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 21 for “"Noise-robustness"”.
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Noise-Robust Speech Recognition Using Deep Neural Network
This thesis addresses the noise robustness of the recently developed Deep Neural Networks (DNNs) based speech recognition systems. Five techniques have been proposed. Firstly, a Mean Variance Normalization technique was developed to integrate noise statistics using Vector Taylor Series. Secondly, a …
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Designing Adaptive Ansätze in Quantum Simulation and Geometric Entangling Gates
… researchers are striving for faster and more noise-robustness quantum operations to achieve higher quantum processing power. The dissertation presents two topics in the above-mentioned aspects. The first one is constructing adaptive ans"atze for variational quantum eigensolver, one of the most …
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Noise and error propagation in diffusion tensor imaging
… Diffusion weighted images are affected by noise from the human subject and the MRI scanner. This thesis studies the error propagation in the calculation of the DTI invariant anisotropy, mainly the Fractional Anisotropy (FA) using four methods and their comparison in terms of error, …
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Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data
… requirements from the domain of biology. Data noise and data high dimensionality are among the top challenges. In this dissertation, we propose a novel fuzzy cluster ensemble methodology which is effective and efficient in addressing the data noise and data high dimensionality challenges. It …
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Acoustic landmark detection and segmentation using the McAulay-Quatieri Sinusoidal Model
… algorithm has difficulty distinguishing between noise and speech components and often produces a poor alignment of sounds. Noise robustness in SUMMIT can be improved using a full segmentation method, which allows landmarks at regularly spaced intervals. While this approach is computationally more …
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The role of dynamic features in speaker verification
… system before RASTA is mainly due to the noise robustness of the delta parameters.
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Statistical models for noise-robust speech recognition
A standard way of improving the robustness of speech recognition systems to noise is model compensation. This replaces a speech recogniser's distributions over clean speech by ones over noise-corrupted speech. For each clean speech component, model compensation techniques usually approximate the …
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Beyond qubits: Quantum optimization and lattice gauge theories in a qudit framework
… algorithms. We additionally study the noise robustness of variational algorithms on real hardware, and investigate how nonstabilizerness builds up and relates to optimization performance across both qubit and qutrit protocols. On the simulation side, we analyze the ground-state …
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Speaker Identification and Verification Using Line Spectral Frequencies
… deteriorates in the presence of background noise. Many feature compensation, model compensation and signal enhancement techniques have been proposed to improve the noise-robustness of SIV systems. Most of these techniques require extensive training, are computationally expensive or make …
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The investigation of correlator systems utilizing object and frequency space filters
… in the Fourier domain to achieve a high signalto-noise ratio, noise robustness as well as discrimination. Several wavelet functions are also used, after processing, in the conventional JTC for high-speed image feature extraction. The wavelet transform functions can also be used in the JTC with …
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An architecture for low-power voice-command recognition systems
… frequency and are adapted based on the noise spectrum. The back-end algorithm, supporting adaptive feature selection, is a weighted dynamic time warping algorithm that removes signal misalignments and mitigates speech rate variations while preserving the signal envelope. In the case of …
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Techniques for understanding hearing-impaired perception of consonant cues
… /Sa, Za, sa, za/ as a sustained frication noise preceding the vowel onset, with the acoustic cue for both /sa, za/ located between 3.8–7 kHz, and the acoustic cue for both /Sa, Za/ located between 2–4 kHz. The /Sa, Za/ utterances were also found to contain frication components above 4 kHz …
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Learning to classify images without explicit human annotations
… datasets. In addition, our results show that the noise generated through the label collection process is not nearly as adversarial for learning as the noise generated by randomly flipping labels, which is the noise most prevalent in works demonstrating noise robustness of neural networks. We also …
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Clinical Question-Answering over Distributed EHR Data
… in achieving high retrieval quality and noise robustness, FedRAG is effective at synthesizing clinical trends through information integration across EHR documents.
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Noise resilience of proofs of quantumness
… previous protocols, and has by construction some robustness against noise. However, the precise nature of the noise robustness is unknown. This thesis analyses and quantifies the robustness of the quantum prover’s algorithm to noise. Simulating the protocols under different noise models shows that …
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Design and FPGA Implementation of Optimized and Digital Multiplexing Spiking Encoders for Neuromorphic Computing
… encoding al gorithms in both performance and noise robustness across most test cases. It achieves up to a 9.95× improvement in signal reconstruction accuracy compared to other encoding tech niques. In addition, the optimized rate encoding architectures outperform current models, providing up …
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Diseño de circuitos analógicos y de señal mixta con consideraciones de diseño físico y variabilidad
… stable operation states (which brings inherent robustness against numerous imperfections and interferences, leading to few design constraints like area, speed or power consumption), analog signal processing, on the other hand, demands compliance with lots of constraints (e.g., matching, noise, …
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Application of generative models in speech processing tasks
… BaWN and GRAB aim to improve the naturalness and noise robustness of speech enhancement algorithms. Probabilistic Acoustic Tube (PAT) is a probabilistic generative model for speech, whose basis is the source-filter model. The highlights of the model are threefold. First, it is among the very first …
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Progetto di reti Sensori Wireless e tecniche di Fusione Sensoriale
… increased recognition performance, and fault and noise robustness. Furthermore we show how we can extend network lifetime by performing a performance-power trade-off. Smart objects can enhance user experience within smart environments. We present our work in extending the capabilities of the Smart …
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Auditory-based processing of communication sounds
… from the filterbank output. However when pink noise was added to the stimuli, performance dropped more slowly as a function of signal-to-noise ratio when using the SAI-based AIM features, than when using either the filterbank-based features or the MFCCs, demonstrating the noise-robustness …
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