ASRU 2021 kicks off this week in Cartagena, Colombia. AppTek scientists will be presenting papers surrounding the latest advancements in speech recognition technology including architectures and training for raw waveform feature extraction in ASR and the benefits of synthetic data for various ASR architectures.
Read MoreDr. Volker Steinbiss addresses and challenges popular narratives surrounding the role of artificial intelligence (AI) and machine learning (ML) technologies inside the audiovisual translation industry, including the role of machine translation (MT).
Read MoreDr. Evgeny Matusov, Apptek’s Lead Science Architect for MT, focuses on recent advances in MT technology and what translators in the creative industries can expect from it in the short term. Part 2 of a two-part interview.
Read MoreWith the use of machine translation now widespread in the localization industry and making headway in the creative industries as well, the question as to whether machines will eventually replace translators is one that has probably concerned every single translator at some point. Being a translator myself, this topic is very close to my heart, so I jumped at the opportunity to interview AppTek’s Lead Science Architect for MT, Dr. Evgeny Matusov, to find out more about the current state of MT, the exciting new developments underway and what he thinks about the future of translation and translators.
Read MoreAppTek.ai is a global leader in artificial intelligence (AI) and machine learning (ML) technologies for automatic speech recognition (ASR), neural machine translation (NMT), natural language processing/understanding (NLP/U), large language models (LLMs) and text-to-speech (TTS) technologies. The AppTek platform delivers industry-leading solutions for organizations across a breadth of global markets such as media and entertainment, call centers, government, enterprise business, and more. Built by scientists and research engineers who are recognized among the best in the world, AppTek’s solutions cover a wide array of languages/ dialects, channels, domains and demographics.