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.
Results
Showing 1 to 20 of 33 for “"acoustic modeling"”.
-
Exploring neural network architectures for acoustic modeling
Deep neural network (DNN)-based acoustic models (AMs) have significantly improved automatic speech recognition (ASR) on many tasks. However, ASR performance still suffers from speaker and environment variability, especially under low-resource, distant microphone, noisy, and reverberant conditions. …
-
Geometric Acoustic Modeling of the LDS Conference Center
<p>This thesis discusses the process of modeling a 21,000 seat fan-shaped auditorium using methods of geometric acoustics. Two commercial geometric acoustics software packages were used in the research: CATT-Acoustic™ 8.0 and EASE™ 4.1. The process first included creating preliminary models of the …
-
Acoustic Modeling and Feature Selection for Speech Recognition
… of discriminant transformation of the original acoustic space and might be useful for speech recognition.
-
Multi-level acoustic modeling for automatic speech recognition
Context-dependent acoustic modeling is commonly used in large-vocabulary Automatic Speech Recognition (ASR) systems as a way to model coarticulatory variations that occur during speech production. Typically, the local phoneme context is used as a means to define context-dependent units. Because the …
-
Aerodynamic and Acoustic Modeling for eVTOL Rotor Noise Prediction
… validation of a methodology for predicting total acoustic emissions from a one-fifth scale electric vertical takeoff and landing (eVTOL) rotor in both hover and edgewise flight conditions. The approach couples sectional two-dimensional Reynolds-Averaged Navier-Stokes (2D-RANS) airfoil simulations …
-
Neighborhood analysis methods in acoustic modeling for automatic speech recognition
… methods developed are applied to the problem of acoustic modeling for speech recognition. Neighborhood components analysis (NCA) (Goldberger et al. [2005]) serves as the departure point for this study. NCA is a non-parametric method that can be seen as providing two things: (1) low-dimensional …
-
A Comparative Analysis of Bayesian Nonparametric Variational Inference Algorithms for Speech Recognition
… in speech recognition tasks such as language and acoustic modeling due to their ability to discover underlying structure in an iterative manner. These methods do not require a priori assumptions about the structure of the data, such as the number of mixture components, and can learn this structure …
-
Music signal processing for automatic extraction of harmonic and rhythmic information
… novel probabilistic approaches that include acoustic modeling layer and language modeling layer. We investigate the usage of standard N-grams and Factored Language Models (FLM) for automatic chord recognition. Another central topic of this work is the feature extraction techniques. We develop …
-
Sound propagation around underwater seamounts
In the ocean, low frequency acoustic waves propagate with low attenuation and cylindrical spreading loss over long-ranges, making them an effective tool for underwater source localization, tomography, and communications. Underwater mountains, or seamounts, are ubiquitous throughout the world's …
-
Multi-tape finite-state transducer for asynchronous multi-stream pattern recognition with application to speech
In this thesis, we have focused on improving the acoustic modeling of speech recognition systems to increase the overall recognition performance. We formulate a novel multi-stream speech recognition framework using multi-tape finite-state transducers (FSTs). The multi-dimensional input labels of …
-
Acoustic Transfer Functions Derived from Finite Element Modeling for Thermoacoustic Stability Predictions of Gas Turbine Engines
Acoustic Transfer Functions Derived from Finite Element Modeling for Thermoacoustic Stability Predictions of Gas Turbine Engines Design and prediction of thermoacoustic instabilities is a major challenge in aerospace propulsion and the operation of power generating gas turbine engines. This is a …
-
A theory of (almost) zero resource speech recognition
… the speech data required to learn good acoustic models; and 2) acquire adequate text to estimate meaningful language models. A theory of unsupervised and semi-supervised techniques for speech recognition is therefore essential. This thesis focuses on HMM-based sequence clustering and …
-
Acoustic Analysis of Spacecraft Cavities using the Boundary Element Method
… ascension through the atmosphere. In particular, acoustic loads imposed on stowed satellites within the launch vehicle fairing can result in high mechanical loads on sensitive spacecraft hardware. These acoustic loads have the potential to damage important components and as such it is necessary to …
-
Parts-based models and local features for automatic speech recognition
… conditions. This thesis revisits the basic acoustic modeling assumptions common to most ASR systems and argues that improvements to the underlying model of speech are required to address these shortcomings. A number of problems with the standard method of hidden Markov models (HMMs) and …
-
Perceptual and acoustic impacts of aberrant properties of electrolaryngeal speech
… small, hand-held, electromechanical device that acoustically excites the vocal tract when held against the neck or at the lips. While the EL provides a serviceable means of communication, the resulting speech has several shortcomings in terms of both intelligibility and speech quality. Previous …
-
Locating and extracting acoustic and neural signals
… to the tinnitus pathology. Specifically, an acoustic modeling based method is developed for locating arbitrary and incoherent sound sources in 3D space in real time by using a minimal number of microphones, and the Point Source Separation (PSS) method is developed for extracting target …
-
Modeling wireless acoustic power transmission systems
… prevents penetration of electromagnetic energy, acoustic wave transmission is often used for data communications and could be a viable option for wireless power transfer. Such a power transfer system design would need to incorporate the behavior of the entire acoustic channel, taking into account …
-
Defining and modeling the limits of high-resolution underwater acoustic imaging
… located under water near to interfaces with high acoustic and or magnetic impedance differences and roughness are hard to detect. Today most up to date modern sea mines have a non magnetic hull and a minimum of magnetic materials on board. They preferably hide near interfaces that hinder …
-
Dealing with linguistic mismatches for automatic speech recognition
… In the first part, classic theories relevant to acoustics and articulatory phonetics that present capability of being transferred across a dialect continuum from local dialects to another standardized language are re-visited. Experiments demonstrate the potentials that acoustic correlates in the …
-
Automatic Speech Recognition Using Deep Neural Networks: New Possibilities
… systems that use deep neural networks (DNNs) for acoustic modeling have attracted huge research interest. This is due to the recent results that have significantly raised the state of the art performance of ASR systems. This dissertation proposes a number of new methods to improve the state of the …
Page 1 of 2