Bridging human and automatic speech recognition research
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, lately a growing interest in possible cross-fertilisation. Researchers from both ASR and HSR are realising the potential benefit of looking at the research field on the other side of the ‘gap’. In this talk, I will start with an explanation and comparison of the processes underlying spoken-word recognition in humans and machines, and the similarities and differences between the two research fields. The second part of the lecture will consist of an overview of past and present efforts to link human and automatic speech recognition research, focussing on the mutual benefits to be derived from establishing closer collaborations and knowledge interchange between ASR and HSR.
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Lexical access in spoken word recognition and word production
Suzanne Jongman, Max Planck institute for Psycholinguistics Nijmegen
In this introduction to Psycholinguistics I will focus on lexical activation and lexical selection, the processes of activating and selecting the intended representations of words in the mental lexicon. We will discuss some prominent models that have been developed for word recognition on the one hand and word production on the other hand. Although recognition and production have largely been studied separately, the same questions have been asked. Three main questions that we will focus on are 1) whether multiple representations are activated in the mental lexicon, 2) how a word representation is selected and 3) to what extent these activation and selection processes are automatic.