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Pranayama Breathing Detection With Deep Learning, Bikash Shrestha
Pranayama Breathing Detection With Deep Learning, Bikash Shrestha
Theses
Yoga, a complementary health approach, according to a 2017 National Health Interview Survey by the Center for Disease Control and Prevention (CDC), is a choice of around 14.3% adults in the US. Kapalbhati pranayama, a yoga practice of alternating fast exhales and longer passive inhales, is understood to improve our health. Incorrect and irregular practices, however, can cause injuries and adverse effects. To avoid these undesired effects, it is essential to maintain a pace fit for the practitioner. In the absence of any tools to observe a pace of practice, this work develops a deep learning method that listens to …
Investigating The Interaction Between Positions And Signals Of Height-Channel Loudspeakers In Reproducing Immersive 3d Sound, Antonios Karampourniotis
Investigating The Interaction Between Positions And Signals Of Height-Channel Loudspeakers In Reproducing Immersive 3d Sound, Antonios Karampourniotis
Theses
Since transmission capacities have significantly increased over the past few years, researchers are now able to transmit a larger amount of data, namely multichannel audio content, in the consumer applications. What has not been investigated in a systematic way yet is how to deliver the multichannel content. Specifically, researchers' attention is focused on the quest of a standardized immersive reproduction format that incorporates height loudspeakers coupled with the new high-resolution and three-dimensional (3D) media content for a comprehensive 3D experience. To better understand and utilize the immersive audio reproduction, this research focused on the (1) interaction between the positioning of …
Modio - Interactive Sound Visualization, Kwon Hyouck Jin
Modio - Interactive Sound Visualization, Kwon Hyouck Jin
Theses
The word “Modio” is a compound word of Motion and Audio, which I coined for this thesis. The intent of this thesis is an interactive installation project that will explore and convert musical elements into visual elements, which will lead to various responses to the change caused by users’ interaction.
An Auditory Classifier Employing A Wavelet Neural Network Implemented In A Digital Design, Jonathan Hughes
An Auditory Classifier Employing A Wavelet Neural Network Implemented In A Digital Design, Jonathan Hughes
Theses
This thesis addresses the problem of classifying audio as either voice or music. The goal was to solve this problem by means of digital logic circuit, capable of performing the classification in real time. Since digital audio is essentially a discrete non-periodic timeseries, it was necessary to extract features from the audio which are suitable for classification. The discrete wavelet transform combined with a feature extraction method was found to produce such features. The task of classifying these features was found to be best performed by an artificial neural network. Collectively known as a wavelet neural network, the digital logic …