Omilia Blog
End-To-End Architectures For ASR-Free Spoken Language Understanding
Can we build robust Spoken Language Understanding (SLU) systems that recognise intents from utterances directly, without involving Automatic Speech Recognition…
The business value of React Hooks is huge
React Hooks were officially released in February of 2019 and since then the frontend world has started changing rapidly. Other…
Research paper: GDPR & Speech Data
Part of Omilia’s role is funding research on emerging issues related to speech technologies. In this paper, Andreas Nautsch -whose…
Omilia R&D team presenting at Interspeech 2019
The Omilia R&D team will be presenting three papers in Austria during Interspeech this year as result of the ongoing…
Conversation Studio: Automate This!
What is Conversation Studio? Conversation Studio is an Omilia Development Framework which allows building brand customized language applications for customer…
Open Ended Dialogs From The Future
When you think about the future, what do you see? Cars driving themselves, a plastic-free, zero-carbon-emission planet and robots that…
React.StrictMode can help us modernise big production applications
In 2019 React is moving fast to concurrent rendering era. This change will be a massive boost for client-side apps…
Omilia 2019 Partner Seminars: An ASR Instructor’s Reflections
It is a truth universally acknowledged – and by universally I mean among us techies – that Automated Speech Recognition…
Omilia R&D Team Contributions to Research Papers
Omilia’s R&D team comprises PhD and/or MSc holders with strong contribution to research on ASR and NLU. This is a…
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture
Omilia’s R&D team comprises PhD and/or MSc holders with strong contribution to research on ASR and NLU they have co-authored…
ABC NIST SRE 2018 System Description
Omilia’s R&D team comprises PhD and/or MSc holders with strong contribution to research on ASR and NLU they have co-authored…
Speaker Verification Using End-to-End Adversarial Language Adaptation
Omilia’s R&D team comprises PhD and/or MSc holders with strong contribution to research on ASR and NLU they have co-authored…