At the University of Trento ( Italy ) we are looking for highly motivated researcher to join
our research team and work on Natural Language Understanding and Dialog Modeling and Systems.
The Signals and Interactive Systems Lab at University of Trento attracts researchers from
computational linguistics, computer science, electrical engineering to design and train the
most advanced interactive and conversational systems.
You will join the research team that has been training intelligent machines and evaluating
We encourage applications from outstanding candidates with strong academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields. At Inria we seek to increase the number of women in areas where they are underrepresented and therefore explicitly encourage women to apply.
Researchers from UC Berkeley have developed a deep learning model that can automatically transfer your font style. The model is named multi-content generative adversarial network (MC-GAN).
Cardiac magnetic resonance imaging (CMRI) has been proven to be a valuable source of diagnostic information concerning heart health. One application, myocardial blood flow (MBF) quantification using first-pass contrast-enhanced myocardial perfusion, has aided the detection of coronary artery disease and provides an accurate evaluation of myocardial ischemia, an identifier of coronary artery stenosis.
Speaker age and gender classification is one of the most challenging problems in speech processing. Recently with developing technologies, identifying a speaker age and gender has become a necessity for speaker verification and identification systems such as identifying suspects in criminal cases, improving human-machine interaction, and adapting music for awaiting people queue.
In patent no 9,852,740 a high quality speech is reproduced with a small data amount in speech coding and decoding for performing compression coding and decoding of a speech signal to a digital signal.
So much of our daily lives are powered by signal processing technologies. They go unnoticed mostly because that’s the purpose – to help our lives run more seamlessly, with little to no impact. For example, you’re probably reading this blog on your computer. Guess what? Signal processing is responsible for your computer’s ability to store data and run smoothly.
Our heartiest congratulations to Mari Ostendorf, winner of the 2017 SPS Meritorious Service Award “for exemplary service to and leadership in the Signal Processing Society.” Mari’s service to SPS has included membership many SPS committees, including the Speech Processing Technical Committee (1990-93), the SPS DSP Education Committee (1992-93), the SPS Awards Committee (2009, 2015) and the SPS Awards Board (2015-2016), the SPS Executive Committee (2012-2014). She also served on the SPS Board of Governors (2009-2014) and was Vice President for Publications for SPS (2012-2014).&nb