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Found 5 papers, 3 papers with code
Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System
As a result, we find that sequential training with wav2vec 2. 0 first and VGS next provides higher performance on audio-visual retrieval compared to simultaneous optimization of both learning mechanisms.
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Self-supervised techniques for learning speech representations have been shown to develop linguistic competence from exposure to speech without the need for human labels.
Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research
Our results show that the use of modest and high audio quality naturalistic speech data result in largely similar conclusions on IDS and ADS in terms of acoustic analyses and modelling experiments.
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics
One potential approach to this problem is to use dynamic time warping (DTW) to find well-aligning patterns from the speech data.
Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets
The present study investigates the behaviour of two predictive coding models, Autoregressive Predictive Coding and Contrastive Predictive Coding, in a phoneme discrimination task (ABX task) for two languages with different dataset sizes.
