Oral cancer speech corpus for the paper "Objective speech outcomes after surgical treatment for oral cancer: An acoustic analysis of a spontaneous speech corpus containing 32.850 tokens"
Authors/Creators
- 1. University of Groningen
- 2. Netherlands Cancer Institute
- 3. Netherlands Caner Institute
Description
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.