![Computational linguistics / Human communication / Academia / Humancomputer interaction / Speech recognition / Speech synthesis / Recurrent neural network / Artificial neural network / International Conference on Acoustics / Speech / and Signal Processing / Speech perception / Digital News Network / Acoustic model Computational linguistics / Human communication / Academia / Humancomputer interaction / Speech recognition / Speech synthesis / Recurrent neural network / Artificial neural network / International Conference on Acoustics / Speech / and Signal Processing / Speech perception / Digital News Network / Acoustic model](https://www.pdfsearch.io/img/aa1d5723b2e84d0b17211757fdfcbc9f.jpg) Date: 2015-09-29 11:06:25Computational linguistics Human communication Academia Humancomputer interaction Speech recognition Speech synthesis Recurrent neural network Artificial neural network International Conference on Acoustics Speech and Signal Processing Speech perception Digital News Network Acoustic model | | DEEP NEURAL NETWORKS EMPLOYING MULTI-TASK LEARNING AND STACKED BOTTLENECK FEATURES FOR SPEECH SYNTHESIS Zhizheng Wu Cassia Valentini-BotinhaoAdd to Reading ListSource URL: www.cstr.inf.ed.ac.ukDownload Document from Source Website File Size: 193,23 KBShare Document on Facebook
|