AURA: Agent for Understanding, Reasoning, and Automated Tool Use in Voice-Driven Tasks

Fuente: arXiv
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Main Authors: Maben, Leander Melroy, Lakshmy, Gayathri Ganesh, Radhakrishnan, Srijith, Arora, Siddhant, Watanabe, Shinji
Format: Preprint
Published: 2025
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author Maben, Leander Melroy
Lakshmy, Gayathri Ganesh
Radhakrishnan, Srijith
Arora, Siddhant
Watanabe, Shinji
author_facet Maben, Leander Melroy
Lakshmy, Gayathri Ganesh
Radhakrishnan, Srijith
Arora, Siddhant
Watanabe, Shinji
contents Despite advances in language and speech technologies, no open-source system enables full speech-to-speech, multi-turn dialogue with integrated tool use and agentic reasoning. We introduce AURA (Agent for Understanding, Reasoning, and Automated Tool Use), the first open-source, speech-native assistant capable of completing complex, goal-driven tasks through dynamic tool invocation and multi-turn conversation. AURA combines open-weight ASR, TTS, and LLMs in a cascaded pipeline and supports tools such as calendar booking, contact lookup, web search, and email. Its modular design allows easy integration of new tools using natural language prompts and action classes. On VoiceBench, AURA scores 92.75% on OpenBookQA-outperforming all open-weight systems and nearing GPT-4o-and 4.39 on AlpacaEval, competitive with other open-weight systems. Human evaluation shows 90% task success on complex, multi-turn speech tasks.
format Preprint
id arxiv_https___arxiv_org_abs_2506_23049
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle AURA: Agent for Understanding, Reasoning, and Automated Tool Use in Voice-Driven Tasks
Maben, Leander Melroy
Lakshmy, Gayathri Ganesh
Radhakrishnan, Srijith
Arora, Siddhant
Watanabe, Shinji
Artificial Intelligence
Computation and Language
Sound
Audio and Speech Processing
68T42, 68T50,
I.2.7; I.2.11; H.5.5
Despite advances in language and speech technologies, no open-source system enables full speech-to-speech, multi-turn dialogue with integrated tool use and agentic reasoning. We introduce AURA (Agent for Understanding, Reasoning, and Automated Tool Use), the first open-source, speech-native assistant capable of completing complex, goal-driven tasks through dynamic tool invocation and multi-turn conversation. AURA combines open-weight ASR, TTS, and LLMs in a cascaded pipeline and supports tools such as calendar booking, contact lookup, web search, and email. Its modular design allows easy integration of new tools using natural language prompts and action classes. On VoiceBench, AURA scores 92.75% on OpenBookQA-outperforming all open-weight systems and nearing GPT-4o-and 4.39 on AlpacaEval, competitive with other open-weight systems. Human evaluation shows 90% task success on complex, multi-turn speech tasks.
title AURA: Agent for Understanding, Reasoning, and Automated Tool Use in Voice-Driven Tasks
topic Artificial Intelligence
Computation and Language
Sound
Audio and Speech Processing
68T42, 68T50,
I.2.7; I.2.11; H.5.5
url https://arxiv.org/abs/2506.23049