This paper describes the preliminary results of a keyword spotting system using a fusion of spectral and cepstral features. Spectral energy in 16 bands of frequencies on Bark scale and 16 mel-scale warped cepstral coefficients are used independently and in combination with appropriate weights for recognizing word utterances. Results of matching features using Euclidean and cosine distances in a...

In this paper, we present an audio to score alignment framework based on spectral factorization and online Dynamic Time Warping (DTW). The proposed framework has two separated stages: preprocessing and alignment. In the first stage, we use Non-negative Matrix Factorization (NMF) to learn spectral patterns (i.e. basis functions) associated to each combination of concurrent notes in the score. In...

Dynamic time warping (DTW) plays an important role in analytics on series. Despite the large body of research speeding up univariate DTW, method for multivariate DTW has not been improved much last two decades. The most popular algorithm used today is still one developed nineteen years ago. This paper presents a solution that, as far we know, first consistently outperforms classic across datase...

In this paper we propose a new method for symmetry calculation in wearable devices. The problem domain is that only discrete features such as stride length, duration, or duration of gait phases are used the calculation. However, can lead to failures, since use result partial loss information from time series. From present possibility calculate by using Dynamic Time Warping (DTW). DTW uses compl...

0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.05.012 ⇑ Corresponding author. Tel.: +36 88 624209. E-mail address: [email protected] (J. Ab In recent years, dynamic time warping (DTW) has begun to become the most widely used technique for comparison of time series data where extensive a priori knowledge is not available. However, it is often expe...

This paper focuses on a real-time Max/MSP implementation of a gesture recognition tool based on Dynamic Time Warping (DTW). We present an original ”multi-grid” DTW algorithm, that does not require prior segmentation. The num.dtw object will be downloadable on the numediart website both for Max/MSP and for Pure Data. Though this research was conducted in the framework described below, with weara...

With Microsoft’s launch of Kinect in 2010, and release of Kinect SDK in 2011, numerous applications and research projects exploring new ways in human-computer interaction have been enabled. Gesture recognition is a technology often used in human-computer interaction applications. Dynamic time warping (DTW) is a template matching algorithm and is one of the techniques used in gesture recognition...

We present a clustering algorithm based on Dynamic Time Warping (DTW) to automatically classify intracranial pressure (ICP) beats based on their morphology. The algorithm detects, classifies and labels each beat as a low–pressure or high–pressure beat based on morphology. The trend is removed during prepocessing to ensure the classifications are independent of the mean ICP. An ICP beat detectio...

Detection of faces and facial patterns in static or video images is an important but challenging problem in computer vision, as faces may present in different scales, orientations, positions and poses in an uncontrolled background. To date, numerous approaches have been implemented for face and facial pattern detection [1-4]. These approaches have been grouped into four broad categories [2]. Th...

Continuously monitoring through time the correlation/distance of multiple data streams is of interest in a variety of applications, including financial analysis, video surveillance, and mining of biological data. However, distance measures commonly adopted for comparing time series, such as Euclidean and Dynamic Time Warping (DTW ), either are known to be inaccurate or are too time-consuming to...