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Alexander Lerch

29 papers hereh-index 232.1k citations107 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author3
  • last author24

Across the 29 of 29 papers where every author was matched, so the position is known.

fields
  • cs.SD14
  • eess.AS8
  • cs.LG5
  • cs.IR2
same name
  • Alexander Lerch — 6 papers, h 2
  • Alexander Lerch — 5 papers, h 2
  • Alexander Lerch — 5 papers, h 1
  • Alexander Lerch — 4 papers, h 3
  • Alexander Lerch — 3 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedLearning to Traverse Latent Spaces for Musical Score Inpainting

22 citations · 104 across the 29 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.SD2019★ 10 cited

Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs

Benjamin Genchel, Ashis Pati, Alexander Lerch

Deep generative models for symbolic music are typically designed to model temporal dependencies in music so as to predict the next musical event given previous events. In many case…

cs.IR2019★ 7 cited

An Attention Mechanism for Musical Instrument Recognition

Siddharth Gururani, Mohit Sharma, Alexander Lerch

While the automatic recognition of musical instruments has seen significant progress, the task is still considered hard for music featuring multiple instruments as opposed to singl…

cs.LG2019★ 22 cited

Learning to Traverse Latent Spaces for Musical Score Inpainting

Ashis Pati, Alexander Lerch, Gaëtan Hadjeres

Music Inpainting is the task of filling in missing or lost information in a piece of music. We investigate this task from an interactive music creation perspective. To this end, a…

cs.IR2019★ 21 cited

Music Performance Analysis: A Survey

Alexander Lerch, Claire Arthur, Ashis Pati +1

Music Information Retrieval (MIR) tends to focus on the analysis of audio signals. Often, a single music recording is used as representative of a "song" even though different perfo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.