [c12]Chih-Wei Wu, Alexander Lerch:
On Drum Playing Technique Detection in Polyphonic Mixtures. ISMIR 2016: 218-224 - [c11]R. Michael Winters, Siddharth Gururani, Alexander Lerch:
Automatic Practice Logging: Introduction, Dataset & Preliminary Study. ISMIR 2016: 598-604 - [c10]Yen-Cheng Lu, Chih-Wei Wu, Chang-Tien Lu, Alexander Lerch:
An Unsupervised Approach to Anomaly Detection in Music Datasets. SIGIR 2016: 749-752 - 2015
- [c9]Chih-Wei Wu, Alexander Lerch:
Drum transcription using partially fixed non-negative matrix factorization. EUSIPCO 2015: 1281-1285 - [c8]Cian O'Brien, Alexander Lerch:
Genre-specific Key Profiles. ICMC 2015 - [c7]Xinquan Zhou, Alexander Lerch:
Chord Detection Using Deep Learning. ISMIR 2015: 52-58 - [c6]Chih-Wei Wu, Alexander Lerch:
Drum Transcription Using Partially Fixed Non-Negative Matrix Factorization with Template Adaptation. ISMIR 2015: 257-263 - [c5]Athanasios Lykartsis, Chih-Wei Wu, Alexander Lerch:
Beat Histogram Features from NMF-Based Novelty Functions for Music Classification. ISMIR 2015: 434-440 - [c4]Udit Gupta, Elliot Moore II, Alexander Lerch:
On the perceptual relevance of objective source separation measures for singing voice separation. WASPAA 2015: 1-5 - 2014
- [c3]Henrik von Coler, Alexander Lerch:
CMMSD: A Data Set for Note-Level Segmentation of Monophonic Music. Semantic Audio 2014 - 2011
- [c2]Steven R. Ness, Alex Lerch, George Tzanetakis:
Strategies for orca call retrieval to support collaborative annotation of a large archive. MMSP 2011: 1-6
2000 – 2009
- 2008
- [b1]Alexander Lerch:
Software based extraction of objective parameters from music performances. Berlin Institute of Technology, Germany, 2008 - 2006
- [c1]Alexander Lerch:
On the Requirement of Automatic Tuning Frequency Estimation. ISMIR 2006: 212-215
Coauthor Index
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