One-to-many neural network mapping techniques for face image synthesis
By Chrisina Jayne, Andreas Lanitis, C. Christodoulou. 2012
6 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
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In Computer Vision and Pattern Recognition
Citations in the corpus
- A Survey on Neural Speech Synthesis (2021, background): “2) Providing more variance information such as pitch, duration, and energy as decoder input, which eases the one-to-many mapping problem [136, 81, 376, 449] in text to speech12.”
- FastSpeech 2: Fast and High-Quality End-to-End Text to Speech (2020, background): “TTS is a typical one-to-many mapping problem [4, 6, 29], since multiple possible speech sequences can correspond to a text sequence due to different variations in speech audio, such as pitch, duration, sound volume and prosody.”