Nov 9, 2018 · This paper describes a method based on a sequence-to-sequence learning (Seq2Seq) with attention and context preservation mechanism for voice conversion (VC) ...

The proposed voice conversion method, which is called "ConvS2S-VC", learns the mapping between source and target speech feature sequences.

ABSTRACT. This paper describes a method based on a sequence- to-sequence learning (Seq2Seq) with attention and context preservation mechanism for voice ...

This paper describes a method based on a sequence-to-sequence learning (Seq2Seq) with attention and context preservation mechanism for voice conversion (VC) ...

Addressing this issue, the attention mechanism aims to implicitly learn an alignment between the source and target sentences without any assumption about how ...

Nov 9, 2018 · This paper describes a method based on a sequence-to-sequence learning (Seq2Seq) with attention and context preservation mechanism for voice ...

Paper. AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms. Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko ...

Nov 9, 2018 · This paper describes a method based on a sequence- to-sequence learning (Seq2Seq) with attention and context preservation mechanism for voice ...

This paper describes a method based on a sequence-to-sequence learning (Seq2Seq) with attention and context preservation mechanism for voice conversion (VC) ...

Abstract. We introduce a novel sequence-to-sequence (seq2seq) voice conversion (VC) model based on the Transformer architecture with text-to-speech (TTS) ...