22 citations · 104 across the 29 of their papers we have counts for
9 papers · 1 filter
Music Instrument Classification Reprogrammed
Hsin-Hung Chen, Alexander Lerch
The performance of approaches to Music Instrument Classification, a popular task in Music Information Retrieval, is often impacted and limited by the lack of availability of annota…
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming
Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen +1
Transfer learning (TL) approaches have shown promising results when handling tasks with limited training data. However, considerable memory and computational resources are often re…
Evaluating generative audio systems and their metrics
Ashvala Vinay, Alexander Lerch
Recent years have seen considerable advances in audio synthesis with deep generative models. However, the state-of-the-art is very difficult to quantify; different studies often us…
Representation Learning for the Automatic Indexing of Sound Effects Libraries
Alison B. Ma, Alexander Lerch
Labeling and maintaining a commercial sound effects library is a time-consuming task exacerbated by databases that continually grow in size and undergo taxonomy updates. Moreover,…
libACA, pyACA, and ACA-Code: Audio Content Analysis in 3 Languages
Alexander Lerch
The three packages libACA, pyACA, and ACA-Code provide reference implementations for basic approaches and algorithms for the analysis of musical audio signals in three different la…
Feature-informed Embedding Space Regularization For Audio Classification
Yun-Ning Hung, Alexander Lerch
Feature representations derived from models pre-trained on large-scale datasets have shown their generalizability on a variety of audio analysis tasks. Despite this generalizabilit…