AppTeks Dr. Hermann Ney Wins Prestigious IEEE 2019 James L. Flanagan Speech and Audio Processing Award

the leading speech recognition and machine translation provider, today
announced that Director of Science Dr. Hermann Ney is the recipient of
the distinguished 2019 James L. Flanagan Speech and Audio Processing
Award. Presented by the Institute
of Electrical and Electronics Engineers (IEEE), the world’s largest
technical professional society, this award recognizes Dr. Ney for his
pioneering contributions to statistical and computational modeling in
automated speech recognition (ASR) and machine translation (MT).

The award, established in 2002, is presented annually to an individual
or team who has made an outstanding contribution to the advancement of
speech and/or audio signal processing. In being selected, Dr. Ney joins
an elite group of scientists from some of the world’s leading research
institutions, such as James
Baker of Carnegie Mellon University; Janet
Baker from the Saras Institute; Victor Zue from the Massachusetts
Institute of Technology; Sadaoki Furui of the Tokyo Institute of
Technology; and other previous
award winners.

Dr. Ney’s work is applied to developing AppTek’s highly advanced ASR and
MT technology, and the company’s proprietary machine learning code,
which rivals brands such as IBM Watson and Google. He is also known for
his team’s contributions to the GIZA++ and Moses open source statistical
machine translation platforms, which are extensively used by the speech
technology market to develop new products. His visionary contributions
are the driving force behind AppTek’s rich tools that many other leading
speech technology providers adopt in their ASR and MT offerings.

“I am grateful and humbled to be included among such eminent peers who
have received this honor,” Dr. Ney said. “Speech and language
technologies have tremendous potential to transform myriad aspects of
daily life, and to provide unprecedented advances in applications such
as telephony, healthcare, transportation, education and more. We are
proud that AppTek has created tools used extensively by the market to
realize the benefits that ASR and MT deliver.”

Dr. Ney is a professor of computer science at RWTH Aachen University,
the largest technical research university in Germany. His interests lie
in statistical methods for pattern recognition and human language
technology and their specific applications to speech recognition,
machine translation and image object recognition. Over fifty of his
former students have gone on to lead ASR and MT product development for
industry leaders; those include Hassan Sawaf who leads Amazon Web
Services AI, Frantz Och who started and led Google’s
Translate and is now with Facebook,
and other leading scientists at Amazon, Apple, eBay and Nuance,
testifying to his unprecedented sphere of influence on the integral role
that speech and language technologies play in modern life. He notes that
“It is particularly rewarding to teach so many bright minds who have
gone on to apply this complex technology in such beneficial ways.”

In particular, Dr. Ney has worked on dynamic programming and
discriminative training for speech recognition, on language modeling and
on data-driven approaches to machine translation. His work has resulted
in more than 700 conference and journal papers; he is one of the most
cited machine translation scientists in Google Scholar. In 2005, Dr. Ney
was the recipient of the Technical Achievement Award of the IEEE Signal
Processing Society; in 2010, he was awarded a senior DIGITEO chair at
LIMIS/CNRS in Paris, France; and in 2013, he received the award of honor
of the International Association for Machine Translation. Dr. Ney is a
fellow of both the IEEE and of the International Speech Communication

About AppTek

As a pioneer in automatic speech recognition and machine translation,
machine learning and artificial intelligence; AppTek partners with its
customers to provide solutions focused on closed captioning and
subtitling, call center content discovery and mobile intelligent voice
agents. In today’s hyper-connected and data-rich marketplace,
enterprises are seeking to drive revenue, save costs and increase
productivity. Customers rely on AppTek to solve for these issues by
delivering the market’s robust speech technology solutions focused on
mining for business insights, ensuring compliance and delivering value
across the enterprise. For more information, visit

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