SLT2021 hosts the following challenges. The details are as follows:
Organizers: Lei Xie, Zhijian Ou, Qingyang Hong, Xiulin Li, Bo Liu
With the rapid development of automatic speech recognition technology and its widespread use, children speech recognition has an exponential range of applications. It plays a more and more important role in applications, such as intelligent education, toys, smart speakers, etc. However, the speech and language characteristics of children's voice are substantially different from those of adults, which poses challenges to the current ASR technology. Another bottleneck to the current development of children speech recognition is the lack of labelled children's speech in the research community.
We launch the Children Speech Recognition Challenge (CSRC), as a flagship satellite event of IEEE SLT 2021 workshop. The Challenge will release about 400 hours of data for registered teams and set up two challenge tracks, targeting to boost children speech recognition research. Hopefully, the Challenge will also provide a good testbed for related techniques such as domain adaptation, transfer learning, and so on.
The challenge organizer will provide ~340h adult reading data, ~28.6h children reading data and ~29.5h children dialogue data as well as their corresponding transcripts. Two tracks are open for participants, and the difference between the two tracks is that only the officially provided data are allowed for model training in track 1, while track 2 allows participants to use external data listed in openslr in addition to the officially provided data for system building. More details for this challenge can be found from https://www.data-baker.com/csrc_challenge.html
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