Eminent research scientist Dr Zoltán Tüske to join AppTek and drive new innovations in automatic speech recognition

McLEAN, Virginia., August 3, 2021 / PRNewswire / – AppTek, A Leader in Artificial Intelligence (AI), Machine Learning (ML), Machine Speech Recognition (ASR), Neural Machine Translation (NMT), Synthesis Voice (TTS) and Natural Language Processing / Understanding (NLP / U), today announced the appointment of Dr. Zoltán Tüske as Senior Scientist for the Company’s ASR Technologies. In this role, Dr. Tüske will seek to further advance the performance of large vocabulary continuous speech recognition systems essential to the next generation of speech-activated AI technologies.

“Our mission is to advance the science behind automatic speech recognition and provide the most accurate solution in the field,” said AppTek’s chief speech scientist. Eugene Beck. “Zoltán is one of the great minds of this industry and we are delighted to have him on the team to collaborate on new and innovative ways to advance science even further.”

Dr Tüske brings over 15 years of experience in speech recognition technologies, with a focus on neural networks, signal processing, feature extraction, acoustic modeling, multilingual modeling and linguistic modeling. . Prior to joining AppTek, Tüske was a researcher in IBM’s AI Speech Technologies research group. Dr Tüske has an h index of 20+ with over 1,300 citations in Google Scholar, holds 4 patents and received the ISCA award for best student paper at Interspeech 2014. He holds a PhD in Computer Science from Technology Group of Human Language and Pattern Recognition from RWTH Aachen University, and a M. Sc. in Electrical Engineering from Budapest University of Technology and Economics.

“I am delighted to have Zoltán on board,” said Mudar Yaghi, CEO of AppTek. “We are very fortunate to attract another Speech Specialist and further strengthen our commitment to providing cutting-edge advances in Automatic Speech Recognition, Neural Machine Translation, Text-to-Speech, Natural Language Understanding and Conversational AI. a testament to the team and the culture here to attract talent of Zoltán’s caliber. ”

Dr. Tüske’s recent work focuses on finding “end-to-end” speech recognition models that map a sequence of acoustic features to a sequence of words for large vocabulary continuous speech recognition tasks such as speech analysis. conversational telephony. Although it is widely accepted that such sequence-to-sequence recognition models are only competitive with traditional hybrid statistical ASR models when a large amount of training data is used, Dr. Tüske’s team was able to demonstrate peak performance. on a small amount of training data using an attention-based encoder-decoder sequence-sequence model, as outlined in the scientific article “Single-head attention-based sequence-sequence model for top results on Switchboard. “

“I am looking forward to joining AppTek and its talented team of scientists,” said Dr Tüske. “I look forward to working closely with the team to further advance the state of the art in speech recognition performance. “

For more information, visit https://www.apptek.com.

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). The AppTek platform provides industry-leading real-time streaming and batch processing technology in the cloud or on-premises for organizations in a wide range of global markets such as media and entertainment, call centers , government, business, etc. Built by recognized scientists and research engineers among the best in the world, AppTek’s solutions cover a wide range of languages, dialects and channels. For more information, please visit https://www.apptek.com.

Media contact:
Kyle Maddock
202-413-8654

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SOURCE AppTek

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Gail Mena

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