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 17 of 17 for “"audio signal processing"”.
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High-resolution sinusoidal analysis for resolving harmonic collisions in music audio signal processing
Many music signals can largely be considered an additive combination of multiple sources, such as musical instruments or voice. If the musical sources are pitched instruments, the spectra they produce are predominantly harmonic, and are thus well suited to an additive sinusoidal model. However, due …
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Design of high fidelity pulse width modulation inverter
… demodulation. Thus PWM can be applied in audio signal processing chain as a switching function for a bridge inverter, and a low-pass filter extracts the audio. Meanwhile, this process is nonlinear. So it has often been assumed that implementation of PWM in audio benefited us with its …
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Visually adaptive virtual sound imaging using loudspeakers
… sound reproduction. The problem is to update the audio signal processing scheme for a moving listener, so that the listener perceives only the intended virtual sound image. The performance of the audio signal processing scheme is limited by the condition number of the associated inversion problem. …
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An intelligent diagnostic system for screening newborns
… an intelligent system for analyzing heart sound signals, able to support physicians in the diagnosis of heart diseases in newborns. Many studies have been conducted in recent years to automatically differentiate normal heart sounds from heart sounds with pathological murmurs using audio signal …
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Indoor human activites recognition using audio signals based on support vector machines and convolutional neural networks
… about environmental sounds (door bells, alarm signals, etc.). This thesis will present two approaches using audio signal processing: support vector machines method and convolutional neutral networks method. In both methods, audio feature extraction is needed since the original audio signal …
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Comparison of classification techniques for speechaudio applications
… noise or speech vs. music can be used in speech/audio signal processing applications as an important part to achieve a lower bit-rate or to enhance the performance of coding in multimedia communications. In recent years, some research on the classification has been published. In the previous work …
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Neuromorphic audio processing through real-time embedded spiking neural networks.
In this work novel speech recognition and audio processing systems based on a spiking artificial cochlea and neural networks are proposed and implemented. First, the biological behavior of the animal’s auditory system is analyzed and studied, along with the classical mechanisms of audio signal …
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An iterative, residual-based approach to unsupervised musical source separation in single-channel mixtures
… thesis concentrates on a major problem within audio signal processing, the separation of source signals from musical mixtures when only a single mixture channel is available. Source separation is the process by which signals that correspond to distinct sources are identified in a signal mixture …
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Sinusoids, noise and transients: spectral analysis, feature detection and real-time transformations of audio signals for musical applications
… for real-time transformations of musical audio signals using sinusoidal models. Four open-source software libraries were developed with the goal of providing real-time spectral synthesis by analysis tools for composers, musicians, researchers and audio signal processing developers. The …
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Improving the Specificity of Medical Ultrasound Imaging Using Scattering Spectrum Matching
… advances in transducer technology, analog mixed-signal electronics, and high-performance computing. Ultrasound imaging is used in numerous applications, including echocardiography and peripheral vascular imaging in addition to specific anatomical imaging such as liver and kidney. In all these …
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A perceptually motivated approach to timbre representation and visualisation.
… research from experimental psychology and audio signal analysis has deepened our understanding of the perception, description, and measurement of musical timbre, suggesting the possibility of more exact forms of representation that directly reference low-level descriptors of the audio …
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Automating acoustic signal processing experiments and audio machine learning datasets using robots
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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The Eltro
In the world of audio signal processing, before the digital era, there was a variety of analog samplers that could pitch-shift and time-compress audio signals on magnetic tape. In all cases, the essence of these devices depended not on one, but typically four tape heads, uniformly placed along a …
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Bayesian approaches to time-frequency inverse problems
… physical media such as gas, liquid or solid, audio signals are better defined and understood by the way their spectral composition evolves over time. Characterising the dynamics of these hidden spectral components—rather than their raw waveform—is crucial in a wide range of practical …
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Microphone array processing for augmented listening
… such as hearing aids, smart headphones, and audio augmented reality platforms, perform poorly in noisy environments with many competing sound sources. This work explores the benefits of large microphone arrays, including novel wearable devices and distributed sensor networks, for augmented …
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Audio super-resolution with deep neural networks
… at applying generative deep neural networks to audio for the task of recovering a high quality audio signal when given a low sample rate signal. Our experiments show that deep networks are able to discover patterns in speech and music signals by working in both time and frequency domains …