Appointment: Associate Professor
Director of the Brain, Language and Intersensory Perception Lab (BLIP Lab), Psychology, NTU

Suzy J. Styles is a developmental psycholinguist specializing in the interaction between language and the development of sensory systems. She trained in Linguistics and Japanese at the Australian National University and Tohoku University, and in Psycholinguistics at the University of Oxford, where she held a Career Development Fellowship at the Department of Experimental Psychology and St Hugh's College. She is an Associate Professor and Director of the Brain, Language and Inter-sensory Processing Lab (BLIP Lab) at Nanyang Technological University, Singapore.

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Open Educational Resources (OERs)

Language - Sensation - Cognition
Evolution of the Human Primate
Crash Course in Sensory Psycholinguistics
Ethical Research Practices
Neuroscience

Science Of Child Language

Research Tools, Surveys & Scales

Understanding Sensation
• Bilingual Language Surveys (coming soon)



For more information, visit faculty webpage or BLIP Lab website

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1,011 to 1,020 of 1,561 Results
Tabular Data - 10.7 KB - 1 Variables, 154 Observations - UNF:6:DWd9g07ws3tko2NOoPzfHw==
Contains the filenames of all audio recordings in the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).
Plain Text - 46.3 KB - MD5: 549467899677f8d2fdb55484680ca1cb
Contains metadata of the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).
Plain Text - 4.2 KB - MD5: 8d98a0af57777d8c0927fb0abcbcc224
Contains the release notes and dataset description of the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).
Tabular Data - 13.4 KB - 5 Variables, 154 Observations - UNF:6:IG8foF6DZkWbVP4Mp5OAsA==
Contains total lengths of English and Mandarin speech in milliseconds and number of English and Mandarin segments in each audio recording in the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).
MERLIon CCS Challenges(Nanyang Technological University)
Aug 11, 2023Talk Together Corpus of parent-child speech in Singapore
This dataverse contains specially selected datasets from the Talk Together Study which have been re-coded and adapted for use in MERLIon speech processing challenges. The inaugural challenge was run as part of INTERSPEECH 2023. MERLIon CCS Challenge 2023 (INTERSPEECH 2023) • MERL...
Aug 11, 2023Growing Collection
Main Dataverse for the collection of files from the Talk Together Study
Jul 10, 2023 - Green Grass Park
Styles, Suzy J; Fong, Seraphina; Pan, Lei; Woon, Fei Ting; Chua, YH Victoria, 2023, "Green Grass Park (Split Language Labels) - A SESAME Research Tool", https://doi.org/10.21979/N9/NF4T2Z, DR-NTU (Data), V1, UNF:6:WQq3Zz+/vGffGbIA0h/gAw== [fileUNF]
In the domain of speech elicitation, it is well understood that participants speak differently when producing different kinds of speech. In particular, speakers tend to use more ‘standard’ pronunciations when reading individual words in isolation, as compared to reading words wit...
Tabular Data - 2.2 KB - 8 Variables, 28 Observations - UNF:6:rc9sJcwToMMKsozE67IsZg==
Lexical variables for the words used as stimuli in the Malay version of the split language edition of the Green Grass Park picture description task - a SESAME Research Tool, from the BLIP Lab. Contains word frequencies from Malay Newspapers in Singapore and Malaysia, and Age of A...
Adobe PDF - 486.9 KB - MD5: f9d68bc496d9d956ebd999eeff85fc79
Malay version of the split language edition of the Green Grass Park picture description task - a SESAME Research Tool, from the BLIP Lab. This version was designed to elicit specific words in local Singaporean variety of spoken Malay (Bahasa Melayu). Around half of the cues are d...
Adobe PDF - 45.1 MB - MD5: 4027164714506da09273447d0419dec6
Mandarin Chinese version of the split language edition of the Green Grass Park picture description task - a SESAME Research Tool, from the BLIP Lab. This version was designed to elicit specific words in Mandarin Chinese. Around half of the cues are displayed in Mandarin Chinese o...
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