Omilia Blog

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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