LUMO (Lightweight Unified Multilingual Orchestrator): A Privacy Preserving Offline Voice Assistant

arXiv:2609.30692 · cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Comments: 6 pages, 8 figures, 9 tables. Conference version prepared for IEEE 3rd International Conference on Computing, Applications and Systems (COMPAS 2026), 9-10 October 2026, University of Dhaka, Bangladesh

Code: https://github.com/mehedinaeem/lumo-speech-dataset

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Quantization — 10× in this paper · explained in 12 episodes
• Edge AI — 6× in this paper · explained in 2 episodes
• Voice Activity Detection — 5× in this paper
• Edge Deployment — 4× in this paper · explained in 2 episodes
• Large Language Model — 4× in this paper
• Lightweight Unified Multilingual Orchestrator — 4× in this paper
• Word Error Rate — 4× in this paper
• Benchmark — 3× in this paper · explained in 2 episodes
• Edge Devices — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Robustness — 2× in this paper · explained in 5 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• LLM Integration — 1× in this paper · explained in 2 episodes

Sources

• LLaMA: Open and Efficient Foundation Language Models
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• TinyLlama: An Open-Source Small Language Model
• GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
• LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi
• Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks