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This paper aimed at introducing a completely automated Arabic phone recognition system based on Enhanced Wavelet Packets Best Tree Encoding (EWPBTE) 15-point speech feature. The process of enhancing of WPBTE is provided by adding energy component to WPBTE, which is implemented in Matlab software and makes an enhancement of 65 % to recognizer accuracy which is the most contribution in this paper. EWPBTE...
Conventional music coders, based on a modified discrete cosine transform (MDCT) suffer greatly when lowering their bit-rate and delay. In particular, tonal music signals are penalized by short analysis windows and the variable length coding of the quantized MDCT coefficients demands a significant amount of bits for coding the harmonic structure. For solving such an issue, the paper proposes a frequency-domain...
Recent studies have demonstrated the potential of unsupervised feature learning for sound classification. In this paper we further explore the application of the spherical k-means algorithm for feature learning from audio signals, here in the domain of urban sound classification. Spherical k-means is a relatively simple technique that has recently been shown to be competitive with other more complex...
Analysis of hand gestures in one-to-one tutoring gives a number of characteristics of social interaction and behavior between the tutor and the student. This analysis can not only aid in understanding the effectiveness of the learning methodology and developing new techniques for learning, but also help in developing intelligent and online tutoring systems. Although there exists a comprehensive literature...
This paper presents a novel technique of context-based adaptive arithmetic coding of the quantized MDCT coefficients and frequency band gains in audio compression. A key feature of the new technique is combining the context model in time domain and frequency domain, which used for the quantized norms' and MDCT coefficients' probability. With this new technique, we achieve a high degree of adaptation...
When people engage in discussion or debate, they do not only use spoken language to position themselves in the course of interaction: they use their bodies as well. In this paper, we take a systematic, corpus-based, bottom-up linguistic approach rooted in gesture studies and interactional linguistics to account for the possible functions of two types of gesture during stance taking in the course of...
The paper describes two lossless coding tools employed in the new ITU-T G.711.0 Recommendation: fractional-bit and value-location encoding. Instead of encoding each sample individually as done in G.711, the fractional-bit coding tool identifies the total number of signal levels that exist within an input frame and then combines several samples for joint encoding with fractional-bits per sample. The...
Many extant natural language watermarking techniques demand deep structure analysis, and so suffer in reliability. We propose a scheme for natural language watermarking, which embedding watermark bits into the pragmatics feature of text by rewriting sentences. In contrast, we eschew syntactic and semantic analysis. We make use of transformation templates and our templates based on pragmatics rule...
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