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Found 12 papers, 5 papers with code
Homography-Based Loss Function for Camera Pose Regression
This paper focuses on the loss functions that embed the error between two poses to perform deep learning based camera pose regression.
Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words
We investigate the performance on phoneme categorization and phoneme and word segmentation of several self-supervised learning (SSL) methods based on Contrastive Predictive Coding (CPC).
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw
We present a number of low-resource approaches to the tasks of the Zero Resource Speech Challenge 2021.
Aligned Contrastive Predictive Coding
We investigate the possibility of forcing a self-supervised model trained using a contrastive predictive loss to extract slowly varying latent representations.
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning
Probabilistic Latent Variable Models (LVMs) provide an alternative to self-supervised learning approaches for linguistic representation learning from speech.
Robust Training of Vector Quantized Bottleneck Models
We show that the codebook learning can suffer from poor initialization and non-stationarity of clustered encoder outputs.
Deep Learning Classification With Noisy Labels
Deep Learning systems have shown tremendous accuracy in image classification, at the cost of big image datasets.
DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation
The process of selective attention in the brain is known to contextually exploit the available audio and visual cues to better focus on target speaker while filtering out other noises.
Unsupervised Incremental Learning and Prediction of Music Signals
A system is presented that segments, clusters and predicts musical audio in an unsupervised manner, adjusting the number of (timbre) clusters instantaneously to the audio input.
