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In this paper, a nonlinear estimator is developed to estimate the effect of friction on the performance of an ultrasonic motor (USM). Based on the friction model of USM, a friction estimator based compensator is developed for eliminating the effect of friction existing in between the surfaces of stator and rotor of the USM. Then, a proportional plus integral (PI) control strategy with friction estimator...
Animation and game are very popular in Japan. Many works in animation and game have been released, and many characters have been produced. It is an important factor to select appropriate voice actors so that we can appropriately impress the characters. Based on this idea, we are developing a prototype of voice actor recommendation tool. We recorded voice performance from portable games and calculated...
This paper proposes a diffusion proportionate affine projection sign algorithm for distributed estimation of sparse vector over network. The algorithm is derived by minimizing l1-norm intermediate error vector subject to a weighted constraint on the filter coefficients, where the positive definite weighting matrix is designed to accelerate the convergence of the nonzero coefficients for sparse vector...
Voice is envisioned to be a popular way for humans to interact with Internet-of-Things (IoT) devices. We propose a proximity-based user authentication method (called PIANO) for access control on such voice-powered IoT devices. PIANO leverages the built-in speaker, microphone, and Bluetooth that voice-powered IoT devices often already have. Specifically, we assume that a user carries a personal voice-powered...
Ground Penetrating Radar and Ultrasonic Tomography are two nondestructive techniques that are particularly well suited for the inspection of concrete pavements using electromagnetic and ultrasonic sound waves, respectively. In this study, both methods were used for the evaluation of a newly laid concrete pavement. The positions of the dowels in the transverse joints and the thickness of the pavement...
Accurate and stable estimation of common acoustical poles is required in many applications such as speech dereverberation, acoustic feedback cancellation, sound field equalization, and virtual auditory display. In this paper, an algorithm for the least-squares estimation of the acoustical poles is presented. In contrast to previous methods, which may have limited accuracy and/or limitations imposed...
Estimation of models for the distribution probability density of acoustic signals in audio exchange telecommunication systems is carried out because of the need to improve the data transmission efficiency and the efficiency of information exchange in command and control systems. The object of the research are the distribution function models of the acoustic signals and interference probability density...
The histogram algorithm based on sound intensity having been widely used to estimate the azimuths of underwater acoustic targets. The advantage of this algorithm is that all we need is a single vector hydrophone to distinguish multiple targets' azimuths. The histogram approach acquiesces in that the acoustic pressure is perfectly correlated with the particle velocity. However, the sound field excited...
Underwater environments are categorized as inhomogeneous habitats which complicates determining long range propagation losses. Basically, transmitted signals tend to refract and change direction in accordance to the encountered sound speed profile (SSP). Therefore, a uniform spreading beam quickly loses its uniformity and complicating the estimation of the signal strength at a beam's wave front. Such...
This work presents an algorithm to improve the estimation of the position in indoor environments when using an Ultrasonic Local Positioning System (ULPS). This system is composed of several beacons, with an encoded transmission based on 255-bits Kasami sequences and a BPSK modulation. The received ultrasonic signals are processed to determine the time of arrival (ToA) for every beacon. The differences...
We propose a methodology of optimal path design for sensors through a distributed environment represented by a two or three-dimensional field quantity. We consider time-limited scenarios where the sensors can only make a small number of measurements, but where some portion of a physics-based model is available for the field of interest such as fluid flows, temperatures or concentrations. Thus the...
Reverberation and multipath propagation afîect the accuracy of time of flight (TOF) estimation in confined underwater medium. In this paper, time delay has been estimated by obtaining the transmitted signal and first echo signal from measured signal acquised by using a wideband transducer with 5 MHz central frequency. Cross-correlation (CC) and generalized cross-correlation (GCC) methods have been...
This paper proposes a novel non-intrusive auditory perception-based approach for disordered speech quality estimation. An adaptive time-frequency algorithm, viz. the Matching Pursuit (MP) algorithm, is used to generate a reference signal from the disordered speech signal. Both the generated reference signal and the original degraded signal are given to the International Telecommunication Union (ITU)-standardized...
In this paper, an improved joint processing algorithm based on Estimation of Signal Parameters via Rotational Invariance Technique(ESPRIT), which can efficiently combine acoustic pressure and analytic velocity, is proposed to estimate azimuth angle. This method can be applied in acoustic vector sensor array (AVSA) of any formation. A novel cross-covariance matrix of acoustic pressure and analytic...
The demonstration presents a real-time mockup of smartphone- based hearing aid with combined noise and acoustic feedback reduction. The designed reduction algorithm is based on spectral weighting approach which makes it very robust to rapid changes in feedback path either caused by displacement of the speaker/microphone or room acoustics. The aim of the demonstration is to show potential of the implemented...
For getting reliable measurements of the arteries state, by a non-invasive via, to prevent dangerous vascular events (heart attacks, atheromas, cerebral strokes, etc.), ultrasonic tools must be used. Nevertheless, the conventional echographic equipment gives a poor spatial resolution (several hundreds of micron), clearly insufficient to study the arterial elastic properties. In this paper, the possibility...
In this paper, we perform beamforming with a speech recognition-level criterion. A beamformer is usually designed by optimizing signal-level criteria, e.g., by minimizing the beamformer output covariance or by maximizing the signal-to-noise ratio (SNR). Such signal-level criteria do not always guarantee that the optimized beamformer is the best for noise robust automatic speech recognition. Recently,...
Pitch is an important characteristic of speech and is useful for many applications. However, it is still challenging to estimate pitch in strong noise. In this paper, we propose a joint training approach to determinate pitch. First, a Bidirectional Long Short-Term Memory Recurrent Neural Networks (BLSTMRNN) is trained to map the noisy to clean speech features. Second, the pitch estimation is also...
Classic approaches to multi-channel signal enhancement rely on model assumptions regarding speech source relative transfer functions and noise covariance matrix, or on estimates thereof obtained in, e.g., speech pauses. To alleviate these constraints, we here investigate an approach to adaptive estimation of the speech (target) source and noise related acoustic parameters based on localized speech...
The aim of this work is the estimation of respiratory flow from lung sound recordings, i.e. acoustic airflow estimation. With a 16-channel lung sound recording device, we simultaneously record the respiratory flow and the lung sounds on the posterior chest from six lung-healthy subjects in supine position. For the recordings of four selected sensor positions, we extract linear frequency cepstral coefficient...
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