Search Results for author:
Found 2 papers, 1 papers with code
Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models
Neural network models have achieved state-of-the-art performance on grapheme-to-phoneme (G2P) conversion.
Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer
In this paper, we present a ASR-TTS method for voice conversion, which used iFLYTEK ASR engine to transcribe the source speech into text and a Transformer TTS model with WaveNet vocoder to synthesize the converted speech from the decoded text.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
