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Dataset accompanying the paper "Objective speech outcomes after surgical treatment for oral cancer: An acoustic analysis of a spontaneous speech corpus containing 32.850 tokens" The zip file contains five folders: - Database: contains csv files for each speaker which contain the processed features - Recordings: the original recording from the YouTube Oral Cancer speech dataset, without further preprocessing - Recordings_Normalised: same as recordings but after minimal audio preprocessing (min-max scaling) - Textgrids: contains the textgrids which are annotated on the word-level and on phoneme-level - TIMIT selection: contains the textgrids for the TIMIT speakers. We unfortunately cannot share the audio date as it is not open source. More information can be found here.
oral cancer speech, oral cancer, spontaneous, phoneme
oral cancer speech, oral cancer, spontaneous, phoneme
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