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Selected Papers Interspeech 2019 Wednesday

September 17, 2019

A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David Kung, Michael Picheny https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2700.pdf...

Selected Papers Interspeech 2019 Tuesday

September 16, 2019

Spatial and Spectral Fingerprint in The Brain: Speaker Identification from Single Trial MEG Signals Oral; 1000–1020 Debadatta Dash (The University of Texas at Dallas), Paul Ferrari (University of Texas at...

Selected Papers Interspeech 2019 Monday

September 16, 2019

Overall, it is going pretty good. Many very good papers, diarization joins with decoding, everything goes to the right direction. RadioTalk: a large-scale corpus of talk radio transcripts Doug Beeferman...

Information flows of the future

September 08, 2019

It is interesting how similar ideas raise here and there in seemingly unrelated context. The recent quote from Actionable Book Summary: The Inevitable by Kevin Kelly And what’s next probably...

The masking problem - capsules, specaug, bert

August 25, 2019

An important issue with a modern neural networks is their vulnerability to the masked corruption, that is the random corruption of some small amount of samples in the image or...

The theory of possibilities

June 12, 2019

I've got quite interested in the future prediction these days, one nice idea by Russian writer Sergey Borisovich Pereslegin is that we should build the future based on the theory...

Goodbye Google+

March 27, 2019

Dear friends, as you know Google+ is shutting down. I considered several alternatives: Facebook, Quora, Linkedin, my old blog, Reddit, Twitter, Telegram. Unfortunately there are things I dislike in all...

When information is already lost

April 09, 2018

In speech recognition we frequently deal with noisy or simply corrupted recordings. For example, in call center recordings you still get error rates like 50% or 60% even with the...

Learning with huge memory

January 03, 2017

Recently a set of papers were published about "memorization" in neural networks. For example:Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts LayeralsoUnderstanding deep learning requires rethinking generalizationIt seems that large memory...

Future of texts

July 18, 2016

It seems that people will loose the ability to read, comprehend and remember long texts soon, the question now is - is it possible to deliver very complex messages without...

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