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mpc001 / Lipreading_using_Temporal_Convolutional_Networks

ICASSP'22 Training Strategies for Improved Lip-Reading; ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks

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Ask a question about non-casual tcn

Leebh-kor opened this issue · comments

commented

Thank you for providing your lip reading research and code.
I got a question after reading the code and paper you provided. According to the paper, tcn is designed as non-causal, but the code is designed as causal tcn. Non-causal can be designed through some modifications, so there is no problem.
Is the performance presented in the paper casual or non-casual tcn?
Thank you!

commented

Is "Class chomp1d" simply used to match the sequence length of tcn input and output?

commented

Hi @Leebh-kor,

we introduce the Chomp1d() class, which allows switching between causal and non-causal designs, and we set symm_chomp to true for non-causal design.