StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data
StocksTalk is a voice-enabled conversational system that can turn spoken financial requests into executable queries over real-world market data. It combines speech recognition with natural language processing and machine learning to generate valid SQL queries. The system exposes intermediate reasoning artifacts, allowing users to inspect and refine each stage before execution. Experimental results show improved accuracy and stability compared to baseline approaches.
StocksTalk is a voice-enabled conversational system that can turn spoken financial requests into executable queries over real-world market data. It combines speech recognition with natural language processing and machine learning to generate valid SQL queries. The system exposes intermediate reasoning artifacts, allowing users to inspect and refine each stage before execution. Experimental results show improved accuracy and stability compared to baseline approaches.
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Why it matters: This matters because it demonstrates a more transparent and effective way for investors to interact with financial data using voice commands, potentially improving decision-making processes.
Source: https://arxiv.org/abs/2608.18105
This article was originally published at: https://arxiv.org/abs/2608.18105