The AppTek Science Team will be presenting the following scientific papers this week (October 25-29 2020) at the INTERSPEECH 2020 virtual conference. Dates and times as follows:
Wei Zhou(RWTH Aachen University), Ralf Schlüter(Lehrstuhl Informatik 6, RWTH Aachen University) and Hermann Ney(RWTH Aachen University)
Speaker: Wei Zhou
Presentation Session and Time : Search for speech recognition[Tue-1-8], Tue-1-8-1 (GMT +8)
https://interspeech2020.baai.ac.cn/poster/1958
Albert Zeyer(Human Language Technology and Pattern Recognition Group (Chair of Computer Science 6), Computer Science Department, RWTH Aachen University), André Merboldt(RWTH Aachen University), Ralf Schlüter (Lehrstuhl Informatik 6, RWTH Aachen University) and Hermann Ney(RWTH Aachen University)
Speaker: Albert Zeyer
Presentation Session and Time : Training strategies for ASR[Wed-2-8], Wed-2-8-6 (GMT +8)
https://interspeech2020.baai.ac.cn/poster/1855
Wilfried Michel(RWTH Aachen University), Ralf Schlüter(RWTH Aachen University) and Hermann Ney(RWTH Aachen University)
Speaker: Wilfried Michel
Presentation Session and Time : ASR neural network architectures and training II[Thu-1-2], Thu-1-2-6 (GMT +8)
https://interspeech2020.baai.ac.cn/poster/2675
Jingjing Huo(RWTH Aachen University), Yingbo Gao(RWTH Aachen University), Weiyue Wang(RWTH Aachen University), Ralf Schlüter(Lehrstuhl Informatik 6, RWTH Aachen University) and Hermann Ney(RWTH Aachen University)
Speaker: Jingjing Huo
Presentation Session and Time : Neural networks for language modeling[Thu-1-3], Thu-1-3-5 (GMT +8)
https://interspeech2020.baai.ac.cn/poster/1849
AppTek.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.