15 citations · 29 across the 7 of their papers we have counts for
7 papers
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…
X-ReCoSa: Multi-Scale Context Aggregation For Multi-Turn Dialogue Generation
Danqin Wu
In multi-turn dialogue generation, responses are not only related to the topic and background of the context but also related to words and phrases in the sentences of the context.…
DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation
Da-Yi Wu, Wen-Yi Hsiao, Fu-Rong Yang +5
A vocoder is a conditional audio generation model that converts acoustic features such as mel-spectrograms into waveforms. Taking inspiration from Differentiable Digital Signal Pro…
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…
AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization
Yen-Hao Chen, Da-Yi Wu, Tsung-Han Wu +1
Recently, voice conversion (VC) has been widely studied. Many VC systems use disentangle-based learning techniques to separate the speaker and the linguistic content information fr…
VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture
Da-Yi Wu, Yen-Hao Chen, Hung-Yi Lee
Voice conversion (VC) is a task that transforms the source speaker's timbre, accent, and tones in audio into another one's while preserving the linguistic content. It is still a ch…
Speech-to-Singing Conversion based on Boundary Equilibrium GAN
Da-Yi Wu, Yi-Hsuan Yang
This paper investigates the use of generative adversarial network (GAN)-based models for converting the spectrogram of a speech signal into that of a singing one, without reference…