My group, the MLLP research group, was participating jointly with the i6 from RWTH Aachen. I was the proud presenter of our work at IberSPEECH2018 in Barcelona, presenting our speech-to-text systems for the IberspeechRTVEchallenge. We won both tracks of this international challenge on TV show transcription!.
This competition aims to evaluate the state-of-the-art systems in ASR (Automatic Speech Recognition) for broadcast speech transcription. It comprised two categories:
Closed condition: Limiting the systems to be trained with the RTVE2018 database that is provided for the organizer.
Open condition: Systems are allowed to use any data to train the models.
Some of these shows are really challenging, as their content involves different speakers talking at the same time, very noisy field reports, and all kind of real-life situations like these. In the case of the closed condition, there was a tedious part related to the data cleaning and filtering that was a headache, and it made that most teams did not send their systems for evaluation.
This is the poster where we introduced our systems:
And the PDF version in this link and the paper that we submitted for this conference where our system is described in detail.
This is the second poster that I presented during the EuroPython 2018, the gist is how to deploy the required infrastructure to create a TensorFlow cluster, and then provision the software to train a Deep Learning model. For doing this, I used the Infrastructure Manager (http://www.grycap.upv.es/im/index.php) that supports API’s from different virtual platforms, making user applications Cloud-agnostic.
IM also integrates a contextualization system, based on Ansible, to enable the installation and configuration of all the required applications providing a fully functional Deep Learning infrastructure on the Cloud provider that we need.
After PyConUS, I visited Edinburgh to attend to the EuroPython 2018, the largest Python conference in Europe, presenting a poster concerning some part of my work during the M.Sc in parallel and distributed computing.
I wanted to introduced the library SLEPc, developed in Universidad Politécnica de València, and the bindings for using this library with Python: SLEPc4py, as well as MPI and MPI4py. All the information is gathered in the poster that can be found here.
I’m enjoying these days an amazing experience at PyCon 2018 in Cleveland. A lot of firsts: first time in USA, first time at an international PyCon, first time presenting a poster at a conference like this, and so many more firsts, but this is a great experience that I will remember forever.
Thanks a lot to all the people that come to visit my poster and show interest in it!!!
You guys do this so big and awesome!!
After some requests, I’m going to put my poster available (and the LaTeX sources when I have the time, if someone is interested in) in the following link: exploring-generative-models-pycon2018.
And the low-res JPEG version as an image here:
And, one more time, THANK YOU for being so kind to me :).