2 citations · 2 across the 1 of their papers we have counts for
3 papers
eess.AS2020★ 2 cited
Controllable Sequence-To-Sequence Neural TTS with LPCNET Backend for Real-time Speech Synthesis on CPU
Slava Shechtman, Carmel Rabinovitz, Alex Sorin +2
State-of-the-art sequence-to-sequence acoustic networks, that convert a phonetic sequence to a sequence of spectral features with no explicit prosody prediction, generate speech wi…
eess.AS2019
Sequence to Sequence Neural Speech Synthesis with Prosody Modification Capabilities
Slava Shechtman, Alex Sorin
Modern sequence to sequence neural TTS systems provide close to natural speech quality. Such systems usually comprise a network converting linguistic/phonetic features sequence to…
eess.AS2019
High quality, lightweight and adaptable TTS using LPCNet
Zvi Kons, Slava Shechtman, Alex Sorin +2
We present a lightweight adaptable neural TTS system with high quality output. The system is composed of three separate neural network blocks: prosody prediction, acoustic feature…