Functional magnetic resonance imaging (fMRI) was used to investigate the brain activity underlying audio-visual speech perception in normally hearing and congenitally deaf individuals. Data were collected while subjects experienced three different types of speech stimuli: audio stimuli without visual input, video of a speaking face without audio input, and video of a speaking face with audio in...

An overview on problems and methods to map performers’ actions to a synthesized sound is presented. Approaches incorporating the audio signal are described, and a synthesis method called “audio signal driven sound synthesis” is introduced. It uses the raw audio signal of a traditional instrument to drive a synthesis algorithm. The system tries to support musicians with satisfying instrument-spe...

The power amplifiers in a sound system will be responsible for increasing the input to a certain level at which the speaker can play audio in a space with adequate sound pressure. When these spaces are wide, it takes a lot of pressure and this requires a high power, which should be given to the speaker without causing a variation in the pattern of the input signal. To achieve this goal is mainl...

Even the strongest cryptography is breakable if it is easy to guess the key. Therefore, it is critical that keys generated be highly random and difficult to guess. A common source for these random bits is sampling an analog signal generated by a physical noise source. This method has the potential to provide high quality random bits, but usually requires specialized analog circuitry be added to...

In this study, we propose and implement a concatenation-based audio signal synthesis system for the engine noises of continuously varying speed. A user simply draws the engine speed curve through an interface, and the corresponding audio signal is synthesized as output. This drawable interface makes the input function flexible and reduces the input time. The implemented system was evaluated wit...

This work proposes a method to exploit both audio and visual speech information to extract a target speaker from a mixture of competing speakers. The work begins by taking an effective audio-only method of speaker separation, namely the soft mask method, and modifying its operation to allow visual speech information to improve the separation process. The audio input is taken from a single chann...

Audio classification serves as the fundamental step towards the rapid growth in audio data volume. Automatic audio classification is very useful in audio indexing; content based audio retrieval and online audio distribution. The accuracy of the classification relies on the strength of the features and classification scheme. In this work both, time domain and frequency domain features are extrac...

ACKNOWLEDGEMENTS I would like to express my deepest gratitude to my advisor, Dr. David Anderson, for his guidance, support, endurance, and encouragement during my staying at Georgia Tech. He has always been supportive of me not only when I made progress but also when I made mistakes. I am also deeply impressed with his dedication to research and students. I am happy to say that this research is...

In daily life environmental sounds that are present around us include intricately mixed sounds emitted from different sources. This work aim is to contribute a method for sound source separation by means of the enhanced k-means clustering with adaptive genetic algorithm. At first removes the features from the input audio signal by means of Mel Frequency Cepstral Coefficients (MFCC) and spectral...