Please check whether this paper is about 'Voice Conversion' or not.
article info.
title: MacST: Multi-Accent Speech Synthesis via Text Transliteration for Accent Conversion
summary: In accented voice conversion or accent conversion, we seek to convert the
accent in speech from one another while preserving speaker identity and
semantic content. In this study, we formulate a novel method for creating
multi-accented speech samples, thus pairs of accented speech samples by the
same speaker, through text transliteration for training accent conversion
systems. We begin by generating transliterated text with Large Language Models
(LLMs), which is then fed into multilingual TTS models to synthesize accented
English speech. As a reference system, we built a sequence-to-sequence model on
the synthetic parallel corpus for accent conversion. We validated the proposed
method for both native and non-native English speakers. Subjective and
objective evaluations further validate our dataset's effectiveness in accent
conversion studies.
Please check whether this paper is about 'Voice Conversion' or not.
article info.
title: MacST: Multi-Accent Speech Synthesis via Text Transliteration for Accent Conversion
summary: In accented voice conversion or accent conversion, we seek to convert the accent in speech from one another while preserving speaker identity and semantic content. In this study, we formulate a novel method for creating multi-accented speech samples, thus pairs of accented speech samples by the same speaker, through text transliteration for training accent conversion systems. We begin by generating transliterated text with Large Language Models (LLMs), which is then fed into multilingual TTS models to synthesize accented English speech. As a reference system, we built a sequence-to-sequence model on the synthetic parallel corpus for accent conversion. We validated the proposed method for both native and non-native English speakers. Subjective and objective evaluations further validate our dataset's effectiveness in accent conversion studies.
id: http://arxiv.org/abs/2409.09352v1
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