Respeaking for Word-Spotting as a Collaborative Transcription Method for Oral Languages

Abstract

This thesis explores the use of respeaking and speech recognition to assist in documenting and transcribing oral and endangered languages.

Core Contribution

This thesis studies respeaking as a collaborative transcription method for oral languages. It explores how a speaker can repeat or reformulate audio in ways that make speech recognition and word-spotting tools more useful for transcription.

Research Use

The work is relevant for language documentation, endangered language technology, speech recognition workflows, and collaborative transcription methods where direct automatic recognition is difficult.