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The Latest News, Articles, and Events in Signal Processing
Deep neural networks (DNNs) have been proven to be powerful models for acoustic scene classification tasks. State-of-the-art DNNs have millions of connections and are computationally intensive, making them difficult to deploy on systems with limited resources.
As a reminder for continuing chapter chairs and for incoming chapter chairs for 2019, we would like to highlight a valuable resource available to you. Launched last year was IEEE OU Analytics, a web-based business intelligence tool to deliver essential metrics on memberships or subscriptions to OUs, including Societies, Councils, Technical Communities, etc.
Due to overwhelming interest in Member Driven Initiative funding, the IEEE Signal Processing Society has changed its process for submitting proposals through the program. This includes proposals for Forums, Regional Meetings, and Chapter Driven Initiatives.
Neural networks have shown great potential in language modeling. Currently, the dominant approach to language modeling is based on recurrent neural networks (RNNs) and convolutional neural networks (CNNs). Nonetheless, it is not clear why RNNs and CNNs are suitable for the language modeling task since these neural models are lack of interpretability.
One of the biggest challenges in multimicrophone applications is the estimation of the parameters of the signal model, such as the power spectral densities (PSDs) of the sources, the early (relative) acoustic transfer functions of the sources with respect to the microphones, the PSD of late reverberation, and the PSDs of microphone-self noise.
The transfer of acoustic data across languages has been shown to improve keyword search (KWS) performance in data-scarce settings. In this paper, we propose a way of performing this transfer that reduces the impact of the prevalence of out-of-vocabulary (OOV) terms on KWS in such a setting.
Recently, the binaural auditory-model-based quality prediction (BAM-Q) was successfully applied to predict binaural audio quality degradations, while the generalized power-spectrum model for quality (GPSM q ) has been demonstrated to account for a large variety of monaural signal distortions.
The SPS Awards Board is now accepting nominations for all Society level awards, from paper awards to the major society awards. Nominations are due by 1 September 2019. Nominators should take into consideration the need for representation of diversity in the award nomination slate, when submitting their nominations.
The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 100 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest.
Existing forensic techniques for image manipulation localization crucially assume that probe pixels belong to one of exactly two classes, genuine or manipulated. This letter argues that this convention fuels mis-labeling particularly in unsupervised settings, where singular but genuine...
In smart metering systems, a rechargeable battery can be utilized to protect the privacy of a user from the utility provider by partially masking the load profile of the user. In this line of research on using rechargeable batteries for privacy protection, most existing works have studied only single-user systems using rechargeable batteries.
This letter investigates how to place the received-signal-strength (RSS) sensors to improve the static target localization accuracy in the three-dimensional (3-D) space. By using the A-optimality criterion, i.e., minimizing the trace of the inverse Fisher information matrix (FIM), a new optimal RSS sensor placement strategy is developed when sensors can be placed freely in the 3-D space.
In this letter, we consider the problem of direction-of-arrival (DOA) estimation with one-bit quantized array measurements. With analysis, it is shown that, under mild conditions the one-bit covariance matrix can be approximated by the sum of a scaled unquantized covariance matrix and a scaled identity matrix.
IEEE Signal Processing Society (SPS) President, Ali H. Sayed, is seeking nominations for the positions of Chair and Vice Chair of the IEEE SPS Fellow Evaluation Committee. The term of appointment for each position is one year, renewable (1 January 2020-31 December 2020). The Chair is responsible for chairing the Fellow Evaluation Committee, which is responsible for evaluating nominations for IEEE Fellow that are referred for review by the IEEE Fellow Committee.
The IEEE Signal Processing Society Chapter of the Year Award will be presented for the ninth time in 2020. The award will be presented annually to a Chapter that has provided their membership with the highest quality of programs, activities and services. The award will be presented annually in conjunction with the International Conference on Acoustics, Speech and Signal Processing (ICASSP) to the Chapter’s representative.
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
The Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.
Lecture Date: June 17, 2019
Chapter: Italy
Chapter Chair: Mauro Barni
Topic: Signal Enhancement in Consumer Products
Lecture Date: June 18, 2019
Chapter: Atlanta
Chapter Chair: Alessio Medda
Topic: Distributed Algorithms for Principal Component Analysis
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