TransVoice: Real-Time Voice Conversion for Augmenting Near-Field Speech Communication

TransVoice: Real-Time Voice Conversion for Augmenting Near-Field Speech Communication
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TransVoice:用于增强近场语音通信的实时语音转换

DOI:
10.1145/3332167.3357106
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发表时间:
2019
期刊:
Adjunct Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology
影响因子:
--
通讯作者:
H. Saruwatari
H. Saruwatari
中科院分区:
--
文献类型:
--
作者:
Riku Arakawa;Shinnosuke Takamichi;H. Saruwatari

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尽管初步研究很有希望,但当实时语音转换(数据驱动的说话人转换)技术在我们的日常生活中应用时,特别是在我们的近场通信中,说话者的原始声音可能会产生问题,因为重叠的语音会降低转换后语音的沉浸感。我们推出了 TransVoice,这是一种实时语音转换系统,它通过面具形状的设备在物理上限制原始语音。我们的初步研究表明,所提出的设备可以显着降低原始语音的音量,同时由于集成滤波器削弱了低频范围,它改善了深度神经网络(DNN)恶化的转换质量。我们讨论使用 TransVoice 来增强我们的沟通的新颖应用程序。
Despite promising initial studies, a speaker's original voice can cause problems when it comes to the application of real-time voice conversion (data-driven speaker conversion) technology in our daily lives, specifically in our near-field communication, because the overlapping speech degrades the sense of immersion to the converted speech. We present TransVoice, a real-time voice conversion system that physically confines original speech with a mask-shaped device. Our preliminary study shows the proposed device can reduce the volume of original speech significantly, while it ameliorates the deteriorated conversion quality of the deep neural network (DNN) thanks to an integrated filter that weakens the low frequency range. We discuss novel applications using TransVoice that can augment our communication.
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DOI: --
发表时间: 2005
期刊: Proceedings of Interspeech 2005
影响因子: --
作者:
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