Sep 18, 2023 · Abstract:We propose a novel framework for electrolaryngeal speech intelligibility enhancement through the use of robust linguistic encoders.

1 Introduction · We propose a novel framework for electrolaryngeal speech intelligibility enhancement, composed of recognition, alignment, and synthesis modules.

Dec 24, 2023 · Electrolaryngeal Speech Intelligibility Enhancement Through Robust Linguistic Encoders. Lester Phillip Violeta1, Wen-Chin Huang, Ding Ma ...

Additionally, self-supervised speech representation based VC (S3R-VC) has also improved the performance in both linguistic and acoustic aspects, even when only ...

Electrolaryngeal Speech Intelligibility Enhancement Through Robust Linguistic Encoders. Official Audio Samples. Authors: Lester Phillip Violeta1, Wen-Chin ...

Apr 17, 2024 · ELECTROLARYNGEAL SPEECH INTELLIGIBILITY ENHANCEMENT THROUGH ROBUST LINGUISTIC ENCODERS · 1: INVERTIBLE VOICE CONVERSION WITH PARALLEL DATA · 2: ...

We propose a novel framework for electrolaryngeal speech intelligibility enhancement through the use of robust linguistic encoders. Pretraining and fine-tuning ...

Two-stage training method for Japanese electrolaryngeal speech enhancement based on sequence-to-sequence voice conversion. D Ma, LP Violeta, K Kobayashi, T Toda.

Electrolaryngeal Speech Intelligibility Enhancement through Robust Linguistic Encoders. Lester Phillip Violeta, Wen-Chin Huang, Ding Ma, Ryuichi Yamamoto ...

Self-supervised speech representations have shown great potential in reconstructing unintelligible speech, such as electrolaryngeal or dysarthric speech [32] .