This paper was accepted in the Industry Track at SIGIR 2024.
Virtual Assistants (VAs) are important Information Retrieval platforms that help users accomplish various tasks through spoken commands. The speech recognition system (speech-to-text) uses query priors, trained solely on text, to distinguish between phonetically confusing alternatives. Hence, the generation of synthetic queries that are similar to existing VA usage can greatly improve upon the VA’s abilities-especially for use-cases that do not (yet) occur in paired audio/text data.
In this paper, we provide a preliminary exploration…
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