Omilia Blog

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 collaborations and efforts between Omilia and distinguished educational institutions.

Conversation Studio: Automate This!

What is Conversation Studio? Conversation Studio is an Omilia Development Framework which allows building brand customized language applications for customer care, leading to highly engaging user experiences and human-like, natural conversational interactions.

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 talk like humans. It’s not like this is an obscure prophecy; those things are already happening.

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 and will help frontend engineers to tackle slow performance bottlenecks.

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 selected list of recent publications they have co-authored with their University or Omilia as affiliation.

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 (ASR) is the cornerstone of NLU-based premium client service.

ABC NIST SRE 2018 System Description

This submission is a collaborative/competitive effort of BUT, Phonexia, Omilia, CRIM and UAM. All systems in fusions are based on x-vector paradigm with different features, DNN topologies and backends.

Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture

Recent works in speech recognition rely either on connectionist temporal classification (CTC) or sequence-to-sequence models for character-level recognition.

Speaker Verification Using End-to-End Adversarial Language Adaptation

In this paper we investigate the use of adversarial domain adaptation for addressing the problem of language mismatch between speaker recognition corpora.

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Large Corporations (200+ agents / 4+ million calls per year)
Integrators & Contact Center Service Providers

If you represent a relevant business and would like to arrange a demonstration of our technology and learn how it can transform your customer care, fill out our form and we will get in contact with you to get the ball rolling.