Your browser doesn't support javascript.
loading
Is automatic speech-to-text transcription ready for use in psychological experiments?
Ziman, Kirsten; Heusser, Andrew C; Fitzpatrick, Paxton C; Field, Campbell E; Manning, Jeremy R.
Afiliación
  • Ziman K; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, 03755, USA.
  • Heusser AC; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, 03755, USA.
  • Fitzpatrick PC; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, 03755, USA.
  • Field CE; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, 03755, USA.
  • Manning JR; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, 03755, USA. jeremy.r.manning@dartmouth.edu.
Behav Res Methods ; 50(6): 2597-2605, 2018 12.
Article en En | MEDLINE | ID: mdl-29687235
ABSTRACT
Verbal responses are a convenient and naturalistic way for participants to provide data in psychological experiments (Salzinger, The Journal of General Psychology, 61(1),65-941959). However, audio recordings of verbal responses typically require additional processing, such as transcribing the recordings into text, as compared with other behavioral response modalities (e.g., typed responses, button presses, etc.). Further, the transcription process is often tedious and time-intensive, requiring human listeners to manually examine each moment of recorded speech. Here we evaluate the performance of a state-of-the-art speech recognition algorithm (Halpern et al., 2016) in transcribing audio data into text during a list-learning experiment. We compare transcripts made by human annotators to the computer-generated transcripts. Both sets of transcripts matched to a high degree and exhibited similar statistical properties, in terms of the participants' recall performance and recall dynamics that the transcripts captured. This proof-of-concept study suggests that speech-to-text engines could provide a cheap, reliable, and rapid means of automatically transcribing speech data in psychological experiments. Further, our findings open the door for verbal response experiments that scale to thousands of participants (e.g., administered online), as well as a new generation of experiments that decode speech on the fly and adapt experimental parameters based on participants' prior responses.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Recuerdo Mental / Habla / Investigación Conductal / Software de Reconocimiento del Habla Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Recuerdo Mental / Habla / Investigación Conductal / Software de Reconocimiento del Habla Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Año: 2018 Tipo del documento: Article