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CMU's Framework
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Sl NoDateCategoryTaskStatus
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124 December 2018DevelopmentExtract SoundNet feats for 2019DONE
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224 December 2018DevelopmentExtract MFCC for 2019RUNNING
[tester] recall=0.8940, precision=0.9777, EER=0.0023, f1=0.9340
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324 December 2018DevelopmentGet t-DCF and EER for 2019Done
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424 December 2018DevelopmentGet barebones PyTorch versionDONE
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524 December 2018DevelopmentIncorporate RL into the frameworkstack
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624 December 2018DevelopmentGet statistics with respect to dataDone
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724 December 2018ResearchGet baseline numbers
LFCC + GMM done
CQCC + GMM running [Computation RAM]
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824 December 2018DevelopmentAdd graph visualizationstack
https://www.tensorflow.org/guide/graph_viz
https://github.com/szagoruyko/functional-zoo/blob/master/resnet-18-export.ipynb
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924 December 2018ResearchTrain using Siamese Networkstack
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1024 December 2018Research
Train using segments of speech as opposed to full speech utterance
DONE
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1124 December 2018InfrastructureBackup the data and features on k14DONE
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1225 December 2018DevelopmentBarebones on PA DONE
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1326 December 2018Debugging
Why is PA 2019 getting better results than 2017
RUNNING
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1426 December 2018InfrastructureGet EER at 5 different places in wavefileDONE
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1526 December 2018Development
Check this out : https://github.com/lutzroeder/netron
stack
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1626 December 2018Investment
Check this out : https://github.com/AlexiaJM/RelativisticGAN
stack
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1719 Jan 2019InfrastructureAdd pkl filesstack
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1822 Jan 2019InfrastructureAdd raw signal baselineDONE
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1922 Jan 2019InfrastructureAdd negative samplingDONE
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2022 Jan 2019ResearchLook up Bengio's work using raw signalDONE
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2122 Jan 2019ResearchTry data perturbationstack
http://www.danielpovey.com/files/2018_interspeech_emotion_id.pdf
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2222 Jan 2019Research
A TIME-RESTRICTED SELF-ATTENTION LAYER FOR ASR
stack
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2322 Jan 2019Research
Emotion Identification from raw speech signals using DNNs
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2422 Jan 2019Research
Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers
stack
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2522 Jan 2019Research
SPEAKER RECOGNITION FROM RAW WAVEFORM WITH SINCNET
DONE
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2622 Jan 2019Research
TOWARDS DIRECTLY MODELING RAW SPEECH SIGNAL FOR SPEAKER VERIFICATION USING CNNS
stack
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2723 Jan 2019Research
Use warmup epochs with MFCC as first layer output
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2823 Jan 2019ResearchWarmup with MFCC + negative samplingstack
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2923 Jan 2019ResearchLinear Frequency SincNetstack
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3023 Jan 2019Research
Raw signal as input and quantized file as output
stack
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3123 Jan 2019ResearchCreate mfcc feats for train and devDONE
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3223 Jan 2019ResearchConvert mfcc feats into ascii formatDONE
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3323 Jan 2019Research
train a model to predict feats given raw samples
DONE
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3423 Jan 2019Research
Lookup Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
stack
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3523 Jan 2019ResearchAdd normalization for [33]stack
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3623 Jan 2019ResearchBuild Wavenet for AntispoofingDONE
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3723 Jan 2019ResearchSetup WaveNet for Antispoofing on adaDONE
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3823 Jan 2019ResearchAdd negative sampling with featuresstack
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3923 Jan 2019ResearchAdd MoL loss to feature + negative samplingDONE
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4025 Jan 2019InfrastructureInstall MATLABDONE
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4125 Jan 2019ResearchRun the baseline from organizersDONE
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4226 Jan 2019ResearchInvestigate the metric scriptstack
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4326 Jan 2019ResearchApply BCE LossDONE
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4430 Jan 2019ResearchBuild baseline with SoundNetstack
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4530 Jan 2019ResearchFinetune DCNN with BCElossstack
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4530 Jan 2019ResearchAdd Siamese to DCNNstack
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4630 Jan 2019ResearchExtract features from WaveNetstack
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4701 Feb 2019InfrastructureBuild a docker imageDONE
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4801 Feb 2019ResearchInvestigate MoL stack
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4901 Feb 2019Research
Compare training and validation trajectories raw vs features
RUNNING
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5001 Feb 2019DevelopmentMake pkl files for entire data soundnetRUNNING
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5101 Feb 2019ResearchSee if BCEwithlogits loss is applying sigmoidDONE
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5201 Feb 2019ResearchMonitor attention functionalityRUNNING
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Variational Attention for Sequence-to-Sequence Models
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https://www.kaggle.com/solomonk/pytorch-numer-ai-deep-binary-classification
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A METHOD OF ESTIMATINGTHE EQUAL ERROR RATE FOR AUTOMATIC SPEAKER VERIFICATION
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Test hypothesis with soundnet
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Test hypothesis with self assessed affect
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