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New York, United States
For more than 35 years, we’ve worked to keep the world safe and secure from financial crime. We do it by helping our partners manage risk through screening, monitoring, analysis, and reporting, plus state-of-the-art consultancy and customer support.As specialists in end-to-end payment systems, we turn payment challenges into opportunities, helping financial Institutions operate more efficiently and cost-effectively. That includes more than 270 corporate and financial institutions that rely on us for outsourced SWIFT connectivity and compliance software solutions. The Jordan-based Rehabilitation & Welfare Society (Rewell), is a charity focused on eradicating poverty through skill and knowledge acquisition programs. We’re proud to support their work through our CSR program.
AI-Powered Solutions for Financial Institutions | Eastnets
... Deep Clustering ...
McLean, United States
AppTek develops engines and solutions for cross lingual communication. Apptek is a leader in automatic speech recognition (ASR), neural machine translation (MT), machine learning (ML), natural language understanding (NLU) and artificial intelligence (AI). Founded in 1990, AppTek employs one of the most agile, talented teams of ASR, MT, and NLU PhD scientists and research engineers in the world. Through our advanced research in speech recognition, machine translation and artificial intelligence, we have solved many challenging problems improving human-quality transcription, language understanding and translation accuracy. Our people are among the language technology and machine learning industry’s premier experts. Our long-standing affiliations with the world’s leading human language technology universities is central to our continuous introduction of new theories and solutions for automating recognition, translation and communication. The proposed pipeline is able to train transducer models approaching state-of-the-art performance with a single GPU in just 2-3 weeks. We also show that joint training of scales and model parameters is possible and gives additional 6% improvement onLBS.
AppTek Company Overview | About AppTek
... Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping ...
Deep Clustering is a form of unsupervised learning which uses deep neural networks to organize data into clusters. It works by learning an embedding of the data that preserves the underlying structure of the data, then using this embedding to assign each data point to a cluster. Deep Clustering can be used to discover data structures that are not obvious at first, such as clusters of similar objects or patterns of behavior.