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Natural tts synthesis by conditioning wavenet on mel spectrogram predictions. J Shen, R Pang, RJ Weiss, M Schuster, N Jaitly, Z Yang, Z Chen, Y Zhang, ... 2018 IEEE international conference on...
View Jonathan Shen’s profile on LinkedIn, a professional community of 1 billion members. Creator + Brand Builder<br><br>Lifelong Entrepreneur and learner : Founded 5 companies… ·...
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View Jonathan Shen’s profile on LinkedIn, a professional community of 1 billion members. Jonathan is currently a Principal AI/ML Engineer at Upwork, where he leads technical…
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Jonathan Shen, Ye Jia, Mike Chrzanowski, Yu Zhang, Isaac Elias, Heiga Zen, Yonghui Wu: Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling. CoRR abs/2010.04301 ( 2020 )
Jonathan Shen | Papers With Code. Search Results for author: Jonathan Shen. Found 10 papers, 6 papers with code. Date Published. TRACE: A Time-Relational Approximate Cubing Engine for Fast Data Insights. no code implementations • 12 Jan 2024 • Suharsh Sivakumar , Jonathan Shen , Rajat Monga.
Oct 8, 2020 · Jonathan Shen, Ye Jia, Mike Chrzanowski, Yu Zhang, Isaac Elias, Heiga Zen, Yonghui Wu. This paper presents Non-Attentive Tacotron based on the Tacotron 2 text-to-speech model, replacing the attention mechanism with an explicit duration predictor.
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Jonathan Shen's 16 research works with 2,569 citations and 4,808 reads, including: Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks