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dbamman/nlp21 4

Code and data to support INFO 159/259 (Natural Language Processing)

boblsturm/folkplagiarism 1

Code to detect plagiarism in folkrnn generated output

jrgillick/magenta-js 1

Magenta.js: Music and Art Generation with Machine Intelligence in the Browser

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Added Tensorflow to requirements Fixed issues using Tensorflow 2.0 Fixed issue with scipy.io.wavfile import statement

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issue closedjrgillick/laughter-detection

False positives due to music (BGM)

Hi Jon Gillick,

I tried you code with some podcast audio files and it works excellent. There are some false positive outputs too, where I do see music ( BGM ) also are identified as laughter.

https://content.production.cdn.art19.com/validation=1563883983,1e1020f2-6a03-565e-9c12-e427174fb512,IvBM_SoTXagDGbWmNuqWJkkjFQc/episodes/c3911ffa-4f63-4ceb-810a-c556380d4e24/31b642ca70a6683fab29cd9a11ba6fd448144f26c9491b13d685f2cb2af2bedd20d4e60a58b1a669366c25cd63ffdeb51a2ef07d68a4c02b828598fe765b54a9/MoS-Dara-V11-BP-Mix.mp3

Is there anyway, to detect music and remove them? Do you have any model file for music detection?

I am also interested in the Switchboard files and if possible logic to build my own model using laughter samples I have.

Thank you very much in advance.

SSV

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False positives due to music (BGM)

This should work somewhat better now that I've updated the library to Version 2

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