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     "Efficient Ensemble of Deep Neural Networks for Multimodal Punctuation Restoration and the Spontaneous Informal Speech Dataset,"  Electronics Vol. 14, No. 5, 973, Feb. 2025
                      
                    
 
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                        Tech. Report RTI-20240822-01: "MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing"
                      
                    
 
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     Recognition Technologies, Inc. June 13, 2024 Westchester County’s Tech Accelerator Demo Day
                      
                    
 
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                        Tech. Report RTI-20240524-01: "Carnatic Raga Identification System using Rigorous Time-Delay Neural Network"
                      
                    
 
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                        IEEE IMCOM (2024): Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network
                      
                    
 
                                   
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        RecoMadeEasy®Products
       
      
  A single comprehensive software engine for enabling Speech, Speaker, Face, Object, Emotion Recognition, Translation, Access Controls, and much more, using a unified set of APIs designed for Integrators and Software Developers -- works standalone (Android and Linux) and in client/server mode
      
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      - 
          AudioVisual Recognition
  (Embedded)  
  (Server Based)
 
          (Combination of Speaker, Speech, Face Recognition, and Object Detection and Recognition with a single interface) 
                  
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          Large-Vocabulary Speech Recognition
  (Embedded)  
  (Server Based)
 
Initially available for English, Spanish, Mandarin, Arabic, and German, is now available for 100+ languages 
          Also includes multilinguagl support and code-switching 
          (Customizable domain full transcription ~ 300,000+ word vocabulary) 
                  
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          Speaker Recognition
  (Embedded)
  (Server Based)
 
          (Language- and Text-Independent, aka: Speaker Biometrics, Voice Biometrics, or SIV) 
          Recipient: Frost & Sullivan Award 2011 
                  
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          Face Recognition
  (Embedded)  
  (Server Based)
 
          (Face detection and recognition) 
                  
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          Object Recognition
  (Embedded)  
  (Server Based)
 
          (Object detection and recognition) 
                 
     
   
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