π aiOla Research
At aiOla Research, weβre shaping the future of speech and voice AI, making advanced language technologies accessible and impactful for enterprise workflows.
Our work is rooted in deep research and driven by real-world needs, combining academic rigor with a focus on practical outcomes.
π― Our Mission
To develop robust, efficient, and adaptable AI systems that understand, generate, and interact with human speech in complex, real-world settings.
π¬ Research Focus Areas
Our research spans multiple areas at the intersection of voice and enterprise:
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Automatic Speech Recognition (ASR)
Developing models like Jargonic that deliver 95%+ accuracy across accents, noise conditions, and domain-specific jargon. -
Text-to-Speech (TTS)
Generating lifelike, multilingual, and customizable voices for expressive and context-aware speech synthesis. -
Speech-to-Workflow Automation
Turning voice into structured actions and data β enabling compliance, speed, and insight in industries like automotive, aviation, food & CPG, and pharma.
π§ͺ Featured Projects
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Jargonic ASR
An enterprise-grade speech recognition model tailored for real-world jargon, noisy environments, and multilingual support. -
Multi-head Efficient Decoding for Transformer-based ASR
A multi-head decoding approach for efficient transformer-based ASR β increasing speed and robustness. -
Keyword-guided Adaptation of Autumatic Speech Recognition
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Open Vocabulary Keyword Spotting
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WhisperNER
A unified framework that combines speech recognition with real-time named entity recognition for enriched voice understanding.
π Explore More
π Visit our research homepage
π Learn more about aiOlaβs products
π Contact us via our website
Advancing speech intelligence from research to real-world impact.