Results 11 to 20 of about 12,356 (265)

Keyword Based Speaker Localization: Localizing a Target Speaker in a Multi-speaker Environment [PDF]

open access: yesInterspeech 2018, 2018
Speaker localization is a hard task, especially in adverse environmental conditions involving reverberation and noise. In this work we introduce the new task of localizing the speaker who uttered a given keyword, e.g., the wake-up word of a distant-microphone voice command system, in the presence of overlapping speech.
Sivasankaran, Sunit   +2 more
openaire   +2 more sources

A probabilistic framework for multiple speaker localization [PDF]

open access: yes2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
This paper presents a novel probabilistic framework for localizing multiple speakers with a microphone array. In this framework, the generalized cross correlation function (GCC) of each microphone pair is interpreted as a probability distribution of the time difference of arrival (TDOA) and subsequently approximated as a Gaussian mixture.
Oualil, Youssef   +3 more
openaire   +3 more sources

Local training for PLDA in speaker verification [PDF]

open access: yes2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques (O-COCOSDA), 2016
O-COCOSDA ...
Chenghui Zhao   +3 more
openaire   +2 more sources

How to (Virtually) Train Your Speaker Localizer

open access: yesINTERSPEECH 2023, 2023
Learning-based methods have become ubiquitous in speaker localization. Existing systems rely on simulated training sets for the lack of sufficiently large, diverse and annotated real datasets. Most room acoustics simulators used for this purpose rely on the image source method (ISM) because of its computational efficiency.
Srivastava, Prerak   +3 more
openaire   +5 more sources

Local Features for Speaker Recognition [PDF]

open access: yes, 2004
An approach combining a simple local representation method with a k-nearest neighbors-based direct voting scheme is proposed for speaker recognition. This approach rises computational problems that we effectively solved through an approximate fast k-nearest neighbors search technique.
Roberto Paredes   +2 more
openaire   +2 more sources

3D Joint Speaker Position and Orientation Tracking with Particle Filters

open access: yesSensors, 2014
This paper addresses the problem of three-dimensional speaker orientation estimation in a smart-room environment equipped with microphone arrays. A Bayesian approach is proposed to jointly track the location and orientation of an active speaker. The main
Carlos Segura, Javier Hernando
doaj   +1 more source

A recursive expectation-maximization algorithm for speaker tracking and separation

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2021
The problem of blind and online speaker localization and separation using multiple microphones is addressed based on the recursive expectation-maximization (REM) procedure.
Ofer Schwartz, Sharon Gannot
doaj   +1 more source

Short-Term Audiovisual Spatial Training Enhances Electrophysiological Correlates of Auditory Selective Spatial Attention

open access: yesFrontiers in Neuroscience, 2021
Audiovisual cross-modal training has been proposed as a tool to improve human spatial hearing. Here, we investigated training-induced modulations of event-related potential (ERP) components that have been associated with processes of auditory selective ...
Christina Hanenberg   +3 more
doaj   +1 more source

A Coherent Wideband Acoustic Source Localization Using a Uniform Circular Array

open access: yesSensors, 2023
In modern applications such as robotics, autonomous vehicles, and speaker localization, the computational power for sound source localization applications can be limited when other functionalities get more complex.
Meng Jiang   +4 more
doaj   +1 more source

Dynamically localizing multiple speakers based on the time-frequency domain

open access: yesEURASIP Journal on Audio, Speech, and Music Processing, 2021
In this study, we present a deep neural network-based online multi-speaker localization algorithm based on a multi-microphone array. Following the W-disjoint orthogonality principle in the spectral domain, time-frequency (TF) bin is dominated by a single
Hodaya Hammer   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy