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June 16, 2021

AppTek makes a strong presence at Interspeech 2021

AppTek’s scientists will present six papers on the latest advances in speech processing, while the company’s Director of Science will be opening the conference

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May 20, 2021

AppTek at IEEE ICASSP 2021

The AppTek Science Team, including Wei Zhou and Simon Berger, will be presenting its latest paper "Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition" at the IEEE ICASSP 2021 virtual conference held the week of June 6th-11th.

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October 25, 2020

AppTek - INTERSPEECH 2020

The AppTek Science Team will be presenting four scientific papers at the Interspeech 2020 virtual conference.

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August 19, 2020

David Hasselhoff congratulates AppTek's Science Team

David Hasselhoff congratulates AppTek's Pavel Golik, Tamer Alkhouli, and Jan-Thorsten Peter for the completion of their PhD degrees as well as the AppTek Science Team for their groundbreaking work in artificial intelligence.

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August 1, 2020

As Speech Translation Advances, Barriers Continue to Fall - SpeechTek Magazine

Speech translation was already a rapidly growing market, thanks to evolving technologies, growing international travel, and business globalization. The COVID-19 pandemic slowed international travelers’ need for translation capabilities, but that need is expected to rebound as the world re-emerges from the pandemic.

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AI and ML Technologies to Bridge the Language Gap
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ABOUT APPTEK

AppTek 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) 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.

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