17 citations · 24 across the 2 of their papers we have counts for
3 papers
cs.CV2023★ 7 cited
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
Lijun Yu, Yong Cheng, Zhiruo Wang +10
In this work, we introduce Semantic Pyramid AutoEncoder (SPAE) for enabling frozen LLMs to perform both understanding and generation tasks involving non-linguistic modalities such…
eess.AS2020
An empirical study of Conv-TasNet
Berkan Kadioglu, Michael Horgan, Xiaoyu Liu +3
Conv-TasNet is a recently proposed waveform-based deep neural network that achieves state-of-the-art performance in speech source separation. Its architecture consists of a learnab…
cs.SD2018★ 17 cited
Voice Conversion with Conditional SampleRNN
Cong Zhou, Michael Horgan, Vivek Kumar +2
Here we present a novel approach to conditioning the SampleRNN generative model for voice conversion (VC). Conventional methods for VC modify the perceived speaker identity by conv…