Alexander Lerch

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 88

Top Venues

Berlin Institute of Technology, Germany (PHD)

Education History

Berlin Institute of Technology, Germany

PHD

Publications

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) (2024)
Yiwei Ding, Alexander Lerch
Embedding Compression for Teacher-to-Student Knowledge Transfer. CoRR (2024)
Yiwei Ding, Alexander Lerch
Audio Embeddings as Teachers for Music Classification. ISMIR (2023)
Hsin-Hung Chen, Alexander Lerch
Music Instrument Classification Reprogrammed. MMM (1) (2023)
Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo, Noah Posner, Subhrajit Guhathakurta, Alexander Lerch
ASPED: An Audio Dataset for Detecting Pedestrians. CoRR (2023)
Karn N. Watcharasupat, Alexander Lerch
Evaluation of Spatial Distortion in Multichannel Audio. CoRR (2023)
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)
Ashvala Vinay, Alexander Lerch
AQUATK: An Audio Quality Assessment Toolkit. CoRR (2023)
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 (2023)
Peter Knees, Alexander Lerch
MILC 2023: 3rd Workshop on Intelligent Music Interfaces for Listening and Creation. IUI Companion (2023)
Yiwei Ding, Alexander Lerch
Audio Embeddings as Teachers for Music Classification. CoRR (2023)
Ashvala Vinay, Alexander Lerch
Evaluating generative audio systems and their metrics. CoRR (2022)
Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. CoRR (2022)
Ashvala Vinay, Alexander Lerch
Evaluating Generative Audio Systems and Their Metrics. ISMIR (2022)
Hsin-Hung Chen, Alexander Lerch
Music Instrument Classification Reprogrammed. CoRR (2022)
Yun-Ning Hung, Alexander Lerch
Feature-informed Embedding Space Regularization For Audio Classification. CoRR (2022)
Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch
Latte: Cross-framework Python package for evaluation of latent-based generative models. Softw. Impacts 11 (2022)
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) (2022)
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) (2022)
Vedant Kalbag, Alexander Lerch
Scream Detection in Heavy Metal Music. CoRR (2022)
Yun-Ning Hung, Alexander Lerch
Feature-informed Embedding Space Regularization For Audio Classification. EUSIPCO (2022)
Alexander Lerch
libACA, pyACA, and ACA-Code: Audio Content Analysis in 3 Languages. CoRR (2022)
Alexander Lerch
libACA, pyACA, and ACA-Code: Audio content analysis in 3 languages. Softw. Impacts 13 (2022)
Alison B. Ma, Alexander Lerch
Representation Learning for the Automatic Indexing of Sound Effects Libraries. CoRR (2022)
Alison B. Ma, Alexander Lerch
Representation Learning for the Automatic Indexing of Sound Effects Libraries. ISMIR (2022)
Karn N. Watcharasupat, Alexander Lerch
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes. CoRR (2021)
Siddharth Gururani, Alexander Lerch
Semi-Supervised Audio Classification with Partially Labeled Data. CoRR (2021)
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 (2021)
Ashvala Vinay, Alexander Lerch, Grace Leslie
Mind the Beat: Detecting Audio Onsets from EEG Recordings of Music Listening. ICASSP (2021)
Siddharth Gururani, Alexander Lerch
Semi-Supervised Audio Classification with Partially Labeled Data. ISM (2021)
Ashvala Vinay, Alexander Lerch, Grace Leslie
Mind the beat: detecting audio onsets from EEG recordings of music listening. CoRR (2021)
Ashis Pati, Alexander Lerch
Is Disentanglement enough? On Latent Representations for Controllable Music Generation. ISMIR (2021)
Ashis Pati, Alexander Lerch
Attribute-based regularization of latent spaces for variational auto-encoders. Neural Comput. Appl. 33 (9) (2021)
Ashis Pati, Alexander Lerch
Is Disentanglement enough? On Latent Representations for Controllable Music Generation. CoRR (2021)
Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models. CoRR (2021)
Pavan Seshadri, Alexander Lerch
Improving Music Performance Assessment With Contrastive Learning. ISMIR (2021)
Alexander Lerch
Audio Content Analysis. CoRR (2021)
Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani
An Interdisciplinary Review of Music Performance Analysis. CoRR (2021)
Pavan Seshadri, Alexander Lerch
Improving Music Performance Assessment with Contrastive Learning. CoRR (2021)
Yihao Chen, Alexander Lerch
Melody-Conditioned Lyrics Generation with SeqGANs. CoRR (2020)
Karn Watcharasupat, Siddharth Gururani, Alexander Lerch
Visual Attention for Musical Instrument Recognition. CoRR (2020)
Yun-Ning Hung, Alexander Lerch
Multitask Learning for Instrument Activation Aware Music Source Separation. ISMIR (2020)
Jiawen Huang, Yun-Ning Hung, Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch
Score-informed Networks for Music Performance Assessment. CoRR (2020)
Li-Chia Yang, Alexander Lerch
On the evaluation of generative models in music. Neural Comput. Appl. 32 (9) (2020)
Jiawen Huang, Yun-Ning Hung, Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch
Score-informed Networks for Music Performance Assessment. ISMIR (2020)
Li-Chia Yang, Alexander Lerch
Remixing Music with Visual Conditioning. ISM (2020)
Yihao Chen, Alexander Lerch
Melody-Conditioned Lyrics Generation with SeqGANs. ISM (2020)
Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani
An Interdisciplinary Review of Music Performance Analysis. Trans. Int. Soc. Music. Inf. Retr. 3 (1) (2020)
Ashis Pati, Siddharth Kumar Gururani, Alexander Lerch
dMelodies: A Music Dataset for Disentanglement Learning. ISMIR (2020)
Ashis Pati, Siddharth Gururani, Alexander Lerch
dMelodies: A Music Dataset for Disentanglement Learning. CoRR (2020)
Li-Chia Yang, Alexander Lerch
Remixing Music with Visual Conditioning. CoRR (2020)
Yun-Ning Hung, Alexander Lerch
Multitask learning for instrument activation aware music source separation. CoRR (2020)
Ashis Pati, Alexander Lerch
Attribute-based Regularization of VAE Latent Spaces. CoRR (2020)
Benjamin Genchel, Ashis Pati, Alexander Lerch
Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs. CoRR (2019)
Siddharth Gururani, Mohit Sharma, Alexander Lerch
An Attention Mechanism for Musical Instrument Recognition. CoRR (2019)
Yi Qin, Alexander Lerch
Tuning Frequency Dependency in Music Classification. ICASSP (2019)
Jiawen Huang, Alexander Lerch
Automatic Assessment of Sight-reading Exercises. ISMIR (2019)
Alexander Lerch, Claire Arthur, Kumar Ashis Pati, Siddharth Gururani
Music Performance Analysis: A Survey. CoRR (2019)
Ashis Pati, Alexander Lerch, Gaëtan Hadjeres
Learning to Traverse Latent Spaces for Musical Score Inpainting. ISMIR (2019)
Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani
Music Performance Analysis: A Survey. ISMIR (2019)
Hongzhao Guan, Alexander Lerch
Evaluation of Feature Learning Methods for Voice Disorder Detection. Int. J. Semantic Comput. 13 (4) (2019)
Ashis Pati, Alexander Lerch, Gaëtan Hadjeres
Learning to Traverse Latent Spaces for Musical Score Inpainting. CoRR (2019)
Siddharth Gururani, Mohit Sharma, Alexander Lerch
An Attention Mechanism for Musical Instrument Recognition. ISMIR (2019)
Hongzhao Guan, Alexander Lerch
Learning Strategies for Voice Disorder Detection. ICSC (2019)
Anna Xambó, Gerard Roma, Alexander Lerch, Mathieu Barthet, György Fazekas
Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases. NIME (2018)
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) (2018)
Chih-Wei Wu, Alexander Lerch
Learned Features for the Assessment of Percussive Music Performances. ICSC (2018)
Anna Xambó, Alexander Lerch, Jason Freeman
Music Information Retrieval in Live Coding: A Theoretical Framework. Comput. Music. J. 42 (4) (2018)
Chih-Wei Wu, Alexander Lerch
From Labeled to Unlabeled Data - On the Data Challenge in Automatic Drum Transcription. ISMIR (2018)
Siddharth Gururani, Cameron Summers, Alexander Lerch
Instrument Activity Detection in Polyphonic Music using Deep Neural Networks. ISMIR (2018)
Vinod Subramanian, Alexander Lerch
Concert Stitch: Organization and Synchronization of Crowd Sourced Recordings. ISMIR (2018)
Chih-Wei Wu, Alexander Lerch
Assessment of Percussive Music Performances with Feature Learning. Int. J. Semantic Comput. 12 (3) (2018)
Kumar Ashis Pati, Alexander Lerch
A Dataset and Method for Guitar Solo Detection in Rock Music. Semantic Audio (2017)
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)
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)
Chih-Wei Wu, Alexander Lerch
Automatic Drum Transcription Using the Student-Teacher Learning Paradigm with Unlabeled Music Data. ISMIR (2017)
Siddharth Gururani, Alexander Lerch
Automatic Sample Detection in Polyphonic Music. ISMIR (2017)
Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu
Learning to Fuse Music Genres with Generative Adversarial Dual Learning. CoRR (2017)
R. Michael Winters, Siddharth Gururani, Alexander Lerch
Automatic Practice Logging: Introduction, Dataset & Preliminary Study. ISMIR (2016)
Chih-Wei Wu, Alexander Lerch
On Drum Playing Technique Detection in Polyphonic Mixtures. ISMIR (2016)
Yen-Cheng Lu, Chih-Wei Wu, Alexander Lerch, Chang-Tien Lu
Automatic Outlier Detection in Music Genre Datasets. ISMIR (2016)
Yen-Cheng Lu, Chih-Wei Wu, Chang-Tien Lu, Alexander Lerch
An Unsupervised Approach to Anomaly Detection in Music Datasets. SIGIR (2016)
Athanasios Lykartsis, Chih-Wei Wu, Alexander Lerch
Beat Histogram Features from NMF-Based Novelty Functions for Music Classification. ISMIR (2015)
Cian O'Brien, Alexander Lerch
Genre-specific Key Profiles. ICMC (2015)
Xinquan Zhou, Alexander Lerch
Chord Detection Using Deep Learning. ISMIR (2015)
Chih-Wei Wu, Alexander Lerch
Drum transcription using partially fixed non-negative matrix factorization. EUSIPCO (2015)
Chih-Wei Wu, Alexander Lerch
Drum Transcription Using Partially Fixed Non-Negative Matrix Factorization with Template Adaptation. ISMIR (2015)
Udit Gupta, Elliot Moore II, Alexander Lerch
On the perceptual relevance of objective source separation measures for singing voice separation. WASPAA (2015)
Henrik von Coler, Alexander Lerch
CMMSD: A Data Set for Note-Level Segmentation of Monophonic Music. Semantic Audio (2014)
Alexander Lerch
On the Requirement of Automatic Tuning Frequency Estimation. ISMIR (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Lerch