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davidscottkrueger – A blog on Representation Learning and Deep Learning for ift6266h14

A blog on Representation Learning and Deep Learning for ift6266h14

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davidscottkrueger – A blog on Representation Learning and Deep Learning for ift6266h14 | davidscottkrueger.wordpress.com Reviews

https://davidscottkrueger.wordpress.com

A blog on Representation Learning and Deep Learning for ift6266h14

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About – davidscottkrueger

https://davidscottkrueger.wordpress.com/about

A blog on Representation Learning and Deep Learning for ift6266h14. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. You are commenting using your Google account. ( Log Out. Notify me of new comments via email. This blog is Over!

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April 2014 – davidscottkrueger

https://davidscottkrueger.wordpress.com/2014/04

A blog on Representation Learning and Deep Learning for ift6266h14. April 27, 2014. Results on AA dataset. Here is the best result I’ve gotten so far using my multi-prediction CNN-MDNs. For comparison, here is the same architecture/dataset with a scalar output:. April 24, 2014. First Results with Mixture Density Networks. Using a mixture model makes the output distribution multi-modal, which, as we discussed in class, may be important for realistic generation and should prevent flat-lining. In the meanwh...

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October 2016 – davidscottkrueger

https://davidscottkrueger.wordpress.com/2016/10

A blog on Representation Learning and Deep Learning for ift6266h14. October 17, 2016. This blog is Over! This blog was for my class, which is over. I don’t post here anymore, and don’t intend to. Here is my current school web page, tho, iyi:. This blog is Over! Results on AA dataset. On First Results with Mixture Den…. On Better Results with CNNs. Better Results with…. On Better Results with CNNs. Create a free website or blog at WordPress.com.

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Results on AA dataset – davidscottkrueger

https://davidscottkrueger.wordpress.com/2014/04/27/results-on-aa-dataset

A blog on Representation Learning and Deep Learning for ift6266h14. April 27, 2014. Results on AA dataset. Here is the best result I’ve gotten so far using my multi-prediction CNN-MDNs. For comparison, here is the same architecture/dataset with a scalar output:. First Results with Mixture Density Networks. Test wavs1 →. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). Notify me of new comments via email.

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First Results with Mixture Density Networks – davidscottkrueger

https://davidscottkrueger.wordpress.com/2014/04/24/first-results-with-mixture-density-networks

A blog on Representation Learning and Deep Learning for ift6266h14. April 24, 2014. First Results with Mixture Density Networks. Neural Networks can be used to output the parameters of a mixture model. This combined model is then called a Mixture Density Network (MDN). Alex Graves used an MDN in his work on handwriting synthesis, which inspired my decision to use one. I use a mixture of Gaussians, each parametrized with mean, variance, and mixture coefficient. Too large a learning rate:. 1 The prediction...

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2) First test with PyLearn2 – IFT6266 Project : Speech Synthesis

https://benjaubert.wordpress.com/2014/02/10/2-first-test-with-pylearn2

IFT6266 Project : Speech Synthesis. February 10, 2014. 2) First test with PyLearn2. In order to begin, the idea is to construct a simple linear MLP that predict the next scalar sample from acoustic samples that precede (given a fixed window). My test code was. And carried out the following steps:. 8211; Read an acoustic sample (WAV file as numpy array). 8211; Normalize data between [-1 1] with zero mean ( if no voice, value was zero). X: an array of diemensions [N 100]. Train/Test Data size: 31694 each.

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Apr10 – Exam | Representation Learning - ift6266h14

https://ift6266h14.wordpress.com/2014/04/03/apr10-exam/comment-page-1

Representation Learning – ift6266h14. Yoshua Bengio's graduate class on representation learning and deep learning. Apparently successful results with RNNs →. Apr10 – Exam. Posted by Yoshua Bengio. Please prepare for the final exam by reviewing the material studied during the term and the question/answers produced by all of us. Examples of exams from previous years can be found there. 15 thoughts on “ Apr10 – Exam. April 6, 2014 at 17:57. April 6, 2014 at 21:07. April 7, 2014 at 17:41. Http:/ learninglear...

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Apr10 – Exam | Representation Learning - ift6266h14

https://ift6266h14.wordpress.com/2014/04/03/apr10-exam

Representation Learning – ift6266h14. Yoshua Bengio's graduate class on representation learning and deep learning. Apparently successful results with RNNs →. Apr10 – Exam. Posted by Yoshua Bengio. Please prepare for the final exam by reviewing the material studied during the term and the question/answers produced by all of us. Examples of exams from previous years can be found there. 15 thoughts on “ Apr10 – Exam. April 6, 2014 at 17:57. April 6, 2014 at 21:07. April 7, 2014 at 17:41. Http:/ learninglear...

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Some (late) initial thoughts | IFT6266

https://twuilliam.wordpress.com/2014/02/10/some-late-initial-thoughts

Some (late) initial thoughts. This year the project in IFT6266 course will focus on a unified approach to speech synthesis based on deep learning algorithms. Speech synthesis consists of mapping a text to the corresponding acoustic signals. This process is also called a text-to-speech system. According to Wikipedia. These systems first appeared in the late 50’s, which is quite old! As explained by David Krueger. Speech can be defined as an acoustic signal with melody, rhythm and harmony that is why a uni...

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First Results with MDN | Speech Synthesis Project (ift6266h14)

https://dskspeechsynthesis.wordpress.com/2014/04/24/first-results-with-mdn

Speech Synthesis Project (ift6266h14). A great WordPress.com site. First Results with MDN. See the link for this post. Http:/ davidscottkrueger.wordpress.com/2014/04/24/first-results-with-mixture-density-networks/. April 24, 2014. Better Results with CNNs. MDN Update →. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. Notify me of new comments via email.

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TIMIT in a class | Random Mumbling

https://deeprandommumbling.wordpress.com/2014/02/03/timit-in-a-class/comment-page-1

TIMIT in a class. February 3, 2014. So I wrapped TIMIT into a class. You can use it as you see fit. I haven’t added any preprocessing (centering, normalization, wavelets, Fourier transform, LPC. 8230;). (EDIT: I use however the segment axis function used by João here. To cut the sequence into frames, copy this file. In your Python path.). This class is using a reduced set of phonemes, as the same phoneme can be written (and is written) in multiple ways (mentioned here. February 3, 2014 at 9:29 pm. I am w...

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TIMIT in a class | Random Mumbling

https://deeprandommumbling.wordpress.com/2014/02/03/timit-in-a-class

TIMIT in a class. February 3, 2014. So I wrapped TIMIT into a class. You can use it as you see fit. I haven’t added any preprocessing (centering, normalization, wavelets, Fourier transform, LPC. 8230;). (EDIT: I use however the segment axis function used by João here. To cut the sequence into frames, copy this file. In your Python path.). This class is using a reduced set of phonemes, as the same phoneme can be written (and is written) in multiple ways (mentioned here. February 3, 2014 at 9:29 pm. I am w...

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Objective Evaluation Metrics (other than MSE) | Speech Synthesis Project (ift6266h14)

https://dskspeechsynthesis.wordpress.com/2014/04/24/objective-evaluation-metrics-other-than-mse

Speech Synthesis Project (ift6266h14). A great WordPress.com site. Objective Evaluation Metrics (other than MSE). I accidentally posted this in the wrong blog and just noticed 😦. I mentioned this paper in class today, so here’s a reference. Specifically, footnote 7 and the paragraph before section 4.2 talk about this. Http:/ static.googleusercontent.com/media/research.google.com/en/ pubs/archive/40837.pdf. April 24, 2014. Better Results with CNNs →. Leave a Reply Cancel reply. Enter your comment here.

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MDN Update | Speech Synthesis Project (ift6266h14)

https://dskspeechsynthesis.wordpress.com/2014/04/25/mdn-update/comment-page-1

Speech Synthesis Project (ift6266h14). A great WordPress.com site. I found a bug in my MDN cost code after my last post. I fixed the bug and also found a stable implementation for the logsumexp in my cost function here. I reran experiments on TIMIT as well as new experiments on just the aa phonemes. I also tried to implement the trick from the RNADE paper. In any case, results so far have been poor, and similar to yesterdays, except that the generated sequence explodes:. A relatively nice looking example:.

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Results on AA dataset | Speech Synthesis Project (ift6266h14)

https://dskspeechsynthesis.wordpress.com/2014/04/28/results-on-aa-dataset

Speech Synthesis Project (ift6266h14). A great WordPress.com site. Results on AA dataset. Once again, I posted my blog yesterday to the wrong location. Apologies dear readers. Http:/ davidscottkrueger.wordpress.com/2014/04/27/results-on-aa-dataset/. April 28, 2014. More Resources for Evaluation Metrics →. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your Twitter account. ( Log Out.

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davidscottkrueger – A blog on Representation Learning and Deep Learning for ift6266h14

A blog on Representation Learning and Deep Learning for ift6266h14. October 17, 2016. This blog is Over! This blog was for my class, which is over. I don’t post here anymore, and don’t intend to. Here is my current school web page, tho, iyi:. May 7, 2014. May 1, 2014. Http:/ wpcom.files.wordpress.com/2007/01/mattmullenweg-interview.mp3. Audio http:/ s1.vocaroo.com/media/download temp/Vocaroo s1laSP5UOUqN.mp3. May 1, 2014. April 27, 2014. Results on AA dataset. April 24, 2014. Neural Networks can be used ...

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