Evan Roubert@evanroubert
1
Events attended
1
Submissions made
Armenia
5+ years of experience
About me
I'm an AI/ML engineer focused on speech AI and large language models for low-resource languages. I'm currently building a state-of-the-art Automatic Speech Recognition (ASR) system for Armenian, along with one of the largest open Armenian speech datasets available. My work covers the entire pipeline: large-scale data collection, dataset engineering, audio preprocessing, model training, fine-tuning, and inference optimization. I enjoy tackling problems where high-quality data and solid engineering can unlock AI capabilities for languages that have been largely overlooked. My goal is to help make Armenian one of the best-supported low-resource languages in open-source AI.
🤓 Latest Submissions
Armenian ASR: State-of-the-Art Speech Recognition
Armenian remains one of the most underserved languages in speech AI. While major languages benefit from massive datasets and highly optimized speech recognition models, Armenian still lacks high-quality open technologies that developers, researchers, and businesses can easily build upon. Our project aims to change that by developing a state-of-the-art Automatic Speech Recognition (ASR) system specifically for Armenian. The project is built on one of the largest gated Armenian speech datasets available, containing more than 8,000 hours of audio from diverse speakers and recording conditions. We are training and evaluating modern speech recognition models while optimizing every stage of the pipeline, including data preprocessing, audio normalization, fine-tuning, decoding, and inference. Beyond model quality, we focus on reproducibility and scalable engineering. Our training pipeline is designed to efficiently leverage modern GPU and TPU infrastructure, allowing us to experiment with different model architectures and optimization strategies. Our long-term vision is to make Armenian one of the best-supported low-resource languages in AI. By improving speech recognition quality and building reliable tooling around it, we hope to accelerate research, enable new AI-powered applications, and strengthen the Armenian AI ecosystem.
11 Jul 2026
