ArticlePloS one2019
CLEESE: An open-source audio-transformation toolbox for data-driven experiments in speech and music cognition.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- How to analyse and manipulate nonlinear phenomena in voice recordings.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- FastACI: a toolbox for investigating auditory perception using reverse correlation.Frontiers in psychology · 2025Article
- A simple psychophysical procedure separates representational and noise components in impairments of speech prosody perception after right-hemisphere stroke.Scientific reports · 2024Article
- Mental representations of speech and musical pitch contours reveal a diversity of profiles in autism spectrum disorder.Autism : the international journal of research and practice · 2023Article
- Article
- Studying the Developing Brain in Real-World Contexts: Moving From Castles in the Air to Castles on the Ground.Frontiers in integrative neuroscience · 2022Review
- Listeners' perceptions of the certainty and honesty of a speaker are associated with a common prosodic signature.Nature communications · 2021Article
- Revealing the information contents of memory within the stimulus information representation framework.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
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5 authors.
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Abstract
Over the past few years, the field of visual social cognition and face processing has been dramatically impacted by a series of data-driven studies employing computer-graphics tools to synthesize arbitrary meaningful facial expressions. In the auditory modality, reverse correlation is traditionally used to characterize sensory processing at the level of spectral or spectro-temporal stimulus properties, but not higher-level cognitive processing of e.g. words, sentences or music, by lack of tools able to manipulate the stimulus dimensions that are relevant for these processes. Here, we present an open-source audio-transformation toolbox, called CLEESE, able to systematically randomize the prosody/melody of existing speech and music recordings. CLEESE works by cutting recordings in small successive time segments (e.g. every successive 100 milliseconds in a spoken utterance), and applying a random parametric transformation of each segment's pitch, duration or amplitude, using a new Python-language implementation of the phase-vocoder digital audio technique. We present here two applications of the tool to generate stimuli for studying intonation processing of interrogative vs declarative speech, and rhythm processing of sung melodies.
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