6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CL2022
Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models
Lu Dong, Zhi-Qiang Guo, Chao-Hong Tan +3
Neural network models have achieved state-of-the-art performance on grapheme-to-phoneme (G2P) conversion. However, their performance relies on large-scale pronunciation dictionarie…
eess.AS2020★ 6 cited
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer
Jing-Xuan Zhang, Li-Juan Liu, Yan-Nian Chen +4
With the development of automatic speech recognition (ASR) and text-to-speech synthesis (TTS) technique, it's intuitive to construct a voice conversion system by cascading an ASR a…