AIMC Topic: Sound Localization

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Subject-independent auditory spatial attention detection based on brain topology modeling and feature distribution alignment.

Hearing research
Auditory spatial attention detection (ASAD) seeks to determine which speaker in a surround sound field a listener is focusing on based on the one's brain biosignals. Although existing studies have achieved ASAD from a single-trial electroencephalogra...

Estimating speaker direction on a humanoid robot with binaural acoustic signals.

PloS one
To achieve human-like behaviour during speech interactions, it is necessary for a humanoid robot to estimate the location of a human talker. Here, we present a method to optimize the parameters used for the direction of arrival (DOA) estimation, whil...

Memristor-based analogue computing for brain-inspired sound localization with in situ training.

Nature communications
The human nervous system senses the physical world in an analogue but efficient way. As a crucial ability of the human brain, sound localization is a representative analogue computing task and often employed in virtual auditory systems. Different fro...

Deep neural network models of sound localization reveal how perception is adapted to real-world environments.

Nature human behaviour
Mammals localize sounds using information from their two ears. Localization in real-world conditions is challenging, as echoes provide erroneous information and noises mask parts of target sounds. To better understand real-world localization, we equi...

Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization.

IEEE transactions on neural networks and learning systems
Inspired by the behavior of humans talking in noisy environments, we propose an embodied embedded cognition approach to improve automatic speech recognition (ASR) systems for robots in challenging environments, such as with ego noise, using binaural ...

From "ear" to there: a review of biorobotic models of auditory processing in lizards.

Biological cybernetics
The peripheral auditory system of lizards has been extensively studied, because of its remarkable directionality. In this paper, we review the research that has been performed on this system using a biorobotic approach. The various robotic implementa...

Cortical Transformation of Spatial Processing for Solving the Cocktail Party Problem: A Computational Model(1,2,3).

eNeuro
In multisource, "cocktail party" sound environments, human and animal auditory systems can use spatial cues to effectively separate and follow one source of sound over competing sources. While mechanisms to extract spatial cues such as interaural tim...

A robust method for online heart sound localization in respiratory sound based on temporal fuzzy c-means.

Medical & biological engineering & computing
This work presents a detailed framework to detect the location of heart sound within the respiratory sound based on temporal fuzzy c-means (TFCM) algorithm. In the proposed method, respiratory sound is first divided into frames and for each frame, th...

Spiking Neural Network Models of Interaural Time Difference Extraction via a Massively Collaborative Process.

eNeuro
Neuroscientists are increasingly initiating large-scale collaborations which bring together tens to hundreds of researchers. At this scale, such projects can tackle big challenges and engage diverse participants. Inspired by projects in mathematics, ...

Spatial grouping as a method to improve personalized head-related transfer function prediction.

JASA express letters
The head-related transfer function (HRTF) characterizes the frequency response of the sound traveling path between a specific location and the ear. When it comes to estimating HRTFs by neural network models, angle-specific models greatly outperform g...