14 citations · 20 across the 5 of their papers we have counts for
7 papers
Multi-agent Auditory Scene Analysis: Improved Localization Speed and Robustness by Multi-beamformed Speech Quality Feedback
Caleb Rascon
A real-time auditory scene analyzer (ASA) aims to carry out the tasks of locating, separating and classifying the sound sources present in a given acoustic environment. Recently, a…
Multi-agent Auditory Scene Analysis
Caleb Rascon, Luis Gato-Diaz, Eduardo García-Alarcón
Auditory scene analysis (ASA) aims to retrieve information from the acoustic environment, by carrying out three main tasks: sound source location, separation, and classification. T…
Direction of Arrival Correction through Speech Quality Feedback
Caleb Rascon
Real-time speech enhancement has began to rise in performance, and the Demucs Denoiser model has recently demonstrated strong performance in multiple-speech-source scenarios when a…
PlumberNet: Fixing interference leakage after GEV beamforming
François Grondin, Caleb Rascón
Spatial filters can exploit deep-learning-based speech enhancement models to increase their reliability in scenarios with multiple speech sources scenarios. To further improve spee…
Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments
Ivette Velez, Caleb Rascon, Gibran Fuentes-Pineda
Verifying if two audio segments belong to the same speaker has been recently put forward as a flexible way to carry out speaker identification, since it does not require to be re-t…
Lightweight Online Separation of the Sound Source of Interest through BLSTM-Based Binary Masking
Alejandro Maldonado, Caleb Rascon, Ivette Velez
Online audio source separation has been an important part of auditory scene analysis and robot audition. The main type of technique to carry this out, because of its online capabil…