Searched for: subject%3A%22Acoustic%255C+Modeling%22
(1 - 8 of 8)
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Yue, Z. (author), Loweimi, Erfan (author), Cvetkovic, Zoran (author)
In this paper, we explore the effectiveness of deploying the raw phase and magnitude spectra for dysarthric speech recognition, detection and classification. In particular, we scrutinise the usefulness of various raw phase-based representations along with their combinations with the raw magnitude spectrum and filterbank features. We employed...
journal article 2023
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Bouman, Gijs (author)
In this thesis, the resistance of a single degree of freedom liner is investigated experimentally. Semi-empirical resistance modelling fails at higher Mach numbers (M<sub>0</sub>&gt;0.3) and sound pressure levels (SPL&gt;130dB), and experimental work is missing in these conditions. An experiment combining in-situ impedance measurements and phase...
master thesis 2021
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Klom, Irene (author)
This research studies the Projected Bidirectional Long Short-Term Memory Time Delayed Neural Network (TDNN-BLSTM) model for English phoneme recognition. It contributes to the field of phoneme recognition by analyzing the performance of the TDNN-BLSTM model based on the TIMIT corpus and the Buckeye corpus, respectively containing read speech and...
bachelor thesis 2021
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Genkov, Georgi (author)
Automatic phoneme recognition (APR) is the process of recognizing phonemes (spoken sounds) in a recording of speech. It can be used for any application requiring fast and accurate transcription, i.e. a courthouse. This research creates such a model using the TDNN-OPGRU architecture and trains it on two datasets of recorded English speech - ...
bachelor thesis 2021
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Pietrak, Jakub (author)
Graph Neural Networks are a unique type of Deep Learning models that have a capability to exploit an explicitly stated structure of data representation. By design they carry a strong relational inductive bias, which is a set of assumptions that makes the algorithm prioritize some solutions over another, independent of observed data. This makes...
master thesis 2020
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Shamasundar, R. (author)
Demand for hydrocarbon fuel is predicted to keep increasing in the coming decades in spite of easily accessible alternative fuels due to shifting geopolitical and economic situations. In order to find new hydrocarbon pockets, we need sharper images of earth’s subsurface. Also, the exploration of other sources of energy like geothermal will...
doctoral thesis 2019
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Baksteen, Rick (author)
The acoustics of a space contribute much to the perceived size and atmosphere of the environment. Modeling these acoustics in virtual environments can make a big improvement to the immersion of the player. There are very accurate models that can reproduce realistic acoustics in virtual spaces, but these are computationally very expensive....
master thesis 2017
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Peng, Yaxi (author)
Anthropogenic underwater noise generated by pile driving has been an issue of serious concern<br/>for a long period of time. The underwater noise pollution from pile driving could pose a threat<br/>to marine mammals. To reduce the low-frequency noise, many offshore companies develop<br/>various treatments and alternatives for pile driving. In...
master thesis 2017
Searched for: subject%3A%22Acoustic%255C+Modeling%22
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