Disfluencies and Human Speech Transcription Errors
This work addresses transcription accuracy issues for researchers in speech processing, but it is incremental as it builds on existing datasets and methods.
The paper investigates contexts linked to errors in transcribing spontaneous speech, providing insights into human perception of disfluencies and conversational phenomena, and introduces a new Switchboard corpus version with disfluency annotations, showing that transcription errors affect automatic disfluency detection evaluation.
This paper explores contexts associated with errors in transcrip-tion of spontaneous speech, shedding light on human perceptionof disfluencies and other conversational speech phenomena. Anew version of the Switchboard corpus is provided with disfluency annotations for careful speech transcripts, together with results showing the impact of transcription errors on evaluation of automatic disfluency detection.