BRNO, CZ, August 31, 2021 - AppTek's Director of Science, Prof. Dr.-Ing. Hermann Ney, was awarded the ISCA Medal for Scientific Achievement today at the opening ceremony of this year’s INTERSPEECH conference in Brno, Czech Republic, where he opened the conference with a keynote address.
INTERSPEECH is the world’s largest and most comprehensive conference on the science and technology of spoken language processing. It is hosted annually by the International Speech Communication Association (ISCA), a non-profit organization that promotes, in an international context, activities and exchanges in the fields related to speech communication science and technology, and is attended by the world’s leading scientists. The conference showcases the latest scientific breakthroughs in speech recognition and advancements in its industrial applications, which include six papers presented by Prof. Ney’s science team at AppTek.
Prof. Ney has devoted his life to pioneering data-driven methods applied to human language technologies. His work in statistical classification, machine learning and neural networks has resulted in operational research prototypes and commercial systems in speech recognition, handwriting recognition, machine translation and other tasks in natural language processing. As a result of his research, Philips introduced an innovative product for large vocabulary continuous speech recognition as early as 1993, and in 1997 a spoken dialogue system for telephone applications. Later in the Verbmobil project, his team introduced the phrase-based approach for data-driven machine translation which was eventually used as the basis for the Google Translate service, while in the TC-STAR project his team built the first research prototype for spoken language translation in real-life domains.
Prof. Ney has led teams in many large-scale European and American projects (GALE, BOLT, TC-STAR and Quaero, among many others), resulting in 700+ conference and journal papers, with an h index of 100+ and over 60,000 citations according to Google Scholar. Over 50 of his former PhD students currently work in speech and language technology, including 32 PhDs today at AppTek, as well as other large companies such as Amazon, Apple, Google, IBM, Lilt and Nuance.
AppTek provides an artificial intelligence and machine learning-based automatic speech recognition, machine translation and natural language understanding platform for organizations in a variety of markets, such as media and entertainment, call centers, government, enterprise business and others across the globe. Available via the cloud or on-premise, AppTek delivers the highest quality real-time streaming and batch speech technology solutions in the industry. Featuring scientists and research engineers who are recognized amongst the best and most experienced in the world, the company’s solutions cover a wide array of languages, dialects, and channels.