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 44 for “"Acoustic models"”.
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Acoustic models of consonant recognition in cochlear implant users
… made by normal-hearing subjects listening to acoustic models of implant processing, in various conditions. Two initial experiments were undertaken to develop and refine an acoustic model of the Nucleus 24 cochlear implant. Findings from these two experiments informed the design of the main …
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Deep neural network acoustic models for multi-dialect Arabic speech recognition
… model for these features. Hidden Markov Models (HMMs) have been demonstrated to be powerful models for representing time varying signals. Artificial Neural Networks (ANNs) have also been widely used for representing time varying quasi-stationary signals. Arabic is one of the oldest living …
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Discriminative training of acoustic models in a segment-based speech recognizer
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Acoustic models for speech recognition using Deep Neural Networks based on approximate math
Deep Neural Networks (DNNs) are eective models for machine learning. Unfortunately, training a DNN is extremely time-consuming, even with the aid of a graphics processing unit (GPU). DNN training is especially slow for tasks with large datasets. Existing approaches for speeding up the process …
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Forward sound propagation around seamounts : application of acoustic models to the Kermit-Roosevelt and Elvis seamounts
The Basin Acoustic Seamount Scattering Experiment (BASSEX) of 2004 was conducted to measure forward-scattering around the Kermit-Roosevelt Seamount Complex in the Northeast Pacific. The BASSEX experiment was focused on the bathymetric effects on acoustic propagation, in particular, on direct …
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Forward sound propagation around seamounts : application of acoustic models to the Kermit-Roosevelt and Elivs seamounts
The Basin Acoustic Seamount Scattering Experiment (BASSEX) of 2004 was conducted to measure forward-scattering around the Kermit-Roosevelt Seamount Complex in the Northeast Pacific. The BASSEX experiment was focused on the bathymetric effects on acoustic propagation, in particular, on direct …
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Spontaneous speech recognition using HMMs
… The system is composed of (1) a front end acoustic analyzer which computes Mel-frequency cepstral coefficients, (2) acoustic models of context-dependent phonemes (triphones), (3) a back-off bigram statistical language model, and (4) a beam search decoder based on the Viterbi algorithm. The …
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Speech-Based Artificial Intelligence Emotion Biomarkers in Frontotemporal Dementia
Acoustic speech markers are well-characterized in Frontotemporal Dementia (FTD), a heterogeneous spectrum of progressive neurodegenerative diseases that can affect speech production and comprehension as well as higher-order cognition, behavior, and motor control. While profound apathy and deficits …
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Ocean acoustic uncertainty for submarine applications
… uncertainties forecast by multi-resolution ocean models and quantify how those uncertainties affect the pressure fields estimated by coupled ocean models. The quantified uncertainty can then be used to provide enhanced sonar performance predictions for tactical decision aides. High fidelity robust …
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Control of broadband acoustic radiation from structures using a piezoelectric double-amplifier active-skin
… is demonstrated for the reduction of broadband acoustic radiation from a vibrating structure. A simplified representation of the active-skin, employing acoustic monopoles as secondary sources, is explored as a precursor to the more complicated analyses of the device. Many design issues are …
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New empirical equations for calculating sound pressure levels in rooms
Six room acoustic models were reviewed in the existing literature. There was no single acoustical model that was satisfactory for the rooms whose geometric and acoustic characteristics were different. In order to develop a new empirical room equation to predict the sound pressure distribution in …
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A study of adaptive enhancement methods for improved distant speech recognition
… and implemented a variety of machine learning models to improve distant speech recognition performance by adaptively enhancing incoming speech to appear as if it was recorded in a close-talking environment, regardless of whether it was originally recorded in a close-talking or distant …
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Large-margin Gaussian mixture modeling for automatic speech recognition
Discriminative training for acoustic models has been widely studied to improve the performance of automatic speech recognition systems. To enhance the generalization ability of discriminatively trained models, a large-margin training framework has recently been proposed. This work investigates …
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Computational differences between whispered and non-whispered speech
… performs speaker-adaptation for whispered speech acoustic models without needing whispered speech from the target speaker. Results show im- provement over the standard speaker-independent models. Our work opens up additional avenues for research, which are outlined in the conclusions.
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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 …
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Understanding and utilizing waveguide invariant range-frequency striations in ocean acoustic waveguides
Much of the recent research in ocean acoustics has focused on developing methods to exploit the effects that the sea surface and seafloor have on acoustic propagation. Many of those methods require detailed knowledge of the acoustic properties of the seafloor and the sound speed profile (SSP), …
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Joint Training Methods for Tandem and Hybrid Speech Recognition Systems using Deep Neural Networks
Hidden Markov models (HMMs) have been the mainstream acoustic modelling approach for state-of-the-art automatic speech recognition (ASR) systems over the past few decades. Recently, due to the rapid development of deep learning technologies, deep neural networks (DNNs) have become an essential part …
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Acoustic Model Adaptation For Reverberation Robust Automatic Speech Recognition
… adaptation" technique which adapts the clean acoustic models to the reverberant environment and thus provide improved performance. Semi-blind adaptation technique works in two phases, in the first phase reverberation model is estimated and in the second phase using the reverberation model, …
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The benefits of acoustic perceptual information for speech processing systems
… theories such as auditory roughness and acoustic landmarks can act as heuristics to these systems and benefit them in multiple ways. Findings of acoustic landmarks hint that the idea of treating each frame equally might not be optimal. In some cases, landmark information can improve …
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Estimating Gulf of Maine zooplankton distributions using multiple frequency acoustic, video and environmental data
… distributions in the field by combining acoustic models and an integrated set of field data. The accuracy of existing scattering models for fluid-like and elastic-shelled animals is determined by analysis of scattering data from individual animals in a laboratory tank. Results indicate …
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