A Variational Framework for Improving Naturalness in Generative Spoken Language Models

17 June 2025

Papers citing "A Variational Framework for Improving Naturalness in Generative Spoken Language Models"

7 / 7 papers shown

Title
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing Sanyuan Chen Chengyi Wang Zhengyang Chen Yu-Huan Wu Shujie Liu ... Yao Qian Jian Wu Micheal Zeng Xiangzhan Yu Furu Wei SSL 252 1,896 0 26 Oct 2021
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 328 774 0 27 Aug 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units Wei-Ning Hsu Benjamin Bolte Yao-Hung Hubert Tsai Kushal Lakhotia Ruslan Salakhutdinov Abdel-rahman Mohamed SSL 180 2,989 0 14 Jun 2021
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,454 0 06 Oct 2020
On Layer Normalization in the Transformer Architecture Ruibin Xiong Yunchang Yang Di He Kai Zheng Shuxin Zheng Chen Xing Huishuai Zhang Yanyan Lan Liwei Wang Tie-Yan Liu AI4CE 139 995 0 12 Feb 2020
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 354 2,230 0 22 Sep 2017
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,197 0 21 May 2015