Though probably not the most common way of using language, picture naming is popular in language production research because it offers good control of the content of the speakers’ utterances and captures a central component of speech planning, namely the retrieval of words from the mental lexicon. In many language production studies participants have been asked to name or describe pictures of one or more objects. Speech-to-Gaze Alignment in Descriptive Utterances
In the next sections, we motivate this approach, discuss related studies, and explain the predictions for the experiments. Throughout the experiments, the speakers’ eye movements were recorded along with their spoken utterances. In the second experiment, they had to maintain a fixed moderate or faster speech rate, which allowed us to separate the effects of speech rate and practice.
In the first experiment, the speakers were asked to name the pictures as fast as they could. Each set was shown on several successive trials. To begin to explore this issue we used a simple speech production task: speakers named sets of pictures in sequences of nouns (e.g., “kite, doll, tap, sock, whale, globe”). It is evident that speakers can control their speech rate, yet little is known about how they do this.
The present paper concerns one important feature distinguishing different speech styles, i.e., speech rate. The psychological processes underlying the implementation of different speech styles have rarely been studied. We can, for instance, use a special register, child directed speech, to talk to a child, and we tend to deliver speeches, and formal lectures in a style that is different from casual dinner table conversations. The results indicate that shifts of eye gaze are often linked to the completion of phonological encoding, but that speakers can deviate from this default coordination of eye gaze and speech, for instance when the descriptive task is easy and they aim to speak fast. Consistent word length effects on the durations of the gazes to the objects and the eye-speech lags were only found in Experiment 2. The eye–speech lag (the time interval between the shift of gaze away from an object and the onset of its name) was independent of the speech rate but became shorter with increasing practice. In both experiments, the durations of the gazes to the objects decreased with increasing speech rate, indicating that at higher speech rates, the speakers spent less time planning the object names. In Experiment 1, they spoke as fast as they could, whereas in Experiment 2 they had to maintain a fixed moderate or faster speech rate. Participants named the same set of objects with monosyllabic or disyllabic names on up to 20 successive trials. We examined whether this tight eye-to-speech coordination was maintained at different speech rates and after increasing amounts of practice. 3 Max Planck Institute for Psycholinguistics, Nijmegen, NetherlandsĮarlier studies had shown that speakers naming several objects typically look at each object until they have retrieved the phonological form of its name and therefore look longer at objects with long names than at objects with shorter names.2 School of Psychology, University of Birmingham, Birmingham, UK.1 Max Planck Institute for Psycholinguistics and Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands.I'm building a nerdy spreadsheet of prospective hires, and I'm cultivating a lot of relationships with people I want to work with.Femke van der Meulen 2 and Agnieszka Konopka 3 I'll be hiring in the future, so anyone with a background in ML, game engines, or programming that wants to work on this kind of stuff full-time should get in touch. Please follow us on Twitter, YouTube, and especially Twitch. We'll do first-order-model, wombo.ai, CodeMiko-like mocap and mocap interpolation, and more. The points are accumulated, and at the end we'll give a PS5 to the person with the top overall score. We're giving away prizes on our Twitter for good meme videos, and our Twitch has a trivia show several times a week with $100 prizes for the winner. Voice and face replacement, in both 2D and 3D. The focus is building real time deep fake tech for streamers and eventually filmmaking. I've started a Twitch stream with the new streaming tech I'm building. We're building a bunch of voices and will reveal about twelve of them this week. I just added Peter Griffin yesterday, and I'll add Eric Cartman tomorrow.
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