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December 10-12, 2019
Location: Ajman, United Arab Emirates
June 8-11, 2020
Location: Changed to--Virtual Conference
Lecture Date: August 5, 2019
Chapter: Tokyo
Chapter Chair: Kazuya Takeda
Topic: Intelligent ear-level devices for hearing
enhancement and health and wellness monitoring
Lecture Date: August 12, 2019
Chapter: Beijing
Chapter Chair: Qiuqi Ruan
Topic: Tackling the ultimate cocktail party problem
using joint auditory attention decoding and beamforming
This paper presents a flexible array response control algorithm via oblique projection, abbreviated as FARCOP, and its application to array pattern synthesis. The proposed FARCOP algorithm stems from the adaptive array theory, and it can flexibly, precisely and simultaneously adjust the array response levels at multiple angles based on an arbitrarily given weight vector.
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.