Idiap has a new opening for 1 Postdoc position in Speech and Speaker recognition for HMI devices

The Idiap Research Institute together with a global industry partner, leader in Consumer Electronics, invite applications for two post-doctoral positions in speech and speaker recognition for HMI devices. The positions are funded for two years by the Swiss Commission for Technology and Innovation (CTI), enabling a collaboration between Idiap and an innovative product company.

The successful candidates will work with Dr. Philip N. Garner, and/or Dr. Petr Motlicek in Idiap's Speech and Audio Processing group, engaged in world-class research in speech processing. Exceptionally qualified candidates can also be considered for a longer-term Research Associate position.


In recent years, the state of the art in speech and speaker recognition has been dominated by deep learning. Such technology is typically highly parametric; training can require significant CPU or GPU resources. The goal of the project is to investigate the application of the state of the art to the more limited resources of consumer-grade embedded systems which operate in combination with cloud services.

We envisage three related research threads:

1. Parameter reduction, in which we will apply sparsity and relevance constraints to train networks that function using as few parameters as possible.

2. Smart handover, in which we will assess the complexity of voice commands to optimise workload between local devices and cloud-based services.

3. System combination, in which we will build on the commonality between technologies for multilingual speech recognition, keyword spotting and speaker recognition to create a single system with multiple capabilities.

The successful candidates will work at Idiap in Martigny, but in close collaboration with the partner’s R&D team based in Switzerland. The project is a unique combination of applied science and academic research expected to yield both reference designs and academic publications.


Candidates should have either or both of:
1. A strong background in engineering, mathematics or a related discipline, along with the associated familiarity with modern distributed programming environments and languages such as C++, Python and Perl.
2. An exceptional academic record and a clear aptitude for creative (and independent) research in a related discipline.
In either case, familiarity with speech processing tools such as Kaldi and deep learning toolkits such as Torch will be a distinct advantage. Although a PhD is normally a prerequisite for a post-doctoral position, candidates without a PhD may be considered in exceptional cases.


All positions are offered on a one-year basis with the possibility of renewal based on funding and performance. The starting salary will be 80,000 CHF/year. Starting date could be immediate, but otherwise as soon as possible in 2018.

To apply for this position, click on the following link: Speech and Speaker recognition for HMI devices