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hello everyone in this presentation we are going to be talking about spoken language understanding and sw aims at extracting the semantic information from the speech signal and it is quite important to enable voice as an interface for human computer interaction the same way we can use a keyboard a mouse or even a camera now the traditional slu is based on two modules the asr and nlu and these two models in this pipeline architecture they have some drawbacks one of them is latexy asr error propagation and also the fact that they are not optimized at the same time they are optimized separately now we can solve this by using unintended cellu where we bypass the need for an assertion script as the semantic information will be now extracted directly from the speech signal but this solution is not a streamable what we are proposing is to have a string end-to-end so solution where the model predicts the intense s chunks of speech signal is arriving to the model like im showing right now and
