Unsupervised, weakly supervised, and semi-supervised learning

pyannote / pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

http://pyannote.github.io

MIT License

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Unsupervised, weakly supervised, and semi-supervised learning #50

Closed hbredin closed 2 years ago

hbredin commented 6 years ago

[ ] Unsupervised Learning by Predicting Noise
[ ] Unsupervised Learning in LSTM Recurrent Neural Networks
[ ] Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics
[ ] Unspeech: Unsupervised Speech Context Embeddings
[ ] An overview of proxy-label approaches for semi-supervised learning
[ ] Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks
[ ] Learning Speaker Representations with Mutual Information
[ ] Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
[ ] Recent Advances in Autoencoder-Based Representation Learning
[ ] Self-supervised speaker embeddings
[ ] Problem Agnostic Speech Encoder (PASE) YouTube video
[ ] Representation Learning with Contrastive Predictive Coding
[ ] Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders

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