Phonological but not semantic influences on the speech-to-song illusion

Vitevitch, Michael S.; Ng, Joshua W; Hatley, Evan; Castro, Nichol

doi:10.1177/1747021820969144

Cited by 14 publications

(11 citation statements)

References 77 publications

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“…Similarly, Vitevitch, Ng, Hatley, & Castro (2020) report that words with a high phonological clustering coefficient (which measures the tendency for phonological neighbors of a word to also be neighbors of one another) are perceived as more song-like after repetition.…”

Section: Proposed Mechanisms Of the Speech-to-song Illusionmentioning

confidence: 95%

“…Supporting a role for lexical deactivation in the illusion, they find that words from denser phonological neighborhoods and words from an unfamiliar language are rated as more song-like after repetition. Similarly, Vitevitch et al (2021) report that words with a high phonological clustering coefficient (which measures the tendency for phonological neighbors of a word to also be neighbors of one another) are perceived as more song-like after repetition.…”

Section: Proposed Mechanisms Of the Speech-to-song Illusionmentioning

confidence: 95%

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Individual differences in perception of the speech-to-song illusion are linked to musical aptitude but not musical training.

Tierney

Patel

Jasmin

et al. 2021

Journal of Experimental Psychology: Human Perception and Perfor

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In the speech-to-song illusion certain spoken phrases are perceived as sung after repetition. One possible explanation for this increase in musicality is that, as phrases are repeated, lexical activation dies off, enabling listeners to focus on the melodic and rhythmic characteristics of stimuli and assess them for the presence of musical structure. Here we tested the idea that perception of the illusion requires implicit assessment of melodic and rhythmic structure by presenting individuals with phrases that tend to be perceived as song when repeated, as well as phrases that tend to continue to be perceived as speech when repeated, measuring the strength of the illusion as the rating difference between these two stimulus categories after repetition. Illusion strength varied widely and stably between listeners, with large individual differences and high split-half reliability, suggesting that not all listeners are equally able to detect musical structure in speech. Although variability in illusion strength was unrelated to degree of musical training, participants who perceived the illusion more strongly were proficient in several musical skills, including beat perception, tonality perception, and selective attention to pitch. These findings support models of the speech-to-song illusion in which experience of the illusion is based on detection of musical characteristics latent in spoken phrases.

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Section: Proposed Mechanisms Of the Speech-to-song Illusionmentioning

confidence: 95%

Section: Proposed Mechanisms Of the Speech-to-song Illusionmentioning

confidence: 95%

Individual differences in perception of the speech-to-song illusion are linked to musical aptitude but not musical training.

Tierney

Patel

Jasmin

et al. 2021

Journal of Experimental Psychology: Human Perception and Perfor

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“…Examining the speechto-song illusion from the theoretical and methodological perspective of speech perception, spoken word recognition, and language processing may continue to provide novel insights into this unique auditory illusion. Indeed, the use of the language processing model, node structure theory (MacKay, 1987), to account for the speech-to-song illusion has already led to a number of important discoveries about this illusion (Castro et al, 2018;Mullin et al, 2021;Vitevitch et al, 2020). In the General Discussion, we compare the NST account of the speech-to-song illusion to other accounts of the speech-to-song illusion.…”

Section: Discussionmentioning

confidence: 95%

“…Recent findings from Castro et al (2018; see also Mullin et al, 2021;Vitevitch et al, 2020) indicate that the mechanisms in NST (MacKay, 1987;MacKay et al, 1993)-priming, activation, and satiation-may explain how speech can be perceived as being song-like after several presentations. In NST, nodes are used to represent phonemes, syllables, words, and other types of linguistic information.…”

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confidence: 99%

The influence of memory on the speech-to-song illusion

et al. 2022

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In the speech-to-song illusion a spoken phrase is presented repeatedly and begins to sound as if it is being sung. Anecdotal reports suggest that subsequent presentations of a previously heard phrase enhance the illusion, even if several hours or days have elapsed between presentations. In Experiment 1, we examined in a controlled laboratory setting whether memory traces for a previously heard phrase would influence song-like ratings to a subsequent presentation of that phrase. The results showed that word lists that were played several times throughout the experimental session were rated as being more song-like at the end of the experiment than word lists that were played only once in the experimental session. In Experiment 2, we examined if the memory traces that influenced the speech-to-song illusion were abstract in nature or exemplar-based by playing some word lists several times during the experiment in the same voice and playing other word lists several times during the experiment but in different voices. The results showed that word lists played in the same voice were rated as more song-like at the end of the experiment than word lists played in different voices. Many previous studies have examined how various aspects of the stimulus itself influences the perception of the speech-to-song illusion. The results of the present experiments demonstrate that memory traces of the stimulus also influence the speech-to-song illusion.

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“…The results of a number of behavioral experiments using conventional psycholinguistic tasks in laboratory settings have shown that certain network structures at various scales of the phonological network influence the production, recognition, and learning of spoken words in English. For example, the experiments in [ 18 ] considered a micro-scale measure, the (local) clustering coefficient, and how it influenced spoken word recognition (see also [ 19 , 20 , 21 , 22 ]). At the macro-scale, experiments by [ 23 ] examined how the location of words in the giant component (i.e., the largest group of connected nodes in a network) or in “lexical islands” (i.e., smaller groups of words that are connected to each other, but not to words in the giant component) of the phonological network influenced spoken word recognition.…”

Section: Introductionmentioning

confidence: 99%

What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach

Vitevitch

Mullin

2021

Brain Sciences

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Cognitive network science is an emerging approach that uses the mathematical tools of network science to map the relationships among representations stored in memory to examine how that structure might influence processing. In the present study, we used computer simulations to compare the ability of a well-known model of spoken word recognition, TRACE, to the ability of a cognitive network model with a spreading activation-like process to account for the findings from several previously published behavioral studies of language processing. In all four simulations, the TRACE model failed to retrieve a sufficient number of words to assess if it could replicate the behavioral findings. The cognitive network model successfully replicated the behavioral findings in Simulations 1 and 2. However, in Simulation 3a, the cognitive network did not replicate the behavioral findings, perhaps because an additional mechanism was not implemented in the model. However, in Simulation 3b, when the decay parameter in spreadr was manipulated to model this mechanism the cognitive network model successfully replicated the behavioral findings. The results suggest that models of cognition need to take into account the multi-scale structure that exists among representations in memory, and how that structure can influence processing.

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Phonological but not semantic influences on the speech-to-song illusion

Cited by 14 publications

References 77 publications

Individual differences in perception of the speech-to-song illusion are linked to musical aptitude but not musical training.

Individual differences in perception of the speech-to-song illusion are linked to musical aptitude but not musical training.

The influence of memory on the speech-to-song illusion

What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach

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