Neural Audio Codec
Neural audio codecs are deep learning models designed for audio compression and reconstruction, enhancing audio quality and efficiency.
Category: Concepts
Codec2Vec
Codec2Vec is a speech representation learning framework that uses discrete audio codec units for feature extraction.
Mean Average Precision
A metric used to evaluate the accuracy of information retrieval systems, measuring the average precision across multiple queries.
Information Loss
The reduction or omission of critical information during data processing or transformation.
Retrieval-Augmented Generation
RAG is a method that combines retrieval of relevant information with generative models to enhance the quality of predictions.
Multimodal Embedding
A technique that represents data from multiple modalities (e.g., text and images) in a unified vector space.
Many-in-One Reasoning Model
A model architecture that allows for multiple reasoning capabilities to be embedded within a single model, optimizing deployment memory.
Robustness-aware Learning
Robustness-aware learning refers to training models in a way that enhances their performance and reliability in the presence of unexpected disturbances or anomalies.
Two-stage Training Curriculum
A structured training approach that involves two distinct phases to enhance model learning and performance.
Normalized MSE-based Layer Importance
A metric for assessing the importance of layers in a neural network based on normalized mean squared error.