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Reconstruction of phonated speech from whispers using formant-derived plausible pitch modulation

ACM Transactions on Accessible computing 2015年第4期6卷 1–21页

作者： McLoughlin, Ian V. Sharifzadeh, Hamid Reza Tan, Su Lim Li, Jingjie Song, Yan National Engineering Laboratory of Speech and Language Information Processing University of Science and Technology of China HefeiAnhui230027 China Department of Computing Unitec Institute of Technology Auckland New Zealand Singapore Institute of Technology 10 Dover Drive Singapore138683 Singapore

Whispering is a natural, unphonated, secondary aspect of speech communications for most people. However, it is the primary mechanism of communications for some speakers who have impaired voice production mechanisms, such as partial laryngectomees, as well as for those prescribed voice rest, which often follows surgery or damage to the larynx. Unlike most people, who choose when to whisper and when not to, these speakers may have little choice but to rely on whispers for much of their daily vocal interaction. Even though most speakers will whisper at times, and some speakers can only whisper, the majority of today's computational speech technology systems assume or require phonated speech. This article considers conversion of whispers into natural-sounding phonated speech as a noninvasive prosthetic aid for people with voice impairments who can only whisper. As a by-product, the technique is also useful for unimpaired speakers who choose to whisper. Speech reconstruction systems can be classified into those requiring training and those that do not. Among the latter, a recent parametric reconstruction framework is explored and then enhanced through a refined estimation of plausible pitch from weighted formant differences. The improved reconstruction framework, with proposed formant-derived artificial pitch modulation, is validated through subjective and objective comparison tests alongside state-of-the-art alternatives. © 2015 ACM.

关键词： Modulation

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A federated network online network traffics analysis engine for cybersecurity

A federated network online network traffics analysis engine ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Shaoning Pang Yiming Peng Tao Ban Daisuke Inoue Abdolhossein Sarrafzadeh Department of computing Unitec Institute of Technology New Zealand Cybersecurity Laboratory National Institute of Information and Communications Technology (NICT) Japan

ISBN: (纸本)9781479919611

Agent-oriented techniques are being increasingly used in a range of networking security applications. In this paper, we introduce FNTAE, a Federated Network Traffic Analysis Engine for real-time network intrusion detection. In FNTAE, each analysis engine is powered with an incremental learning agent, for capturing attack signatures in real-time, so that the abnormal traffics resulting from the new attacks are detected as soon as they occur. Owing to the effective knowledge sharing among multiple analysis engines, the integrated engine is theoretically guaranteed performing more effective than a centralized analysis system. We deployed and tested FNTAE in a real world network environment. The results demonstrate that FNTAE is a promising solution to improving system security through the identification of malicious network traffic.

关键词： Engines Merging Computer security IP networks Artificial neural networks Switches

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Efficient FxLMS algorithm with simplified secondary path models

Efficient FxLMS algorithm with simplified secondary path mod...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Iman T. Ardekani Hamid Sharifzadeh Saeed Rehman Waleed H. Abdulla Computing and Information Technology Department Unitec Institute of Technology Auckland New Zealans ECE Department University of Auckland Auckland New Zealans

This paper extends the existing work on the root locus analysis of FxLMS algorithm by considering secondary path modeling errors. Rules for sketching FxLMS root locus are set out. An analytic convergence condition is then derived from the root locus plot. A deliberately-misaligned secondary path model is proposed to be used as the data preparation filter in the FxLMS algorithm. The proposed filter increases the computational efficiency of the algorithm, without changing its convergence behavior. The theoretical results are verified in practice by busing an experimental system.

关键词： Computational modeling Adaptation models Lead Nickel Real-time systems

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An investigation of factors and measurements for successful e-commerce websites

WEBIST 2014 - Proceedings of the 10th International Conferen...

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WEBIST 2014 - Proceedings of the 10th International Conference on Web information Systems and Technologies 2014年 1卷 354-360页

作者： Li, Xiaosong Lian, Wei Sarrafzadeh, Abdolhossein Department of Computing and Information Technology Unitec Institute of Technology Auckland New Zealand

ISBN: (纸本)9789897580239

Business-to-Consumer (B2C) e-commerce is popular because of its convenience, speed and price. Although there has been intense debate about quality dimensions of e-commerce websites, more research is needed to find a well-established measurement. This empirical study identifies a set of measurements with 10 factors and their corresponding dimensions, including software development attributes based on the literature and the qualitative and quantitative data gathered from four different stakeholders. The survey results suggest that security, smooth transaction processes and smooth shopping processes are the most important concerns for online shoppers. The IS success model checking suggests that the proposed measurements are comprehensive. This work is compared with the customized ISO 9126 quality model. Copyright © 2014 SCITEPRESS.

关键词： Websites

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A new biological visual cognitive behavioural modeling for video energy computing 13

A new biological visual cognitive behavioural modeling for v...

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13th IEEE International Conference on Cognitive Informatics and Cognitive computing, ICCI*CC 2014

作者： Zuojin, Li Liukui, Chen Zhiyong, Ren Tirumala, Sreenivas Sremath College of Electrical and Information Engineering Chongqing University of Science and Technology Chongqing China Department of Communication Chongqing College of Electronic Engineering Chongqing China Department of Computing Faculty of Creative Industries and Business Unitec of Institute and Technology Auckland New Zealand

ISBN: (纸本)9781479960811

As we all know, human vision is quite sensitive to abnormal behaviors, which is attributed to the discharging of the receptor cells in the brain visual cortex and the ensuing bioelectrical energy features. Inspired by this biological nature, this paper constructs a computing model to describe video dynamic energy, which can further improve the perception of machine vision to abnormal behaviors. Experiments show that this computing model can extract video energy features of abnormal behaviors under complex environment. © 2014 IEEE.

关键词： Biologicalsystemmodeling Brainmodeling Computationalmodeling Imageedgedetection Mathematicalmodel Visualization computemodeling videoenergy visualcongenitive abnormal behavior Visualization Computational modeling cell receptor Videotapes robot vision Energy sources characteristic energy senses Perception

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A pattern recognition for group abnormal behaviors based on Markov Random Fields energy 13

A pattern recognition for group abnormal behaviors based on ...

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13th IEEE International Conference on Cognitive Informatics and Cognitive computing, ICCI*CC 2014

ISBN: (纸本)9781479960811

Group abnormal behaviors often occur abruptly under video surveillance, thus bringing serious consequences. How to recognize these behaviors correctly has always been the difficulty in research on intelligence video surveillance. This paper is based on the basic theory of Markov Random Fields to extract the features of those in video images, so as to recognize the group abnormal behaviors under video surveillance. Experiments show that this method can well reflect the real situation at the spot. © 2014 IEEE.

关键词： Computationalmodeling Educationalinstitutions Featureextraction HiddenMarkovmodels Markovrandomfields Streamingmedia Videosurveillance Markovmodel abnormalbehaviors patternrecognition abnormal behavior Markov random fields video monitoring Pattern recognition

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Learning from industry by using an inquiry based learning approach

Learning from industry by using an inquiry based learning ap...

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Frontiers in Education (FIE) Conference

作者： Xiaosong Li Department of Computing & Information Technology Unitec Institute of Technology Auckland New Zealand

ISBN: (纸本)9781467352598

Inquiry based and constructivist activities can motivate students to take charge of their own learning, understand multiple perspectives and develop high level reasoning skills. This paper describes a case study of six year teaching practice in one of our Master courses. The course requires the students to acquire critically analysis, evaluation and research skills. The course also requires the students to acquire the techniques and technologies related to many aspects of an enterprise website. There are only 32 hours for class meetings so the students have to work by themselves in most of the time. The best way to achieve the course requirements is to use the constructivist activities, let the students individually or collaboratively to work with the relevant partners and build the required knowledge and skills gradually. An assignment was developed which requires the students to investigate different aspects of an enterprise website. To complete this assignment, the students need to use an inquiry based learning approach. The practice is evaluated by using a set of survey data, a set of data observed from the marking reports and the industry feedbacks. The practice is effective, while the practice is improving; the students' abilities of planning, investigating, analyzing, communicating and reflecting are improving as well. The students' contributions are valuable to the industry. The paper also includes a discussion which links the teaching practice with the relevant theories.

关键词： Cognition Cryptography Monitoring Collaboration Industries

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An incremental learning approach to continuous image change detection

An incremental learning approach to continuous image change ...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Lei Song Shaoning Pang Gang Chen Hossein Sarrafzadeh Tao Ban Daisuke Inoue Department of Computing Unitec Institute of Technology Auckland New Zealand National Institute of Information and Communications Technology Tokyo Japan

ISBN: (纸本)9781467352512

This paper proposes a novel incremental learning based image change detection method capable of detecting changes over image series. Given two images for change detection, an intelligent agent is trained by incremental learning on the source image. As detecting changes to target image, the agent conducts “one-step more” incremental learning on the target image to find its difference against what has been just learned from the source image. For detecting continuously changes to the third image, the agent upgrade its knowledge on the second image by performing incremental learning on top of its current knowledge. For performance evaluation, we performed extensive change detection experiments on both static images and image series. The results show that the proposed approach not only provides consistently accurate image detection, but also demonstrates substantial memory efficiency improvements when compared to existing methods.

关键词： Image Series Change Detection Incremental Learning Intelligent Agent learning (artificial intelligence) Intelligent agents source image Image change detection target image Image detection images continuous image

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Chunk Incremental IDR/QR LDA Learning

Chunk Incremental IDR/QR LDA Learning

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International Joint Conference on Neural Networks

作者： Yiming Peng Shaoning Pang Gang Chen Abdolhossein Sarrafzadeh Tao Ban Daisuke Inoue Department of Computing Unitec Institute of Technology Private Bag 92025 Auckland 1142 New Zealand National Institute of Information and Communications Technology 4-2-1 Nukui-Kitamachi Koganei Tokyo 184-8795 Japan

ISBN: (纸本)9781467361279

Training data in real world is often presented in random chunks. Yet existing sequential Incremental IDR/QR LDA (s-QR/IncLDA) can only process data one sample after another. This paper proposes a constructive chunk Incremental IDR/QR LDA (c-QR/IncLDA) for multiple data samples incremental learning. Given a chunk of s samples for incremental learning, the proposed c-QR/IncLDA increments current discriminant model Ω, by implementing computation on the compressed the residue matrix A ε R~(d×η) , instead of the entire incoming data chunk X ε Rd×η~s, where η ≤ s holds. Meanwhile, we derive a more accurate reduced within-class scatter matrix W to minimize the discriminative information loss at every incremental learning cycle. It is noted that the computational complexity of c-QR/IncLDA can be more expensive than s-QR/IncLDA for single sample processing. However, for multiple samples processing, the computational efficiency of c-QR/IncLDA deterministically surpasses s-QR/IncLDA when the chunk size is large, i.e., s ≥η holds. Moreover, experiments evaluation shows that the proposed c-QR/IncLDA can achieve an accuracy level that is competitive to batch QR/LDA and is consistently higher than s-QR/IncLDA.

关键词： s-QR/IncLDA chunk s samples Chunking laser Doppler anemometry Anterior interventricular branch of left coronary artery Left-sided displacement of abomasum learning (artificial intelligence) Incremental Data sampling information loss Training data Computational efficiency complexity classes

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A tale of four cities: Wireless security & growth in New Zealand

A tale of four cities: Wireless security & growth in New Zea...

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2012 International Conference on computing, Networking and Communications, ICNC'12

作者： Nisbet, Alastair Department of Computing and Information Technology Faculty of Creative Industries and Business Unitec Auckland New Zealand

ISBN: (纸本)9781467300094

Wireless networks have enjoyed considerable growth since their introduction. Security protocols supplied with the wireless equipment have reached a level of very high and robust security. However, security remains a problem when it should be a distant memory. This research attempts to help answer two questions from a New Zealand perspective. What is the current state of wireless network growth and security implementations in New Zealand, and what still needs to be done to further improve security? A wardrive of the wireless networks in 4 main cities across New Zealand has produced comprehensive data on the numbers of networks and their security settings. In the two largest cities, these results are compared to a wardrive 7 years previously so that the growth in networks and the changes in security are identified. Where possible, the type of security implemented is also identified. Finally, a brief discussion on what settings should be considered to increase security and efficiency where possible is made. © 2012 IEEE.

关键词： IEEE Standards

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