Conditional End-to-End Audio Transforms

30 March 2018

Papers citing "Conditional End-to-End Audio Transforms"

8 / 8 papers shown

Title
An Initial study on Birdsong Re-synthesis Using Neural Vocoders Rhythm Bhatia Tomi Kinnunen 18 1 0 21 Sep 2022
Attention is All You Need? Good Embeddings with Statistics are enough:Large Scale Audio Understanding without Transformers/ Convolutions/ BERTs/ Mixers/ Attention/ RNNs or .... Prateek Verma AI4TS 29 2 0 07 Oct 2021
A Generative Model for Raw Audio Using Transformer Architectures Prateek Verma C. Chafe 22 28 0 30 Jun 2021
Speech-to-Singing Conversion in an Encoder-Decoder Framework Jayneel Parekh Preeti Rao Yi-Hsuan Yang 20 11 0 16 Feb 2020
Direct speech-to-speech translation with a sequence-to-sequence model Ye Jia Ron J. Weiss Fadi Biadsy Wolfgang Macherey Melvin Johnson Z. Chen Yonghui Wu 11 222 0 12 Apr 2019
Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation Fadi Biadsy Ron J. Weiss Pedro J. Moreno D. Kanvesky Ye Jia 16 112 0 08 Apr 2019
Play as You Like: Timbre-enhanced Multi-modal Music Style Transfer Chien-Yu Lu Min-Xin Xue Chia-Che Chang Che-Rung Lee Li Su 40 33 0 28 Nov 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015