Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 66 for “"Dynamic Time Warping"”.
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Dynamic Time Warping Constraints for Semiconductor Processing
… However, a notable challenge for monitoring time series signals are the nonlinear variations in signal timing. These small, but acceptable, temporal variations are typically caused by small run-to-run differences that are inherent to the process. Dynamic time warping (DTW) can be used for …
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Auditory model comparison and optimization using dynamic time warping
… metrics such as phase-locking, adaptation time, and spike timings. A technique allowing summary comparison of auditory models is missing from the current body of research. We introduce a new technique based on the dynamic time warping algorithm as a distance metric. This technique is also …
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Using dynamic time warping to improve the classical music production workflow
The current music production workflow, comprising recording, editing, mixing, and mastering music, requires a great deal of manual work for the sound engineer. This thesis aims to bring some recent advances in Music Information Retrieval (MIR) techniques to music production tools, with the goal of …
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Seismic Data Conditioning and Inversion with Bayesian Methods and Dynamic Time-Warping
… is unstable at greater depths (or traveltime) due to the exponential function of time and frequency that boost ambient noise masking lower frequency signals. Absorption compensation is posed as an inverse problem and stabilized with the L1-norm deterministically and stochastically with …
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A comparative study of several dynamic time warping algorithms for speech recognition
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1980.
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A Novel Approach for Continuous Speech Tracking and Dynamic Time Warping. Adaptive Framing Based Continuous Speech Similarity Measure and Dynamic Time Warping using Kalman Filter and Dynamic State Model
Dynamic speech properties such as time warping, silence removal and background noise interference are the most challenging issues in continuous speech signal matching. Among all of them, the time warped speech signal matching is of great interest and has been a tough challenge for the researchers. …
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Three Essays Applying Dynamic Models in Economics, Finance, and Machine Learning
… parts. Collectively, these essays investigate dynamic methods and their application in the fields of Economics, Finance, and Machine Learning. It pulls liberally from all three. In particular, this dissertation makes repeated use of multi-state modeling frameworks popular in Economics to bring …
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Unsupervised machine learning and k-Means clustering as a way of discovering anomalous events In continuous seismic time series
… as a method for identifying anomalies in seismic time series. Sliding window approach was used for generating specific subsequences from the overall waveform. Dynamic Time Warping (DTW) was used as the method for comparing seismic subsequences. DTW barycenter averaging (DBA) was used as the method …
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Probabilistic Correspondence Mapping for Audiovisual Speaker Modeling
… between speakers is established via dynamic programming for speaker normalization in speech recognition tasks. The adjacent constraints in frequency domain actually help to stabilize the algorithm, similar to the dynamic time warping techniques. We also explore the correspondence …
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Unsupervised modeling of latent topics and lexical units in speech audio
… an audio corpus. This system employs a segmental dynamic time warping (S-DTW) algorithm for acoustic pattern discovery in conjunction with a probabilistic model which treats the topic and pseudo-word identity of each discovered pattern as hidden variables. By applying an Expectation-Maximization …
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Deciphering Emotional Responses to Music: A Fusion of Psychophysiological Data Analysis and Bi-LSTM Predictive Modeling
… most comprehensive of its kind. Utilizing the Dynamic Time Warping and T-test analysis techniques, we examined data from participants across seven countries who listened to three distinct musical pieces. During these listening sessions, Electrodermal Activity (EDA) and Pulse Oximetry (POX) …
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Automatic Page-Turner for Pianists With Wearable Motion Detector
… them to digital music notes. This system uses dynamic time warping and cross-correlation methods to find the optimum alignment between actual and captured data and reducing time latency. Eventually, a heuristic decision model assesses the pianist's performance and decides to turn the digital …
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Improving Seismic-to-well Ties
… ties can be improved by correcting their time shifts via smooth dynamic time warping and addressing slowly time-variant nonstationarity in a sliding Gaussian window.
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Automatische Detektion menschlichen Kopfnickens und Wege zur Interpretation
… ein Detektionssystem sowohl auf Basis von Dynamic Time Warping (DTW) als auch einer Support Vektor Maschine (SVM) realisiert. Dieses wird mit Hilfe von realitätsnahen Anwendungsszenarien und einer erweiterten Kreuzvalidierung getestet; In den umgesetzten Varianten zeigt SVM eine geringfügig …
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Classification and repeatability studies of transient electromagnetic measurements with respect to the development of CO2-monitoring techniques
… electromagnetic signals. The similarity criteria dynamic time warping, the autoregressive distance, and the normalized root-mean-square distance are investigated and evaluated with respect to the classic Euclidean norm. The optimal number of clusters is determined using the gap statistic and …
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Investigating EEG burst suppression for coma outcome prediction
… 80% remain unconscious for some amount of time Marion [2009]. Predicting whether or not a patient will wake up from coma, as well as the patient's neurological function after waking up, is an important task in guiding treatment decisions for physicians and family of the patient. This …
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Applications of reference cycle building and K-shape clustering for anomaly detection in the semiconductor manufacturing process
… benefits, especially for complicated and time-consuming manufacturing such as semiconductor production. A case study of detecting anomalies from several monitored parameters during one plasma etching process is presented in this thesis. The thesis focuses on optimized ways to build …
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Road vehicle recognition and classification using magnetic field measurement
… of vehicle types. We compare each vehicle using dynamic time warping (DTW), then extend Mel-Frequency Cepstral Coefficients to analyse the vehicles’ magnetic signals and extract them as vehicle features using the representations of cepstrum, frame energy, and gap cepstrum of magnetic signals. …
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User profiling in the intelligent office
… measures, linear similarity measures and Dynamic Time Warping (DTW) are employed to quantify a user's behaviour and extract a user profile. The individual user profile is representative of a user's preferences, consisting of user routine activities, consistency of office usage and their …
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Leveraging smartphones to incentivize city-wide, energy ecient transportation
… transportation decisions decided in real-time. As part of this initiative, I have developed an initial prototype Android application named FMS Advisor that allows users to interact with the larger Tripod system before, during, and after their journey. Working off an initial design, I …
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