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The Latest News, Articles, and Events in Signal Processing
Job Description
A Career at HARMAN
Stanford University announces a postdoctoral fellowship, with initial term of October 1, 2018 to September 30, 2019 with the potential for renewal.
The postdoc would join our project on using NLP, dialogue, and speech processing to improve police-community relations by processing and studying the language from police body-worn cameras.
PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES
The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is looking for highly motivated students to work on:
- Improving performance and biocompatibility of electrode arrays for brain-computer interfaces
- Functional investigation of innovative neural interfaces
To work on advanced methods for automatic speech recognition with the aim towards building transferable multiple domain end to end recognition systems that are adaptive and can learn over long periods of time.
To work on advanced deep learning methods to build robust and high performance methods for speech recognition that can work in the context of many languages and that allow fast building of recognition systems for new languages.
To work on unified methodologies to extract information from speech that allows to infer a variety of speech properties relating to the emotional state. Methods should be robust and the work should keep further speech attributes in mind. The position is funded by the Innovate UK (UKRI) project MAUDIE and by IIKE in collaboration with Emotech Ltd. Salaries are at University of Sheffield grade scales 7.1 - 7.9, and the opening is for 12 months.
To work on robust methods for direct recognition from the raw waveforms - to achieve robustness against environmental effects. Work should focus on telephony, but further multichannel input is of interest. Funding for 3 years, in the context of the Voicebase Centre for Speech and Language Technologies.
Diarisation is the process of recognising who speaks when, with as little prior knowledge as possible. To this day it is implemented as a multi-stage process. Research should focus on integrating what is now typically 4 stages of processing into an end to end . Funded by UKRI for 3.5 years. Funding details to be announced soon.
To work on methods that allow to increase the productivity of Movie Voice Dubbing methodology through advanced speech technology. The aim is to develop and implement methods that can help media specialists in foreign language dubbing to produce spoken translations that fit perfectly to the visual content. The project work is in conjunction with Zoo Digital who provide access to rich and very large media archives.
To work on novel deep learning methods for building recognition systems that can operate in several languages, methods for adapting recognition systems to languages with minimal data, methods that allow automatic inference of language attributes, or methods of unsupervised adaptation to new languages.
Funding for 3 years, in the context of the Voicebase Centre for Speech and Language Technologies.
The Board of Governors of the IEEE Signal Processing Society elected one new Officer who will start her term on 1 January 2019.
The Nominations and Appointments Subcommittee for each Technical Committee is currently seeking nominations for new Members, as well as the Vice Chair position for some Technical Committees. Nominations for both positions should be submitted directly to each Technical Committee’s Nominations and Appointments Subcommittee.
In 1882, a banker in Sacramento, Calif., named Frank Miller developed an absolutely unbreakable encryption method. Nearly 140 years later, cryptographers have yet to come up with something better.
Individual feature articles and special issues are two major mechanisms of full-length tutorial surveys of IEEE Signal Processing Magazine (SPM). Since the May 2016 feature article cluster by Jane Wang et al.
Principal component analysis (PCA) is one of the most widely used dimension reduction techniques. A related easier problem is termed subspace learning or subspace estimation. Given relatively clean data, both are easily solved via singular value decomposition (SVD). The problem of subspace learning or PCA in the presence of outliers is called robust subspace learning (RSL) or robust PCA (RPCA).
Low-rank modeling plays a pivotal role in signal processing and machine learning, with applications ranging from collaborative filtering, video surveillance, and medical imaging to dimensionality reduction and adaptive filtering.
Individual feature articles and special issues are two major mechanisms of full-length tutorial surveys of IEEE Signal Processing Magazine (SPM). Since the May 2016 feature article cluster by Jane Wang et al. on brain signal analytics, SPM’s current and past editors-in-chief and their teams have been exploring a different way to complement this existing structure - a feature article cluster (or mini special issue) that allows for a set of three to five solicited articles on a current topic, instead of just one (feature article) or ten to 11 (a special issue).
I love the last scene from the movie Planet of the Apes (1968), which revealed how the human race destroyed its beautiful planet only to be overtaken by intelligent apes. In that movie, humans were the victims of their own intelligence.
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