Keep the noise down: On the performance of automatic speech recognition of voice-recordings in web surveys
Katharina Meitinger,
Sabien van der Sluis,
Matthias Schonlau
Abstract:Voice-recordings are increasingly implemented in web surveys, but the resulting audio data need to be transcribed before analysis. Since manual coding is too time- and work-intensive, researchers often rely on automatic speech recognition (ASR) systems for the transcription of the voice-recordings. However, ASR tools might create partly incorrect transcriptions and potentially change the content of responses. If the ASR performance (i.e., accuracy and validity) differs by subgroup and contextual factors, a bia… Show more
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