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个人简介
Alexei V. Ivanov is an engineer and computer scientist. He received his PhD in Theoretical Foundations of Computer Science in 2004 from Belarussian State University of Informatics and Radioelectronics. He also holds a MSc degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology. He has working experience both in academia (University of Trento, Moscow Institute of Physics and Technology) and industry (Educational Testing Service (ETS); Pearson Knowledge Technologies; Speech Technology Center, Moscow; Lernout & Hauspie Speech Products NV, Belgium).
Alexei has broad experience in machine learning for speech and natural language processing systems. His current research interests include contextualized adaptive conversational machines; speech characterization technology; integration of para-linguistic knowledge into natural speech recognition and interpretation.
In 2011-12 he led a research group that won the Interspeech'2012 Para-linguistic Challenge in recognizing personality from speech. In 2013-15 he was involved in several projects concentrating on hardware acceleration. Specifically, that effort resulted in a 50+ times faster speech recognition decoding with SIMD devices. During his ETS time, he was in charge of construction of the on-line speech recognizer for interaction with remote non-native speakers of English. That system achieved parity with human transcription accuracy. Later at Knowles Alexei led the development of the extremely-small footprint (~3 Mb) HW accelerated unlimited vocabulary speech recognizer that consumes 75mW and achieves the state-of-the-art in transcription accuracy.
Alexei has broad experience in machine learning for speech and natural language processing systems. His current research interests include contextualized adaptive conversational machines; speech characterization technology; integration of para-linguistic knowledge into natural speech recognition and interpretation.
In 2011-12 he led a research group that won the Interspeech'2012 Para-linguistic Challenge in recognizing personality from speech. In 2013-15 he was involved in several projects concentrating on hardware acceleration. Specifically, that effort resulted in a 50+ times faster speech recognition decoding with SIMD devices. During his ETS time, he was in charge of construction of the on-line speech recognizer for interaction with remote non-native speakers of English. That system achieved parity with human transcription accuracy. Later at Knowles Alexei led the development of the extremely-small footprint (~3 Mb) HW accelerated unlimited vocabulary speech recognizer that consumes 75mW and achieves the state-of-the-art in transcription accuracy.
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