Editing speech data is currently time-consuming and errorprone. Speech editors rely on acoustic waveform representations, which force users to repeatedly sample the underlying spe...
Abstract. We report on the design of a system for correcting spelling errors resulting in non-existent words. The system aims at improving edition of medical reports. Unlike tradit...
We present a simple architecture for parsing transcribed speech in which an edited-word detector first removes such words from the sentence string, and then a standard statistical...
Speech recognition technology suffers from a lack of robustness which limits its usability for fully automated speech-to-text transcription, and manual correction is generally req...
This demonstration shows how semantic schema matching technology is being incorporated into the BEA AquaLogic Data Services Platform. Specifically, it demonstrates how the manuall...
Michael J. Carey, Shahram Ghandeharizadeh, K. Meht...