{"title":"多模态计算机辅助语音转录","authors":"Luis Rodríguez, I. García-Varea, E. Vidal","doi":"10.1145/1891903.1891943","DOIUrl":null,"url":null,"abstract":"Speech recognition systems are not typically able to produce error-free results in real scenarios. On account of this, human intervention is usually needed. This intervention can be included into the system by following the Computer Assisted Speech Transcription (CAST) approach, where the user constantly interacts with the system during the transcription process. In order to improve this user interaction, a speech multi-modal interface is proposed here. In addition, the user of word graphs within CAST aimed at facilitating the design of such interface as well as improving the system response time is also discussed","PeriodicalId":181145,"journal":{"name":"ICMI-MLMI '10","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Multi-modal computer assisted speech transcription\",\"authors\":\"Luis Rodríguez, I. García-Varea, E. Vidal\",\"doi\":\"10.1145/1891903.1891943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Speech recognition systems are not typically able to produce error-free results in real scenarios. On account of this, human intervention is usually needed. This intervention can be included into the system by following the Computer Assisted Speech Transcription (CAST) approach, where the user constantly interacts with the system during the transcription process. In order to improve this user interaction, a speech multi-modal interface is proposed here. In addition, the user of word graphs within CAST aimed at facilitating the design of such interface as well as improving the system response time is also discussed\",\"PeriodicalId\":181145,\"journal\":{\"name\":\"ICMI-MLMI '10\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICMI-MLMI '10\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1891903.1891943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICMI-MLMI '10","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1891903.1891943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Speech recognition systems are not typically able to produce error-free results in real scenarios. On account of this, human intervention is usually needed. This intervention can be included into the system by following the Computer Assisted Speech Transcription (CAST) approach, where the user constantly interacts with the system during the transcription process. In order to improve this user interaction, a speech multi-modal interface is proposed here. In addition, the user of word graphs within CAST aimed at facilitating the design of such interface as well as improving the system response time is also discussed