# Disfluencies and Human Speech Transcription Errors

## TL;DR

This paper investigates how disfluencies affect human transcription errors in spontaneous speech, providing an annotated corpus and analyzing the impact on automatic disfluency detection evaluation.

## Contribution

It introduces a new annotated version of the Switchboard corpus highlighting disfluencies and examines how transcription errors influence automatic disfluency detection performance.

## Key findings

- Annotated Switchboard corpus with disfluency labels
- Transcription errors significantly impact disfluency detection evaluation
- Insights into human perception of disfluencies

## Abstract

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.