On the Requirement of Automatic Tuning Frequency Estimation. - Alexander Lerch 001 (ISMIR, 2006)

Software based extraction of objective parameters from music performances. - Alexander Lerch 001 (2008)

Strategies for orca call retrieval to support collaborative annotation of a large archive. - Steven R. Ness; Alex Lerch 001; George Tzanetakis (MMSP, 2011)

CMMSD: A Data Set for Note-Level Segmentation of Monophonic Music. - Henrik von Coler; Alexander Lerch 001 (Semantic Audio, 2014)

Drum transcription using partially fixed non-negative matrix factorization. - Chih-Wei Wu; Alexander Lerch 001 (EUSIPCO, 2015)

Genre-specific Key Profiles. - Cian O'Brien; Alexander Lerch 001 (ICMC, 2015)

Beat Histogram Features from NMF-Based Novelty Functions for Music Classification. - Athanasios Lykartsis; Chih-Wei Wu; Alexander Lerch 001 (ISMIR, 2015)

Drum Transcription Using Partially Fixed Non-Negative Matrix Factorization with Template Adaptation. - Chih-Wei Wu; Alexander Lerch 001 (ISMIR, 2015)

Chord Detection Using Deep Learning. - Xinquan Zhou; Alexander Lerch 001 (ISMIR, 2015)

On the perceptual relevance of objective source separation measures for singing voice separation. - Udit Gupta; Elliot Moore II; Alexander Lerch 001 (WASPAA, 2015)

Automatic Outlier Detection in Music Genre Datasets. - Yen-Cheng Lu; Chih-Wei Wu; Alexander Lerch 001; Chang-Tien Lu (ISMIR, 2016)

Automatic Practice Logging: Introduction, Dataset & Preliminary Study. - R. Michael Winters; Siddharth Gururani; Alexander Lerch 001 (ISMIR, 2016)

On Drum Playing Technique Detection in Polyphonic Mixtures. - Chih-Wei Wu; Alexander Lerch 001 (ISMIR, 2016)

An Unsupervised Approach to Anomaly Detection in Music Datasets. - Yen-Cheng Lu; Chih-Wei Wu; Chang-Tien Lu; Alexander Lerch 001 (SIGIR, 2016)

Learning to Fuse Music Genres with Generative Adversarial Dual Learning. - Zhiqian Chen; Chih-Wei Wu; Yen-Cheng Lu; Alexander Lerch 001; Chang-Tien Lu (ICDM, 2017)

Automatic Sample Detection in Polyphonic Music. - Siddharth Gururani; Alexander Lerch 001 (ISMIR, 2017)

Automatic Drum Transcription Using the Student-Teacher Learning Paradigm with Unlabeled Music Data. - Chih-Wei Wu; Alexander Lerch 001 (ISMIR, 2017)

A Dataset and Method for Guitar Solo Detection in Rock Music. - Kumar Ashis Pati; Alexander Lerch 001 (Semantic Audio, 2017)

Objective Descriptors for the Assessment of Student Music Performances. - Amruta Vidwans; Siddharth Gururani; Chih-Wei Wu; Vinod Subramanian; Rupak Swaminathan; Alexander Lerch 001 (Semantic Audio, 2017)

Instrument Activity Detection in Polyphonic Music using Deep Neural Networks. - Siddharth Gururani; Cameron Summers; Alexander Lerch 001 (ISMIR, 2018)

Concert Stitch: Organization and Synchronization of Crowd Sourced Recordings. - Vinod Subramanian; Alexander Lerch 001 (ISMIR, 2018)

From Labeled to Unlabeled Data - On the Data Challenge in Automatic Drum Transcription. - Chih-Wei Wu; Alexander Lerch 001 (ISMIR, 2018)

Live Repurposing of Sounds: MIR Explorations with Personal and Crowdsourced Databases. - Anna Xambó; Gerard Roma; Alexander Lerch 001; Mathieu Barthet; György Fazekas (NIME, 2018)

Learned Features for the Assessment of Percussive Music Performances. - Chih-Wei Wu; Alexander Lerch 001 (ICSC, 2018)

Music Information Retrieval in Live Coding: A Theoretical Framework. - Anna Xambó; Alexander Lerch 001; Jason Freeman 001 (Comput. Music. J., 2018)

Assessment of Percussive Music Performances with Feature Learning. - Chih-Wei Wu; Alexander Lerch 001 (Int. J. Semantic Comput., 2018)

A Review of Automatic Drum Transcription. - Chih-Wei Wu; Christian Dittmar; Carl Southall; Richard Vogl; Gerhard Widmer; Jason Hockman; Meinard Müller; Alexander Lerch 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Tuning Frequency Dependency in Music Classification. - Yi Qin; Alexander Lerch 001 (ICASSP, 2019)

An Attention Mechanism for Musical Instrument Recognition. - Siddharth Gururani; Mohit Sharma; Alexander Lerch 001 (ISMIR, 2019)

Automatic Assessment of Sight-reading Exercises. - Jiawen Huang; Alexander Lerch 001 (ISMIR, 2019)

Music Performance Analysis: A Survey. - Alexander Lerch 001; Claire Arthur; Ashis Pati; Siddharth Gururani (ISMIR, 2019)

Learning to Traverse Latent Spaces for Musical Score Inpainting. - Ashis Pati; Alexander Lerch 001; Gaëtan Hadjeres (ISMIR, 2019)

Learning Strategies for Voice Disorder Detection. - Hongzhao Guan; Alexander Lerch 001 (ICSC, 2019)

Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs. - Benjamin Genchel; Ashis Pati; Alexander Lerch 001 (CoRR, 2019)

Evaluation of Feature Learning Methods for Voice Disorder Detection. - Hongzhao Guan; Alexander Lerch 001 (Int. J. Semantic Comput., 2019)

Melody-Conditioned Lyrics Generation with SeqGANs. - Yihao Chen; Alexander Lerch 001 (ISM, 2020)

Remixing Music with Visual Conditioning. - Li-Chia Yang; Alexander Lerch 001 (ISM, 2020)

Score-informed Networks for Music Performance Assessment. - Jiawen Huang; Yun-Ning Hung; Ashis Pati; Siddharth Kumar Gururani; Alexander Lerch 001 (ISMIR, 2020)

Multitask Learning for Instrument Activation Aware Music Source Separation. - Yun-Ning Hung; Alexander Lerch 001 (ISMIR, 2020)

dMelodies: A Music Dataset for Disentanglement Learning. - Ashis Pati; Siddharth Kumar Gururani; Alexander Lerch 001 (ISMIR, 2020)

Attribute-based Regularization of VAE Latent Spaces. - Ashis Pati; Alexander Lerch 001 (CoRR, 2020)

Visual Attention for Musical Instrument Recognition. - Karn Watcharasupat; Siddharth Gururani; Alexander Lerch 001 (CoRR, 2020)

On the evaluation of generative models in music. - Li-Chia Yang; Alexander Lerch 001 (Neural Comput. Appl., 2020)

An Interdisciplinary Review of Music Performance Analysis. - Alexander Lerch 001; Claire Arthur; Ashis Pati; Siddharth Gururani (Trans. Int. Soc. Music. Inf. Retr., 2020)

Mind the Beat: Detecting Audio Onsets from EEG Recordings of Music Listening. - Ashvala Vinay; Alexander Lerch 001; Grace Leslie (ICASSP, 2021)

Semi-Supervised Audio Classification with Partially Labeled Data. - Siddharth Gururani; Alexander Lerch 001 (ISM, 2021)

Is Disentanglement enough? On Latent Representations for Controllable Music Generation. - Ashis Pati; Alexander Lerch 001 (ISMIR, 2021)

Improving Music Performance Assessment With Contrastive Learning. - Pavan Seshadri; Alexander Lerch 001 (ISMIR, 2021)

Audio Content Analysis. - Alexander Lerch 001 (CoRR, 2021)

Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes. - Karn N. Watcharasupat; Alexander Lerch 001 (CoRR, 2021)

Attribute-based regularization of latent spaces for variational auto-encoders. - Ashis Pati; Alexander Lerch 001 (Neural Comput. Appl., 2021)

An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization. - Dongyang Li; Weian Guo; Alexander Lerch 001; Yongmei Li; Lei Wang 006; Qidi Wu (Swarm Evol. Comput., 2021)

Feature-informed Embedding Space Regularization For Audio Classification. - Yun-Ning Hung; Alexander Lerch 001 (EUSIPCO, 2022)

Representation Learning for the Automatic Indexing of Sound Effects Libraries. - Alison B. Ma; Alexander Lerch 001 (ISMIR, 2022)

Evaluating Generative Audio Systems and Their Metrics. - Ashvala Vinay; Alexander Lerch 001 (ISMIR, 2022)

Scream Detection in Heavy Metal Music. - Vedant Kalbag; Alexander Lerch 001 (CoRR, 2022)

Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. - Yun-Ning Hung; Chao-Han Huck Yang; Pin-Yu Chen; Alexander Lerch 001 (CoRR, 2022)

A large TV dataset for speech and music activity detection. - Yun-Ning Hung; Chih-Wei Wu; Iroro Orife; Aaron Hipple; William Wolcott; Alexander Lerch 001 (EURASIP J. Audio Speech Music. Process., 2022)

Deep reinforcement learning for urban multi-taxis cruising strategy. - Weian Guo; Zhenyao Hua; Zecheng Kang; Dongyang Li; Lei Wang 006; Qidi Wu; Alexander Lerch 001 (Neural Comput. Appl., 2022)

libACA, pyACA, and ACA-Code: Audio content analysis in 3 languages. - Alexander Lerch 001 (Softw. Impacts, 2022)

Latte: Cross-framework Python package for evaluation of latent-based generative models. - Karn N. Watcharasupat; Junyoung Lee; Alexander Lerch 001 (Softw. Impacts, 2022)

Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. - Yun-Ning Hung; Chao-Han Huck Yang; Pin-Yu Chen; Alexander Lerch 001 (ICASSP, 2023)

Audio Embeddings as Teachers for Music Classification. - Yiwei Ding; Alexander Lerch 001 (ISMIR, 2023)

MILC 2023: 3rd Workshop on Intelligent Music Interfaces for Listening and Creation. - Peter Knees; Alexander Lerch 001 (IUI Companion, 2023)

Music Instrument Classification Reprogrammed. - Hsin-Hung Chen; Alexander Lerch 001 (MMM (1), 2023)

Evaluation of Spatial Distortion in Multichannel Audio. - Karn N. Watcharasupat; Alexander Lerch 001 (CoRR, 2023)

A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation. - Karn N. Watcharasupat; Chih-Wei Wu; Yiwei Ding; Iroro Orife; Aaron J. Hipple; Phillip A. Williams; Scott Kramer; Alexander Lerch 001; William Wolcott (CoRR, 2023)

AQUATK: An Audio Quality Assessment Toolkit. - Ashvala Vinay; Alexander Lerch 001 (CoRR, 2023)

Embedding Compression for Teacher-to-Student Knowledge Transfer. - Yiwei Ding; Alexander Lerch 001 (ICASSP Workshops, 2024)

ASPED: An Audio Dataset for Detecting Pedestrians. - Pavan Seshadri; Chaeyeon Han; Bon-Woo Koo; Noah Posner; Subhrajit Guhathakurta; Alexander Lerch 001 (ICASSP, 2024)

Quantifying Spatial Audio Quality Impairment. - Karn N. Watcharasupat; Alexander Lerch 001 (ICASSP, 2024)

Enhancing Video Music Recommendation with Transformer-Driven Audio-Visual Embeddings. - Shimiao Liu; Alexander Lerch 001 (IS2, 2024)

A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems. - Karn N. Watcharasupat; Alexander Lerch 001 (ISMIR, 2024)

Music auto-tagging in the long tail: A few-shot approach. - T. Aleksandra Ma; Alexander Lerch 001 (CoRR, 2024)

Towards Robust Transcription: Exploring Noise Injection Strategies for Training Data Augmentation. - Yonghyun Kim; Alexander Lerch 001 (CoRR, 2024)

Parameter-Efficient Transfer Learning for Music Foundation Models. - Yiwei Ding; Alexander Lerch 001 (CoRR, 2024)

Understanding pedestrian movement using urban sensing technologies: the promise of audio-based sensors. - Chaeyeon Han; Pavan Seshadri; Yiwei Ding; Noah Posner; Bon-Woo Koo; Animesh Agrawal; Alexander Lerch 001; Subhrajit Guhathakurta (Urban Inform., 2024)

A Large-Scale Multiobjective Particle Swarm Optimizer With Enhanced Balance of Convergence and Diversity. - Dongyang Li; Lei Wang 006; Li Li 008; Weian Guo; Qidi Wu; Alexander Lerch 001 (IEEE Trans. Cybern., 2024)

Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition. - Karn N. Watcharasupat; Yiwei Ding; T. Aleksandra Ma; Pavan Seshadri; Alexander Lerch 001 (ECIR (2), 2025)

Separate This, and All of these Things Around It: Music Source Separation via Hyperellipsoidal Queries. - Karn N. Watcharasupat; Alexander Lerch 001 (CoRR, 2025)

Survey on the Evaluation of Generative Models in Music. - Alexander Lerch 001; Claire Arthur; Nick Bryan-Kinns; Corey Ford 002; Qianyi Sun; Ashvala Vinay (CoRR, 2025)