Abstract Monitoring rice planting areas and their phenological phases is crucial for yield estimation informed decision-making. This study proposed a unified method mapping field phenology with dynamic time wrapping (DTW) distance-based classifier its variant sub-DTW algorithm using Sentinel-1’s synthetic aperture radar (SAR) VH band. Field samplings were conducted broad landcover types in one ...

Access to labeled time series data is often limited in the real world, which constrains performance of deep learning models field analysis. Data augmentation an effective way solve problem small sample size and imbalance datasets. The two key factors are distance metric choice interpolation method. SMOTE does not perform well on because it uses a Euclidean interpolates directly object. Therefor...

Multivariate time series naturally exist in many fields, like energy, bioinformatics, signal processing, and finance. Most of these applications need to be able to compare these structured data. In this context, dynamic time warping (DTW) is probably the most common comparison measure. However, not much research effort has been put into improving it by learning. In this paper, we propose a nove...

Vector quantization (VQ) is a widely used matching algorithm for text-independent speaker recognition. In this paper we study the use of text-dependent speaker recognition in practical access control application. We compared dynamic time warping (DTW) to VQ-based matching using textdependent pass phrases. Our goal was to find out, how fixed phrase affects speaker recognition performance. We col...

This paper describes the experiments and observations for Query-by-Example Search on Speech Task (QUESST) at MediaEval 2014. In this paper, we describe two different representations of speech that were explored for the task. We also show the capabilities and limitations of non-segmental dynamic time warping (NS-DTW) technique for searching various types of queries. This paper mainly focuses on ...

With the widespread use of time-lapse data to understand cellular function, there is a need for tools which facilitate high-throughput analysis of data. We present a system for automated segmentation and cell cycle phase labelling based on aligning temporal signals of simple features directly to a reference signal using Dynamic Time Warping (DTW). This is shown to result in a very accurate temp...

This paper proposed a pattern matching algorithm based on estimation of mutual information for speech recognition. The preliminary experiments on connected Chinese digits recognition show 97% of test digits were recognized correctly with 4 times much less time consume than DTW or HMM, and it was 6% higher than which gotten by conventional DTW with same experiments data and condition. According ...

Speaker verification is among the widely used biometrics which usually offer more secure authentication for user access than regular passwords. In this final project, we study the DTW-based and HMM-based speaker verification algorithms and a comparison between them is made based on their performances on our recorded dataset. The two feature sets commonly used in Speech Recognition Systems, LPC ...

The primary system we submitted was composed of 11 subsystems as the required run. 3 subsystems are based on Acoustic Keyword Spotting (AKWS) and 8 on Dynamic Time Warping (DTW). The AKWS systems were based only on phoneme posteriors while the DTW subsystems were based on both phoneme posteriors and Bottle-Neck features (BN) as input. The underlying phoneme posterior estimators / bottle-neck fe...

Introduction. When dealing with time series, the application of a smoothing filter (to get rid of random fluctuations and better recognise the relevant structure) is usually one of the first steps. In the literature on time series similarity measures, however, the impact of smoothing is not explicitly or systematically considered – despite extensive experiments in, e.g., [2]. Instead, complex s...