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How to (Virtually) Train Your Speaker Localizer
INTERSPEECH 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 +4 more sources
Microphone Array for Speaker Localization and Identification in Shared Autonomous Vehicles
Electronics, 2022 With the current technological transformation in the automotive industry, autonomous vehicles are getting closer to the Society of Automative Engineers (SAE) automation level 5.
Ivo Marques +10 more
semanticscholar +1 more source
M2ER: Multimodal Emotion Recognition Based on Multi-Party Dialogue Scenarios
Applied Sciences, 2023 Researchers have recently focused on multimodal emotion recognition, but issues persist in recognizing emotions in multi-party dialogue scenarios. Most studies have only used text and audio modality, ignoring the video modality.
Bo Zhang +4 more
doaj +1 more source
Indoor Multi-Speaker Localization Based on Bayesian Nonparametrics in the Circular Harmonic Domain
IEEE/ACM Transactions on Audio Speech and Language Processing, 2021 Circular microphone arrays have been used for multi-speaker localization in computational auditory scene analysis, for their high flexibility in sound field analysis, including the generation of frequency-invariant eigenbeams for wideband acoustic ...
Kunkun SongGong, Huawei Chen, Wenwu Wang
semanticscholar +1 more source
Measuring “Where”: A Comparative Analysis of Methods Measuring Spatial Perception
Sensors, 2023 The literature offers various methods for measuring sound localization. In this study, we aimed to compare these methods to determine their effectiveness in addressing different research questions by examining the effect sizes obtained from each measure.
Leah Fostick, Nir Fink
doaj +1 more source
Speaker Localization Based on Audio-Visual Bimodal Fusion
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2021 The demand for fluency in human–computer interaction is on an increase globally; thus, the active localization of the speaker by the machine has become a problem worth exploring. Considering that the stability and accuracy of the single-mode localization
Yingxin Zhu, Hao-Ran Jin
semanticscholar +1 more source
Local Features for Speaker Recognition [PDF]
, 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 +1 more source
3D Joint Speaker Position and Orientation Tracking with Particle Filters
Sensors, 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
EURASIP 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
Frontiers 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