原文传递
Inverse Text Normalization of Air Traffic Control System Command Center Planning Telecon Transcriptions.
| 题名： | Inverse Text Normalization of Air Traffic Control System Command Center Planning Telecon Transcriptions. |
| 作者： | Guo, K; Clarke, S. S. B; Kalyanam, K. M. |
| 摘要： | We present a hybrid neural network and rule-based Inverse Text Normalization (ITN) method for domains containing unique technical phraseology, specifically ATCSCC planning telecon audio transcriptions. The Air Traffic Control System Command Center (ATCSCC) hosts bihourly planning telephone conferences (or planning telecons) to ensure smooth operations within the National Airspace(NAS).Accesstobothliveandpostmeetingtranscriptsofthisspeech audio would enable quick review of meetings. ITN is the process of converting un-formatted “raw” speech-to-text transcripts into a human (expert) readable written form. Our hybrid ITN framework utilizes a neural network to format conversational English, and rule-based methods to format domain-specific aviation text. With a preliminary overall Word Error Rate with Punctuation and Capitalization (WER PC) of 8.26, we show that this method has vast potential in being applied to ATCSCC planning telecon audio and other audio/text based data available in ATM. |
| 总页数： | 9 pages |
相关文献
- Report on Current Convective Weather Processes and Product Requirements at the Air Traffic Control System Command Center (ATCSCC) and Kansas City Air Route Traffic Control Center (ARTCC)
- Aviation Command and Control: MACCS Transformation
- ROLES AND RESPONSIBILITIES IN WEATHER DECISION MAKING: FAA COMMAND CENTER.
- CSX Train Derailment with Hazardous Materials Release Hyndman, Pennsylvania August 2, 2017. Railroad Accident Report.
- Airspace Control
- The Controller Memory Guide. Concepts from the Field.
检索历史
应用推荐
