HuBERT

HuBERT is a benchmark dataset used to evaluate speech representation models, focusing on their performance across various speech-related tasks.

Papers using HuBERT (5)

StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models2025 · 1 citesUnfolding A Few Structures for The Many: Memory-Efficient Compression of Conformer and Speech Foundation Models2025Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization2025Estimating the Completeness of Discrete Speech Units2024 · 2 citesBenchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models2024