Dear community,
You are cordially invited to participate in the Interspeech 2020 Shared Task on Automatic Speech Recognition for Non-Native Children’s Speech. Further information about the shared task is available here: https://sites.google.com/view/wocci/home/interspeech-2020-special-session
This shared task will help advance the state-of-the-art in automatic speech recognition (ASR) by considering a challenging domain for ASR: non-native children's speech. A new data set containing English spoken responses produced by Italian students will be released for training and evaluation. The spoken responses in the data set were produced in the context of an English speaking proficiency examination. The following data will be released for this shared task: training set of 49 hours of transcribed speech, development set of 2 hours of transcribed speech, test set of 2 hours of speech, and a baseline Kaldi ASR system with evaluation scripts. The shared task will consist of two tracks: a *closed track* and an *open track.* In the *closed track*, only the training data distributed as part of the shared task can be used to train the models; in the* open track,* any additional data can be used to train the models.
*Important Dates* - Release of training data (initial set), development data, and baseline system: February 7, 2020
- Release of training data (additional 40 hours): February 14, 2020
- Test data released: March 13, 2020
- Submission of results on test set: March 20, 2020
- Test results announced: March 23, 2020
- Interspeech paper submission deadline: March 30, 2020
*How to Participate* Download the training data: Follow this link to access the user license and download the training data for the shared task
*Organizers* Daniele Falavigna, Fondazione Bruno Kessler
Keelan Evanini, Educational Testing Service
For questions about the shared task, please email is2020challenge at gmail.com.
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Giuseppe Daniele Falavigna
Fondazione Bruno Kessler
Via Sommarive 18 - 38123 Povo - Trento, Italy
mail:falavi at fbk.eu - tel:+39(0)461314562 - fax:+39(0)461314591
HomePage: https://speechtek.fbk.eu/people/profile/falavi -------------------------------------------------------------------------------------------------
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