Voice assistants such as Amazon Echo (Alexa) and Google Home use microphone arrays to
estimate the angle of arrival (AoA) of the human voice. This paper focuses on adding user …

Distance estimation from audio plays a crucial role in various applications, such as acoustic
scene analysis, sound source localization, and room modeling. Most studies predominantly …

This paper presents a low-power and miniaturized design for acoustic direction-of-arrival
(DoA) estimation and source localization, called Owlet. The required aperture, power …

This paper presents a sound source distance estimation (SSDE) method using a
convolutional recurrent neural network (CRNN). We approach the sound source distance …

Voice interaction is friendly and convenient for users. Smart devices such as Amazon Echo
allow users to interact with them by voice commands and become increasingly popular in …

Wake-up-free techniques (eg, Raise-to-Speak) are important for improving the voice input
experience. We present ProxiMic, a close-to-mic (within 5 cm) speech sensing technique …

To identify the localization of indoor sound source, especially when attempted using only a
single microphone, it is a challenging problem to machine learning. To address these …

In this paper, acoustic source localization in an acoustic sensor network (ASN) based on
estimates of the coherent-to-diffuse power ratio (CDR) is investigated. It is shown that the …

A novel method for the estimation of the distance of a sound source from binaural speech
signals is proposed. The method relies on several statistical features extracted from such …

We propose a method for estimating the distance between a sound source and a pair of
recording microphones. The developed algorithm operates in the short-time Fourier …