From Research to Reality: Evaluation of a Single-Computer Real-Time LVCSR System for Speech-Based Retrieval

This paper presents a series of tests that were performed on a state-of-the-art real-time automatic speech recognition system for English, in a single-computer implementation. As the intention is to use the system for speech-based query-free document retrieval in conversations, several parameters were varied: text type, microphone quality, computing power, speaker fluency, and pace of the speech. Word accuracy over various word counts, including a restriction to content words, varied in the 30%-70% range. The paper compares results over many conditions, and concludes that the ASR system is acceptable for the intended use only if all the parameters are in optimal conditions. If more than two parameters are suboptimal, then its output becomes too noisy for document retrieval.


Year:
2017
Publisher:
Idiap
Laboratories:




 Record created 2017-03-19, last modified 2018-10-01

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