A Single Input Model for Sequential Processing of Speech Separation [PDF]
Speech separation based on auditory scene analysis (ASA) has been widely studied. A computational ASA (CASA) model, in which a mixed signal is sequentially decomposed into frequency signals, has been also proposed. Four feature types of ASA are extracted
Ichikawa, Motohiro +9 more
core
Separación de hablantes en tiempo real usando técnicas de Deep Learning
, 2022 RESUMEN : La separación de hablantes (Speaker Separation/Multitalker separation), es un tarea que consiste en separar en diferentes audios, las intervenciones individuales de los hablantes involucrados a partir de una mezcla auditiva.
Arango Sánchez, Jose Alberto
core
Spontaneous and explicit speech imitation
, 2013 The single word speech shadowing task typically produces spontaneous imitation of the speech of the shadowed talker (the model). This task has been used as a tool for examining speech convergence in a non-social setting and has provided data for claims ...
Demirdjian, Ruben (R17699) +2 more
core
The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Audio Source Separation
, 2012 International audienceThis paper summarizes the audio part of the 2011 community-based Signal Separation Evaluation Campaign (SiSEC2011). Four speech and music datasets were contributed, including datasets recorded in noisy or dynamic environments and a ...
Z. Koldovský +26 more
core +1 more source
Characterizing covert articulation in apraxic speech using real-time MRI
, 2012 We explore the use of real-time magnetic resonance imaging (rtMRI) as a tool to investigate apraxic speech, in particular, by examining articulatory behavior.
Gorno Tempini, Maria Luisa +4 more
core
Blind speech separation using a joint model of speech production
, 2005 We propose a new blind signal separation (BSS) technique, developed specifically for speech, that exploits a priori knowledge of speech production mechanisms.
D Smith (12025) +2 more
core +1 more source
Speech intelligibility in various spatial configurations of background noise
Archives of Acoustics, 2005 This study is concerned with the influence of spatial separation of disturbing sources of noise on the speech intelligibility. Spatial separation of speech and disturbing sources without changing their acoustic power may contribute to the ...
J. Kociński, A. Sęk
doaj
Deep Learning Based Binaural Speech Separation in Reverberant Environments. [PDF]
IEEE/ACM Trans Audio Speech Lang Process, 2017 Zhang X, Wang D.
europepmc +1 more source
Long short-term memory for speaker generalization in supervised speech separation. [PDF]
J Acoust Soc Am, 2017 Chen J, Wang D.
europepmc +1 more source
A Robust Bilinear Framework for Real-Time Speech Separation and Dereverberation in Wearable Augmented Reality. [PDF]
Sensors (Basel)Nemirovsky A, Itzhak G, Cohen I.
europepmc +1 more source