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This paper proposes an effective sequential initialization for multichannel nonnegative matrix factorization to address the difficulty of initial value dependency of the conventional method. The proposed method sets initial values of parameters from those obtained for the smaller number of channels. The experimental results of music separation show that the proposed method outperforms the conventional...
Direction of Arrival (DOA) estimation of signal deals in estimating the direction from where the signal is originating by joint processing the multi-channel signals captured by the array of sensors. This paper presents the comparison between various Direction of Arrival Estimation techniques for the speech signal. Short-Time Fourier Transform (STFT) is used as a tool to transform the time domain signal...
This paper investigates sound source localisation using an ad-hoc microphone array, where the microphones arbitrarily distributed in a room without knowledge of their locations. The proposed method is applicable to scenarios where microphones positions do not comply with conventional microphone arrays such as a Uniform Linear Array (ULA) and large aperture microphone panels. The proposed method utilizes...
Acoustic imaging is difficult to achieve in noisy and reverberant environments. Microphone arrays offer an effective approach to obtaining a clean recording of desired acoustic signals in these environments. In this paper, we have designed, implemented, and evaluated a 64-node microphone array system for acoustic imaging. We have applied a delay-and-sum beamforming algorithm for sound source amplification...
This paper covers the theory, measurement and analysis of a constructed reference system to capture and acoustically reconstruct a spatial soundfield for device testing. Using a rigid sphere microphone array, a framework is presented for numeric and visual representation of the multidimensional system performance. This is used to compare the measured acoustic spatial recreation of a practical 30 channel...
Detection of gunshots on a moving platform such as a vehicle is subjected to platform and flow-noise. Hence, detection of muzzle blast signal in the noise is extremely difficult. The received signal at a microphone consists of two parts: one due to direct path and other due to multipath. The signals due to multipath ride the noise and appear as fine fluctuations. In this paper we present a technique...
Rotor-type small size Unmanned Aerial Vehicles (UAVs) for recreational purposes have threatened people in public area by flying over them and crashing accidently without any safe mechanisms. In order to offset such threats, we investigated various types of sensors to detect airborne objects and propose a combination of radar and acoustic sensors. The proposed combination is able not only to detect...
This paper considers the problem of separation of acoustic sources from convolutive mixtures captured by a microphone array. The problem is approached through Plane Wave Decomposition (PWD) of the sound field measured at multiple points along the extension of the array. The directional components of the sound field are analyzed by means of the plenacoustic framework to accurately estimate the direction...
Knowledge of the Direct-to-Reverberant Ratio (DRR) and Reverberation Time (T60) can be used to better perform speech and audio processing such as dereverberation. Established methods compute these parameters from measured Acoustic Impulse Responses (AIRs). However, in many practical situations the AIR is not available and the parameters must be estimated non-intrusively directly from noisy speech...
In this work, we consider the multiple sound source location estimation and counting problem in a wireless acoustic sensor network, where each sensor consists of a microphone array. Our method is based on inferring a location estimate for each frequency of the captured signals. A clustering approach-where the number of clusters (i.e., sound sources) is also an unknown parameter-is then employed to...
We propose a Wiener filter design method for collecting target sources on a noisy sports field. Because the noise on a sports field, e.g., cheering from the audience, arrives from the same direction as that of the targeted source, it is difficult to accurately design a Wiener filter by simply using spatial cues. This study focused on a combination of spatial cues and acoustic feature modeling. The...
We propose an unsupervised method for simultaneously localizing and separating speech signals by factorizing a non-negative matrix of Steered Response Power (SRP) measurements. We use a probabilistic interpretation of the SRP function to compute a wideband SRP matrix. Non-negative Matrix Factorization (NMF) is used to decompose it into three terms that describe (1) the source distributions over spatial...
In this work, a Head-Related Transfer Function (HRTF)-based Robust Least-Squares Frequency-Invariant (RLSFI) beamformer design is proposed. The HRTF-based RLSFI beamformer accounts for the influence of a robot's head on the sound field. The performance of the new HRTF-based RLSFI beamformer is evaluated using signal-based measures and word error rates for an off-the-shelf speech recognizer, and is...
Soundfield imaging is a novel technique for efficiently encoding, representing and processing the wave field captured by a microphone array. Some of the possible applications include source and reflector localization. In this manuscript we discuss the resolution properties of the soundfield image and the trade-offs that need to be considered while designing the “soundfield camera”. Then we propose...
This paper proposes wave-domain adaptive processing for noise cancellation within a large spatial region. We use fundamental solutions of the Helmholtz wave-equation as basis functions to express the noise field over a spatial region and show the wave-domain processing directly on the decomposition coefficients to control the entire region. A feedback control system is implemented, where only a single...
A Wiener filter design method for distributed asynchronous microphones is proposed. The major approach to speech enhancement with a distributed microphone array has been to form directivity after adjusting the sampling rate between asynchronous microphones. However, since the synchronization accuracy varies with the source signal, noise reduction performance is often degraded. To achieve speech enhancement...
In this paper, the problem of estimating the directions of arrival (DOAs) for an unknown number of sound sources is addressed using a microphone array. In outdoor environments, the reverberation is not considered, so the pure delay mixture model is typically adopted here. Since the sound signal is usually wide-band and non-stationary, the Short Time Fourier Transform (STFT) is employed. However in...
In this paper, an approach for sound source localisation and calibration of an asynchronous microphone array is proposed to be solved simultaneously. A graph-based Simultaneous Localisation and Mapping (SLAM) method is used for this purpose. Traditional sound source localisation using a microphone array has two main requirements. Firstly, geometrical information of microphone array is needed. Secondly,...
In this paper, we present a solution to the Simultaneous Localization and Mapping problem by combining a novel 3D in-air sonar sensor with techniques for estimating the egomotion of a mobile platform (called acoustic flow odometry) and a bio-inspired mapping module (called BatSLAM). This combination eliminates the need for odometric information originating from the robot's motor controller, enabling...
This paper presents a novel active audition method that enables multiple mobile robots to move to optimal positions for improving the performance of sound source separation. A main advantage of our distributed system is that each robot has its own microphone array and all mobile robots can collaborate on source separation by regarding a set of movable microphone arrays as a big reconfigurable array...
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