Parseval frames can be thought of as redundant or linearly dependent coordinate systems for Hilbert spaces, and have important applications in such areas as signal processing, data compression, and sampling theory. We extend the notion of a Parseval frame for a fixed Hilbert space to that of a moving Parseval frame for a vector bundle over a manifold. Many vector bundles do not have a moving ba...

Strong representations of target speakers can help extract important information about and detect corresponding temporal regions in multi-speaker conversations. In this study, we propose a neural architecture that simultaneously extracts speaker consistent with the diarization objective detects presence each on frame-by-frame basis regardless number conversation. A representation (called z-vect...

Facial expressions are widely used in the behavioral interpretation of emotions, cognitive science, and social interactions. In this paper, we present a novel method for fully automatic facial expression recognition in facial image sequences. As the facial expression evolves over time facial landmarks are automatically tracked in consecutive video frames, using displacements based on elastic bu...

Multi-frame rate systems decouple viewing from rendering in an asynchronous pipeline. Multiple GPUs can be used as frame sources, while a primary GPU is responsible for viewing and display update. Conventionally, the last rendering result is used for display. However, modern GPUs are equipped with a fairly large amount of memory which allows frames to be cached in video memory. As long as the d...

PurposeInter-frame and intra-frame motion can adversely impact the performance of dynamic brain PET imaging. Only correcting the former can still result in degraded qualitative and quantitative performance. Meanwhile, patient motion introduces mismatches between transmission and emission data which may lead to incorrect attenuation and scatter compensation in the reconstruction process. As a re...

In this paper, an adaptive motion vector smoothing scheme based on weighted vector median filtering is proposed in order to eliminate the motion outliers more effectively for improving the quality of side information in frame-based distributed video coding. We use a simple motion vector outlier reliability measure for each block in a motion compensated interpolated frame and apply weighted vect...

Tone has a crucial role in Mandarin speech in distinguishing ambiguous words. In most state-of-the-art Mandarin automatic speech recognition systems, tonal acoustic units are used and F0 features are appended to the spectral features (MFCC/PLP). However, a tone depends on the F0 contour of a time span much longer than a frame. Ideally, systems would compute the framelevel likelihood of a tone u...

In this paper, we investigate the use of the switched split vector quantiser (SSVQ) for coding short-term spectral envelope information for wideband speech coding. The SSVQ is the hybrid of a switch vector quantiser and split vector quantiser, which has been shown in previous studies to be more efficient, in terms of rate-distortion, as well as possessing low computational complexity, than the ...

Storaging or transmission of speech signals at very low bit rate is a hot area in the field of speech processing. We used stochastic inter-frame interpolators and vector quantization (VQ) as a new method for developing a high quality 1200 BPS speech vocoder. The objective and subjecgtive test results show that performance of the new vocoder is compairable with 4800 BPS standard vocoders (as CELP).