Survey Talk: Reaching Over the Gap: Cross- and Interdisciplinary Research on Human and Automatic Speech Processing

Odette Scharenborg


The fields of human speech recognition (HSR) and automatic speech recognition (ASR) both investigate parts of the speech recognition process and have word recognition as their central issue. Although the research fields appear closely related, their aims and research methods are quite different. Despite these differences there is, however, in the past two decades a growing interest in possible cross-fertilization. Researchers from both ASR and HSR are realizing the potential benefit of looking at the research field on the other side of the ‘gap’. In this survey talk, I will provide an overview of past and present efforts to link human and automatic speech recognition research and present an overview of the literature describing the performance difference between machines and human listeners. The focus of the talk is on the mutual benefits to be derived from establishing closer collaborations and knowledge interchange between ASR and HSR.


Cite as: Scharenborg, O. (2019) Survey Talk: Reaching Over the Gap: Cross- and Interdisciplinary Research on Human and Automatic Speech Processing. Proc. Interspeech 2019.


@inproceedings{Scharenborg2019,
  author={Odette Scharenborg},
  title={{Survey Talk: Reaching Over the Gap: Cross- and Interdisciplinary Research on Human and Automatic Speech Processing}},
  year=2019,
  booktitle={Proc. Interspeech 2019}
}