◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Lior Wolf

62 papers hereh-index 387.4k citations157 works total

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

author position
  • first author1
  • middle author11
  • last author48

Across the 60 of 62 papers where every author was matched, so the position is known.

fields
  • cs.CV22
  • cs.LG15
  • eess.IV7
  • cs.IT4
  • eess.AS4
  • cs.SD3
same name
  • Lior Wolf — 45 papers, h 64
  • Lior Wolf — 33 papers
  • Lior Wolf — 3 papers
  • Lior Wolf — 2 papers
  • Lior Wolf — 1 paper
  • Lior Wolf — 1 paper, h 3

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 citedData Augmenting Contrastive Learning of Speech Representations in the Time Domain

93 citations · 259 across the 35 of their papers we have counts for

collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2020★ 1 cited

Hierarchical Timbre-Painting and Articulation Generation

Michael Michelashvili, Lior Wolf

We present a fast and high-fidelity method for music generation, based on specified f0 and loudness, such that the synthesized audio mimics the timbre and articulation of a target…

eess.AS2020

Unsupervised Cross-Domain Singing Voice Conversion

Adam Polyak, Lior Wolf, Yossi Adi +1

We present a wav-to-wav generative model for the task of singing voice conversion from any identity. Our method utilizes both an acoustic model, trained for the task of automatic s…

eess.AS2020★ 93 cited

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve +4

Contrastive Predictive Coding (CPC), based on predicting future segments of speech based on past segments is emerging as a powerful algorithm for representation learning of speech…

eess.AS2020

Voice Separation with an Unknown Number of Multiple Speakers

Eliya Nachmani, Yossi Adi, Lior Wolf

We present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separ…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.