Existing lossy audio compression techniques such as MP3, WMA and Ogg Vorbis, for example, demonstrate great success in providing compression ratios which successfully reduce the data size from the original sampled audio. These techniques employ psychoacoustic models and traditional statistical coding techniques to achieve data reduction. However, these methods do not take into account the perce...

Content Based Audio Retrieval system is very helpful to facilitate users to find the target audio materials. Audio signals are classified into speech, music, several types of environmental sounds and silence based on audio content analysis. The extracted audio features include temporal curves of the average zero-crossing rate, the spectral Centroid, the spectral flux, as well as spectral roll-o...

Audio signal classification system analyzes the input audio signal and creates a label that describes the signal at the output. These are used to characterize both music and speech signals. The categorization can be done on the basis of pitch, music content, music tempo and rhythm. The signal classifier analyzes the content of the audio format thereby extracting information about the content fr...

With the explosive growth of music recordings, automatic classification of music emotion becomes one of the hot spots on research and engineering. Typical music emotion classification (MEC) approaches apply machine learning methods to train a classifier based on audio features. In addition to audio features, the MIDI and lyrics features of music also contain useful semantic information for pred...

The transmission of the entire video and audio sequences over an internal or external network during the implementation of audio-visual recognition over internet protocol is inefficient especially when only selected data out of the entire video and audio sequences are actually used for the recognition process. Hence, in this paper, we propose an efficient method of implementing audio-visual rec...

We discuss an experimental audio feedback system and method for positional guidance in real-time surgical instrument placement tasks. This system is intended for future usability testing in order to ascertain the efficacy of the use of the aural modality for assisting surgical placement tasks in the operating room. The method is based on translating spatial parameters of a surgical instrument o...

In this dissertation research, we explore ways of using audio on AR applications, as it is especially suitable for mobile users when their eyes and hands are not necessarily available and they have limited attention capacity. While most previous mobile AR audio systems were mostly tested in sparse audio maps, we want to create a system that can be challenged by a city load of information. We de...

This extended abstract details a submission to the Music Information Retrieval Evaluation eXchange (MIREX) 2008 for the training and classification tasks audio music mood, audio genre, audio artist and audio tag. The same system has been submitted for the various tasks without any adaptations to the specific problems. The system named ircamclassification is a generic system which performs batch...

The existing audio retrieval systems fall into one of two categories: single-domain systems that can accept data of only a single type (e.g. speech) or multiple-domain systems that offer content-based retrieval for multiple types of audio data. Since a single-domain system has limited applications, a multiple-domain system will be more useful. However, different types of audio data will have di...

In this paper, the audio emotion recognition system is proposed that uses a mixture of rule-based and machine learning techniques to improve the recognition efficacy in the audio paths. The audio path is designed using a combination of input prosodic features (pitch, log-energy, zero crossing rates and Teager energy operator) and spectral features (Mel-scale frequency cepstral coefficients). Me...