2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024
SyllableLM: Learning Coarse Semantic Units for Speech Language Models
Alan Baade, Puyuan Peng, David Harwath
Language models require tokenized inputs. However, tokenization strategies for continuous data like audio and vision are often based on simple heuristics such as fixed sized convol…
eess.AS2022★ 2 cited
MAE-AST: Masked Autoencoding Audio Spectrogram Transformer
Alan Baade, Puyuan Peng, David Harwath
In this paper, we propose a simple yet powerful improvement over the recent Self-Supervised Audio Spectrogram Transformer (SSAST) model for speech and audio classification. Specifi…