Abstract: This paper presents a novel way for an efficient implementation scheme of shallow WaveNet vocoder with multiple samples (segment) output based on the use of Laplacian distribution and linear ...
Samples of Paper RawNet: Fast End-to-End Neural Vocoder, which is submitted to Interspeech 2019. RawNet, is a truly end-to-end neural vocoder, which use a coder network to learn the higher ...
Tacotron모델과 Wavenet Vocoder를 결합하여 한국어 TTS구현하는 project입니다. Tacotron2에서는 모델 구조도 바뀌었고, Location Sensitive Attention, Stop Token, Vocoder로 Wavenet을 제안하고 있다. Tacotron2의 구현은 ...
Abstract: This article presents a neural vocoder named HiNet which reconstructs speech waveforms from acoustic features by predicting amplitude and phase spectra hierarchically. Different from ...
Technologies developed for specific uses sometimes unexpectedly jump to another totally unrelated application. The first-ever digital musical instrument, for example, repurposed aerospace ...
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