21 citations · 41 across the 8 of their papers we have counts for
8 papers
Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization
Youngin Cho, Junsoo Lee, Soyoung Yang +6
Existing deep interactive colorization models have focused on ways to utilize various types of interactions, such as point-wise color hints, scribbles, or natural-language texts, a…
Phase-Aware Spoof Speech Detection Based on Res2Net with Phase Network
Juntae Kim, Sung Min Ban
The spoof speech detection (SSD) is the essential countermeasure for automatic speaker verification systems. Although SSD with magnitude features in the frequency domain has shown…
GRPE: Relative Positional Encoding for Graph Transformer
Wonpyo Park, Woonggi Chang, Donggeon Lee +2
We propose a novel positional encoding for learning graph on Transformer architecture. Existing approaches either linearize a graph to encode absolute position in the sequence of n…
Generalizing RNN-Transducer to Out-Domain Audio via Sparse Self-Attention Layers
Juntae Kim, Jeehye Lee
Recurrent neural network transducer (RNN-T) is an end-to-end speech recognition framework converting input acoustic frames into a character sequence. The state-of-the-art encoder n…
UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation
Won Jang, Dan Lim, Jaesam Yoon +2
Most neural vocoders employ band-limited mel-spectrograms to generate waveforms. If full-band spectral features are used as the input, the vocoder can be provided with as much acou…
Accelerating RNN Transducer Inference via One-Step Constrained Beam Search
Juntae Kim, Yoonhan Lee
We propose a one-step constrained (OSC) beam search to accelerate recurrent neural network (RNN) transducer (RNN-T) inference. The original RNN-T beam search has a while-loop leadi…
Phase-Aware Speech Enhancement with a Recurrent Two Stage Net work
Juntae Kim, Jaesung Bae
We propose a neural network-based speech enhancement (SE) method called the phase-aware recurrent two stage network (rTSN). The rTSN is an extension of our previously proposed two…
End-Point Detection with State Transition Model based on Chunk-Wise Classification
Juntae Kim, Jaesung Bae, Minsoo Hahn
A state transition model (STM) based on chunk-wise classification was proposed for end-point detection (EPD). In general, EPD is developed using frame-wise voice activity detection…