Constrained Maximum Likelihood Linear Regression (CMLLR) is a widely used speaker adaptation technique in which an affine transform of the features is estimated for each speaker....
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
This paper considers linear precoding for time-varying multipleinput multiple-output (MIMO) channels. We show that linear minimum mean-squared error (LMMSE) equalization based on ...
Jun Tong, Peter J. Schreier, Steven R. Weller, Lou...
One of the fundamental building blocks of text processing for textto-speech (TTS) synthesis is the assignment of a part-of-speech (POS) tag to each input word. POS tags are heavil...
Lossy compression of hyperspectral and ultraspectral images is traditionally performed using 3D transform coding. This approach yields good performance, but its complexity and mem...
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
Victoria Kostina, Marco F. Duarte, Sina Jafarpour,...
This study seeks to quantify the effectiveness of a broad range of acoustic features for speaker identification and their impact in feature fusion. Sixteen different acoustic feat...
Aaron D. Lawson, Pavel Vabishchevich, Mark C. Hugg...
This paper proposes a simple method of realization of centerfrequency adaptive filters for high-accuracy detection of band-pass signals immersed in a broadband signal. Our method...
Two proportionate af ne projection sign algorithms (APSAs) are proposed for system identi cation applications, such as network echo cancellation (NEC), where the impulse response ...
Non-uniform light distribution problems often arise in the text images taken by digital camera. In this paper, we propose a novel technique for text image uneven lighting removal ...