How to pronounce“ctc”in English

unsupervised speech classification using CTC loss, for example, with internal to Siri, they could potentially have very applicable skills to this.

of neat trick in CTC is to define a mapping from this long encoding of the

called warp CTC Stanford and group they're actually one of Andrews students

has a CTC implementation and there's also now CTC losses implemented in

trained where your CTC cost starts up here and you know after a while you optimize and you sort of bottom out around you know what a log likelihood of

and the CTC cost is not perfect it has this assumption of Independence baked

symbol which is special for CTC but if as we'll do in the rest of this talk

to accomplish in order to make CTC work so let's start with the first one so we

a so this is using the CTC cost right that's really the core component of this system it's how you deal with mapping one variable length sequence to another

output and the input but let CTC make this independent assumption it doesn't have a language model in it maybe that's the the sequence of

He received class A driving license from CTCC in 2017 and won the 2nd place of CTCC competition, champion of SEC ,

there are some open source implementations of things like CTC but we wanted to make sure that there's a system out there that's pretty

a software package that efficiently will calculate this ctc loss function for you

a former head of the global fund the deputy director of the ctc a former commissioner of fda

gray is a guy from Scotland who is mostly responsible for this CTC algorithm which is now often used to to train the Alice TM to do the speech

to a transcription that can have a quite variable length and so CTC is one highly

training so this is pretty straightforward the implementation on the web uses the the work CTC code and then we would just train this big neural

order to solve this kind of problem but as I said we'll focus on something called connexion connectionist temporal classification or ctc that is sort of

is forward only it'll turn out that you're going to lose some accuracy and you might kind of hope that CTC because it doesn't care about the alignment

work in on an implementation where the output is actually characters like like the in the by - squawk where they have the ctc now I have to say that the

whole bunch of implementations on the web that you can now use as part of deep learning packages so one of them from Baidu implements CTC on the GPU is

literature and then on top of that we have some fully connected layers that produce these softmax outputs and those are the things that go into CTC for

going to get a whole bunch of these little short utterances along with some really long uh pterence --is and in order to make all the ctc libraries work