Three extension tools for extending and enhancing the compression performance of prediction-based lossless audio coding are proposed. The first extension aims at supporting floatingpoint data input in addition to integer PCM data. The second is progressive-order prediction of the starting samples at each random-access frame, where the information on previous frame is not available. The third is...

Today, digital audio applications are part of our everyday lives. 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 extracted from the input signal. Time d...

This paper provides an overview of the effects of timing jitter in audio sampling analog-to-digital converters (ADCs), i.e. PCM (conventional or Nyquist sampling) ADCs and sigma-delta (Σ∆) ADCs. Jitter in a digital audio is often defined as shortterm fluctuations of the sampling instants of a digital signal from their ideal positions in time. The influence of the jitter increases particularly w...

Most significantly, user customized control for a sound of digital audio in a smart home must be able to adjust many environmental contexts simultaneously. A sound is affected by a temperature, humidity, and atmospheric pressure. And user must tune the sound of digital audio every time according to environmental contexts. In this paper, we developed a customized user interface for a remote cont...

The automatic generation of dynamic or complex audio signals has a wide range of applications, from sound effects design to virtual instrument implementation. Techniques for the creation of content in these domains typically involve searching though large input spaces in order to find combinations that produce interesting results. These input spaces can be viewed as all the possible input signa...

This paper presents a general framework for semi-automatic error analysis in large-scale statistical machine translation (SMT) systems. The main objective is to relate characteristics of input documents (which can be either in text or audio form) to the system's overall translation performance and thus identify particularly problematic input characteristics (e.g. source, genre, dialect, etc.). ...

In this study, a system, that generates visual speech by synthesizing 3D face points, has been implemented. The synthesized face points drive MPEG-4 facial animation. To produce realistic and natural speech animation, a codebook based technique, which is trained with audio-visual data from a speaker, was employed. An audio-visual speech database was created using a 3D facial motion capture syst...

Local-area networks offer a means to interconnect personal computers to achieve more processing, input, and output for music and multimedia performances. The distributed, realtime object system, Aura, offers a carefully designed architecture for distributed real-time processing. In contrast to streaming audio or MIDI-over-LAN systems, Aura offers a general real-time message system capable of tr...

The Bayesian Information Criterion (BIC) is a widely adopted method for audio segmentation; typically, it is applied within a sliding variable-size analysis window where single changes in the nature of the audio are locally searched. In this work, a dynamic programming algorithm which uses the BIC method for globally segmenting the input audio stream is described, analyzed, and experimentally e...

In recently developed interactive virtual environments, video and audio are the most fundamental elements and important as input methods. Video input is used not only for recording and replay, but also for the analysis and recognition of objects and motion. Audio input is an equally intuitive medium for communication with the virtual humans. These media enable an operator to control the environ...