\( May~5^{th}, 2023: \) Registration deadline, the due date for participants to join the Challenge.
\( June~9^{th}, 2023: \) Test data release.
\( June~13^{rd}, 2023: \) Final submission deadline.
\( June~19^{th}, 2023: \) Evaluation result and ranking release.
\( July~3^{rd}, 2023: \) Deadline for paper submission.
\( July~10^{th}, 2023: \) Deadline for final paper submission.
\( December~12^{nd}\ to\ 16^{th}, 2023: \) ASRU Workshop
\( April~29, 2023: \) Challenge and registration open.
\( May~8, 2023: \) Baseline release.
\( May~15, 2023: \) Registration deadline, the due date for participants to join the Challenge.
\( June~9, 2023: \) Test data release and leaderboard open.
\( June~13, 2023: \) Final submission deadline.
\( June~19, 2023: \) Evaluation result and ranking release.
\( July~3, 2023: \) Deadline for paper submission.
\( July~10, 2023: \) Deadline for final paper submission.
\( December~12\ to\ 16, 2023: \) ASRU Workshop and challenge session
Interested participants, whether from academia or industry, must register for the challenge by completing the Google form below. The deadline for registration is May 5, 2023.
- +Interested participants, whether from academia or industry, must register for the challenge by completing the Google form below. The deadline for registration is May 15, 2023.
+Within three working days, the challenge organizer will send email invitations to eligible teams to participate in the challenge. All qualified teams are required to adhere to the challenge rules, which will be published on the challenge page. Prior to the ranking release time, each participant must submit a system description document detailing their approach and methods. The organizer will select the top three submissions to be included in the ASRU2023 Proceedings.
Data augmentation is allowed on the original training dataset, including, but not limited to, adding noise or reverberation, speed perturbation and tone change.
Participants are permitted to use the Eval set for model training, but it is not allowed to use the Test set for this purpose. Instead, the Test set should only be utilized for parameter tuning and model selection. Any use of the Test-2023 dataset that violates these rules is strictly prohibited, including but not limited to the use of the Test set for fine-tuning or training the model.
Multi-system fusion is allowed, but the systems with same structure and different parameters is not encouraged.
If the cpCER of the two systems on the Test dataset are the same, the system with lower computation complexity will be judged as the superior one.
If the forced alignment is used to obtain the frame-level classification label, the forced alignment model must be trained on the basis of the data allowed by the corresponding sub-track.
Shallow fusion is allowed to the end-to-end approaches, e.g., LAS, RNNT and Transformer, but the training data of the shallow fusion language model can only come from the transcripts of the allowed training dataset.
\( 2023.5.5: \) 参赛者注册截止
\( 2023.4.29: \) 开放注册
\( 2023.5.8: \) 基线发布
\( 2023.5.15: \) 注册截止
\( 2023.6.9: \) 测试集数据发布
\( 2023.6.13: \) 最终结果提交截止
\( 2023.6.19: \) 评估结果和排名发布
\( 2023.7.3: \) 论文提交截止
\( 2023.7.10: \) 最终版论文提交截止
\( 2023.12.12: \) ASRU Workshop
\( 2023.12.12: \) ASRU Workshop & challenge session
来自学术界和工业界的有意向参赛者均应在2023年5月5日及之前填写下方的谷歌表单：
+来自学术界和工业界的有意向参赛者均应在2023年5月15日及之前填写下方的谷歌表单：
主办方将在3个工作日内通过电子邮件通知符合条件的参赛团队，团队必须遵守将在挑战网站上发布的挑战规则。在排名发布之前，每个参赛者必须提交一份系统描述文件，详细说明使用的方法和模型。主办方将选择前三名纳入ASRU2023论文集。
允许在原始训练数据集上进行数据增强，包括但不限于添加噪声或混响、速度扰动和音调变化。
允许参赛者使用Eval集进行模型训练，但Test集仅能用于调参和模型选择，严禁以任何形式使用Test-2023数据集，包括但不限于使用测试数据集微调或训练模型。
允许多系统融合，但不鼓励使用具有相同结构仅参数不同的子系统融合。
如果两个系统的测试cpCER相同，则计算复杂度较低的系统将被认定为更优。
如果使用强制对齐模型获得了逐帧分类标签，则必须使用相应子赛道允许的数据对强制对齐模型进行训练。
端到端方法中允许使用浅层融合语言模型，模型可以选择LAS、RNNT和Transformer等，但浅层融合语言模型的训练数据只能来自于允许的训练数据集的转录抄本。