Dec 20, 2022 · We propose a novel accent conversion framework without the need of parallel data. Specifically, a text-to-speech (TTS) system is first ...

Dec 20, 2022 · We propose a novel accent conversion framework without the need of parallel data. Specifically, a text-to-speech (TTS) system is first.

We propose a novel accent conversion framework without the need of parallel data. Specifically, a text-to-speech (TTS) system is first pretrained with target- ...

We propose a novel accent conversion framework without the need of parallel data. Specifically, a text-to-speech (TTS) system is first pretrained with target- ...

Apr 25, 2023 · Accent Conversion (AC) seeks to change the accent of speech from one (source) to another (target) while preserving the speech content and ...

Transfer learning from speech synthesis to voice conversion with non-parallel training data ... Tts-guided training for accent conversion without parallel data. Y ...

TTS-Guided Training for Accent Conversion Without Parallel Data. IEEE Signal ... Voice conversion with parallel/non-parallel data and synthetic speech detection.

solution where the conversion model is trained from scratch with the weakly parallel data. ... TTS-Guided Training for Accent Conversion Without Parallel Data.

This paper presents an end-to-end framework, which is able to conduct AC from non-native-accented utterances without using any native-acented utterances ...

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