AppTek’s Director of Science, Prof. Dr. -Ing. Hermann Ney, will be retiring from his position as Professor of RWTH University where he headed the Human Language Technology and Pattern Recognition group, and we invite everyone to attend his retirement ceremony.
Read MoreBias in speech recognition is an ongoing problem AppTek has developed a specific methodology that focuses on the ABCD’s of HLT, AI Bias-Correction Datasets, to offer more responsible, diverse and inclusive AI models to ensure every voice across the world can be heard.
Read MoreAppTek unveiled details of its new automatic video dubbing pipeline at the 23rd Annual Conference of the European Association for Machine Translation (EAMT 2022).
Read MoreAppTek is pleased to announce the latest June 2022 updates to its MT platform now available in the model repository.
Read MoreThe AppTek Science team is proud to announce that four papers have been accepted at the 23rd INTERSPEECH Conference. INTERSPEECH is the world’s largest and most comprehensive conference on the science and technology of spoken language processing. The INTERSPEECH conferences emphasize interdisciplinary approaches addressing all aspects of speech science and technology, ranging from basic theory to advanced applications.
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.