•  
  •  
 

University of Pennsylvania Working Papers in Linguistics

Abstract

As speech datasets used in sociolinguistic research increase in size, laborious and time-intensive manual orthographic transcription is a challenge, limiting the amount of (transcribed) data which can be analysed. In this paper, I discuss the use of (commercial) automatic speech recognition (ASR) as a tool in sociolinguistic research in the context of a case study: the Lothian Diary Project. I describe the kinds of errors produced by two commercial ASR systems for British English within the broader context of algorithmic bias in ASR, and suggest some best practices when working with ASR in sociolinguistic work.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.