2 papers
cs.NE2023
Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model
Yi-Ting Lee, Da-Yi Wu, Chih-Chun Yang +1
The goal of this paper is to report certain scientific discoveries about a Seq2Seq model. It is known that analyzing the behavior of RNN-based models at the neuron level is conside…
cs.SD2022
Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network
Da-rong Liu, Po-chun Hsu, Yi-chen Chen +4
ASR has been shown to achieve great performance recently. However, most of them rely on massive paired data, which is not feasible for low-resource languages worldwide. This paper…