Conversational Speech Recognition Task
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A Conversational Speech Recognition Task is a speech recognition task whose input is conversational speech.
- Context:
- It can range from being a Manual Conversational Speech Recognition Task to being a Automatic Conversational Speech Recognition Task.
- It can support a Conversational Speech Understanding Task.
- …
- Example(s):
- Counter-Example(s):
- See: Computer Speech Recognition.
References
2016
- (Xiong et al., 2016) ⇒ Wayne Xiong, Jasha Droppo, Xuedong Huang, Frank Seide, Mike Seltzer, Andreas Stolcke, Dong Yu, and Geoffrey Zweig. (2016). “Achieving Human Parity in Conversational Speech Recognition.” In: arXiv Journal, 1610.05256.
- QUOTE: Conversational speech recognition has served as a flagship speech recognition task since the release of the DARPA Switchboard corpus in the 1990s. In this paper, we measure the human error rate on the widely used NIST 2000 test set, and find that our latest automated system has reached human parity. The error rate of professional transcriptionists is 5.9% for the Switchboard portion of the data, in which newly acquainted pairs of people discuss an assigned topic, and 11.3% for the CallHome portion where friends and family members have open-ended conversations. In both cases, our automated system establishes a new state-of-the-art, and edges past the human benchmark. This marks the first time that human parity has been reported for conversational speech. …