Enhancing the Usability of Real-Time Speech Recognition Captioning Through Personalised Displays and Real-Time Multiple Speaker Editing and Annotation

Text transcriptions of the spoken word can benefit deaf people and also anyone who needs to review what has been said (e.g. at lectures, presentations, meetings etc.) Real time captioning (i.e. creating a live verbatim transcript of what is being spoken) using phonetic keyboards can provide an accurate live transcription for deaf people but is often not available because of the cost and shortage of highly skilled and trained stenographers. This paper describes the development of a system that can provide an automatic text transcription of multiple speakers using speech recognition (SR), with the names of speakers identified in the transcription and corrections of SR errors made in real-time by a human ‘editor’.