Please check whether this paper is about 'Voice Conversion' or not.
article info.
title: Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals
summary: This paper proposes a new task called spatial voice conversion, which aims to
convert a target voice while preserving spatial information and non-target
signals. Traditional voice conversion methods focus on single-channel
waveforms, ignoring the stereo listening experience inherent in human hearing.
Our baseline approach addresses this gap by integrating blind source separation
(BSS), voice conversion (VC), and spatial mixing to handle multi-channel
waveforms. Through experimental evaluations, we organize and identify the key
challenges inherent in this task, such as maintaining audio quality and
accurately preserving spatial information. Our results highlight the
fundamental difficulties in balancing these aspects, providing a benchmark for
future research in spatial voice conversion. The proposed method's code is
publicly available to encourage further exploration in this domain.
Please check whether this paper is about 'Voice Conversion' or not.
article info.
title: Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals
summary: This paper proposes a new task called spatial voice conversion, which aims to convert a target voice while preserving spatial information and non-target signals. Traditional voice conversion methods focus on single-channel waveforms, ignoring the stereo listening experience inherent in human hearing. Our baseline approach addresses this gap by integrating blind source separation (BSS), voice conversion (VC), and spatial mixing to handle multi-channel waveforms. Through experimental evaluations, we organize and identify the key challenges inherent in this task, such as maintaining audio quality and accurately preserving spatial information. Our results highlight the fundamental difficulties in balancing these aspects, providing a benchmark for future research in spatial voice conversion. The proposed method's code is publicly available to encourage further exploration in this domain.
id: http://arxiv.org/abs/2406.17722v1
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