5 citations · 10 across the 7 of their papers we have counts for
7 papers
VoiceGRPO: Modern MoE Transformers with Group Relative Policy Optimization GRPO for AI Voice Health Care Applications on Voice Pathology Detection
Enkhtogtokh Togootogtokh, Christian Klasen
This research introduces a novel AI techniques as Mixture-of-Experts Transformers with Group Relative Policy Optimization (GRPO) for voice health care applications on voice patholo…
Real-Time Moving Flock Detection in Pedestrian Trajectories Using Sequential Deep Learning Models
Amartaivan Sanjjamts, Hiroshi Morita, Togootogtokh Enkhtogtokh
Understanding collective pedestrian movement is crucial for applications in crowd management, autonomous navigation, and human-robot interaction. This paper investigates the use of…
AntiDeepFake: AI for Deep Fake Speech Recognition
Enkhtogtokh Togootogtokh, Christian Klasen
In this research study, we propose a modern artificial intelligence (AI) approach to recognize deepfake voice, also known as generative AI cloned synthetic voice. Our proposed AI t…
DeepEMO: Deep Learning for Speech Emotion Recognition
Enkhtogtokh Togootogtokh, Christian Klasen
We proposed the industry level deep learning approach for speech emotion recognition task. In industry, carefully proposed deep transfer learning technology shows real results due…
LAIF: AI, Deep Learning for Germany Suetterlin Letter Recognition and Generation
Enkhtogtokh Togootogtokh, Christian Klasen
One of the successful early implementation of deep learning AI technology was on letter recognition. With the recent breakthrough of artificial intelligence (AI) brings more solid…
An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks
Enkhtogtokh Togootogtokh, Christian Micheloni, Gian Luca Foresti +1
Modern Unmanned Aerial Vehicles equipped with state of the art artificial intelligence (AI) technologies are opening to a wide plethora of novel and interesting applications. While…
Deep Learning Approach for Very Similar Objects Recognition Application on Chihuahua and Muffin Problem
Enkhtogtokh Togootogtokh, Amarzaya Amartuvshin
We address the problem to tackle the very similar objects like Chihuahua or muffin problem to recognize at least in human vision level. Our regular deep structured machine learning…