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The Latest News, Articles, and Events in Signal Processing
Intelligent mobile platforms such as smart vehicles and drones have recently become the focus of attention for onboard deployment of machine learning mechanisms to enable low latency decisions with low risk of privacy breach.
In this paper, we propose a novel sparse signal recovery algorithm called the trainable iterative soft thresholding algorithm (TISTA). The proposed algorithm consists of two estimation units: a linear estimation unit and a minimum mean squared error (MMSE) estimator based shrinkage unit.
In classification theory, it is generally assumed that the data are independent and identically distributed. However, in many practical applications, we face a set of observations that are collected sequentially with a dependence structure among samples.
PhD Position : Image Analysis of dynamic MRI data to study musculoskeletal disorders
Lab
As a member of the SpeechOutput team, the candidate will work as a Speech Scientist on prompt creation for Automotive customer projects. Therefore, they need phonetic and computational linguistic skills as background knowledge. These are needed to support, facilitate and validate the results of prompt optimization processes for customer projects. Moreover, such skills are needed to understand the algorithmic and acoustic implications of each specific customization decision.
The candidate will contribute to the development of user friendly dialog applications that use Natural Language Generation technology. This development happens in close interaction with the main dialog application designer and people from the user experience team on the one side as well as the Text-To-Speech team on the other side to assure that a natural and high quality user experience is obtained.
Our R&D Language Modelling Group is looking for a Senior Language Modelling Researcher to work with on challenging research problems that have a concrete impact on real-world applications – the work you do will impact real users on a daily basis.
Our R&D Language Modelling Group is looking for a Senior Language Modelling Researcher to work with on challenging research problems that have a concrete impact on real-world applications – the work you do will impact real users on a daily basis.
Our R&D Language Modelling Group is looking for a Senior Language Modelling Researcher to work with on challenging research problems that have a concrete impact on real-world applications – the work you do will impact real users on a daily basis.
Nuance offers an exciting opportunity for a Senior Software Engineer - R&D to develop and improve handwriting recognition systems for the transformative automotive industry.
At Nuance, we empower people with the ability to seamlessly interact with their connected devices and the digital world around them. We are creating a world where technology thinks and acts the way people do by designing the most human, natural, and intuitive ways of interacting with technology.
Our nimble technology uses analytics and advanced algorithms to transform the inanimate into animate and reduce complicated processes into simple ones.
The IEEE Signal Processing Society (SPS) is dedicated to promoting webinars on technical and technological innovations (and their applications) in signal processing from top researchers and thought leaders in academia and industry making these available on the SPS Resource Center.
Research Engineer-Automatic Speech Recognition, Shanghai, China
Overview:
Research Engineer-Voice Biometrics (VB) / Speaker Recognition (SR), Shanghai, China
Overview:
Research Engineer-Natural Language Processing, Shanghai, China
Overview:
Overview: Nuance Automotive specializes in conversational AI technologies for car manufacturers, helping them deliver unique user experiences to their customers. With the Dragon Drive platform, Nuance offers a deeply integrated hybrid solution that can be customized to become an OEM-branded smart automotive assistant which seamlessly integrates into the user’s connected ecosystem.
In this position, you will pursue cutting edge research aligned with Nuance’s long-term AI roadmap. The focus will be on developing or improving deep learning algorithms/models for application in natural language understanding and conversational AI systems.
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