Dynamic time warping: Itakura vs sakoe-chiba

Z Geler, V Kurbalija, M Ivanović… - … on INnovations in …, 2019 - ieeexplore.ieee.org
In the domain of time-series classification, one simple but persistently successful method is
the 1-nearest neighbour (1NN) classifier coupled with an elastic distance measure such as …

A new time series representation model and corresponding similarity measure for fast and accurate similarity detection

M Zhang, D Pi - IEEE Access, 2017 - ieeexplore.ieee.org
Data representation and similarity measurement are two basic aspects of similarity detection
in time series data mining. In this paper, we present two novel approaches to perform …

Unsupervised spoken term discovery using pseudo lexical induction

P Sudhakar, K Sreenivasa Rao, P Mitra - International Journal of Speech …, 2023 - Springer
An unsupervised spoken term discovery task aims to capture the pattern similarities among
spoken terms in the absence of annotation. Such an approach is useful for the untranscribed …

Matching method based on similarity of working trajectories

Y Du, Y Zhong, F Chen, Q Huang… - International Journal of …, 2022 - Wiley Online Library
To identify whether the actual work trajectory of workers in the factory meets the
predetermined work trajectory requirements, we proposed an efficient and accurate work …

Statistical language models for query-by-example spoken document retrieval

P Lopez-Otero, J Parapar, A Barreiro - Multimedia Tools and Applications, 2020 - Springer
Query-by-example spoken document retrieval (QbESDR) consists in, given a collection of
documents, computing how likely a spoken query is present in each document. This is …

A stage match for query-by-example spoken term detection based on structure information of query

J Zhan, Q He, J Su, Y Li - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
The state-of-the-art of query-by-example spoken term detection (QbE-STD) strategies are
usually based on segmental dynamic time warping (S-DTW). However, the sliding window in …

[HTML][HTML] Multilingual broad phoneme recognition and language-independent spoken term detection for low-resourced languages

G Deekshitha, L Mary - Journal of King Saud University-Computer and …, 2022 - Elsevier
Abstract Language-independent spoken term detection (LI-STD) refers to the process of
locating the occurrences of spoken queries from speech databases of any language. This …

Prompt Anomaly Detection for Small Satellites in Low-Earth Orbit Constellations: A Machine Learning Approach

W Qian, J DeJong, B Cooke - 2024 - digitalcommons.usu.edu
Abstract Small satellites in Low Earth Orbit (LEO) constellations are shaping the future of
communications and Earth observation. Despite having inherent advantages such as lower …

[PDF][PDF] Modified Multivariate Euclidean Dynamic Time Warping Based Spoken Keyword Detection.

JSR Alex, N Venkatesan - International Journal of Intelligent …, 2017 - researchgate.net
Traditional Dynamic Time Warping (DTW) technique find similarities between two one-
dimensional time series sequence. Initially, in earlier decades, DTW was not preferred …

Two-stage spoken term detection system for under-resourced languages

G Deekshitha, L Mary - IET Signal Processing, 2020 - IET
Spoken Term Detection (STD) is the process of locating the occurrences of spoken queries
in a given speech database. Generally, two methods are adopted for STD: an ASR based …