interspeech16-ng.tar.gz (297 kB)
Download fileInterspeech 2016 - Experiment results for the paper "Combining weak tokenisers for phonotactic language recognition in a resource-constrained setting"
dataset
posted on 2016-06-27, 13:17 authored by Wai Man NgWai Man Ng, Bhusan ChettriBhusan Chettri, Thomas HainThomas HainThis dataset contains the test results for the experiments described in the interspeech 2016 paper "Combining weak tokenisers for phonotactic language recognition in a resource-constrained setting" DOI: 10.21437/Interspeech.2016-630.
The folders are organised in TABLE_2 / TABLE_3 and TABLE_4. In each folder, there are multiple *.detectionscore.DCF files. They are the scoring results based on different experimental conditions.
In the top directory, three csh scripts
gen_TABLE_2_results.csh
gen_TABLE_3_results.csh
gen_TABLE_4_results.csh
are included. When executed, it will automatically extract the relevant scores from the folder and displays the language recognition results as described in the paper.
The folders are organised in TABLE_2 / TABLE_3 and TABLE_4. In each folder, there are multiple *.detectionscore.DCF files. They are the scoring results based on different experimental conditions.
In the top directory, three csh scripts
gen_TABLE_2_results.csh
gen_TABLE_3_results.csh
gen_TABLE_4_results.csh
are included. When executed, it will automatically extract the relevant scores from the folder and displays the language recognition results as described in the paper.
Funding
EPSRC Programme Grant EP/I031022/1 (Natural Speech Technology)
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References
Ethics
There is no personal data or any that requires ethical approvalPolicy
The data complies with the institution and funders' policies on access and sharingSharing and access restrictions
The data can be shared openlyData description
- The file formats are open or commonly used
Methodology, headings and units
- Headings and units are explained in the files
CC BY 4.0