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Found 7 papers, 2 papers with code
Transfer Learning from Whisper for Microscopic Intelligibility Prediction
Macroscopic intelligibility models predict the expected human word-error-rate for a given speech-in-noise stimulus.
Scaling Properties of Speech Language Models
We establish a strong correlation between pre-training loss and downstream syntactic and semantic performance in SLMs and LLMs, which results in predictable scaling of linguistic performance.
Speech foundation models on intelligibility prediction for hearing-impaired listeners
Our method resulted in the winning submission in the CPC2, demonstrating its promise for speech perception applications.
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech
The success of deep learning comes from its ability to capture the hierarchical structure of data by learning high-level representations defined in terms of low-level ones.
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).
PAMELI: A Meta-Algorithm for Computationally Expensive Multi-Objective Optimization Problems
We present an algorithm for multi-objective optimization of computationally expensive problems.
Emergent cooperation through mutual information maximization
The algorithm is based on the hypothesis that highly correlated actions are a feature of cooperative systems, and hence, we propose the insertion of an auxiliary objective of maximization of the mutual information between the actions of agents in the learning problem.
