◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. M. Ramírez

3 papers here

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.AS3

identity via Semantic Scholar / OpenAlex

most citedA general-purpose deep learning approach to model time-varying audio effects

13 citations · 13 across the 1 of their papers we have counts for

collaborators

3 papers

eess.AS2019

Modeling plate and spring reverberation using a DSP-informed deep neural network

Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss

Plate and spring reverberators are electromechanical systems first used and researched as means to substitute real room reverberation. Nowadays they are often used in music product…

eess.AS2019★ 13 cited

A general-purpose deep learning approach to model time-varying audio effects

Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss

Audio processors whose parameters are modified periodically over time are often referred as time-varying or modulation based audio effects. Most existing methods for modeling these…

eess.AS2019

Ensemble Models for Spoofing Detection in Automatic Speaker Verification

Bhusan Chettri, Daniel Stoller, Veronica Morfi +3

Detecting spoofing attempts of automatic speaker verification (ASV) systems is challenging, especially when using only one modeling approach. For robustness, we use both deep neura…

◍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.