CN110246488A - 半优化CycleGAN模型的语音转换方法及装置 - Google Patents
半优化CycleGAN模型的语音转换方法及装置 Download PDFInfo
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- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
- G10L25/18—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being spectral information of each sub-band
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110838139A (zh) * | 2019-11-04 | 2020-02-25 | 上海联影智能医疗科技有限公司 | 图像配准模型的训练方法、图像配准方法和计算机设备 |
CN112216293A (zh) * | 2020-08-28 | 2021-01-12 | 北京捷通华声科技股份有限公司 | 一种音色转换方法和装置 |
CN112712812A (zh) * | 2020-12-24 | 2021-04-27 | 腾讯音乐娱乐科技(深圳)有限公司 | 音频信号生成方法、装置、设备以及存储介质 |
CN112951253A (zh) * | 2019-11-24 | 2021-06-11 | 华南理工大学 | 一种基于Cycle-GAN的音频风格转换方法及系统 |
CN113052243A (zh) * | 2021-03-30 | 2021-06-29 | 浙江工业大学 | 基于CycleGAN和条件分布自适应的目标检测方法 |
CN113129914A (zh) * | 2019-12-30 | 2021-07-16 | 明日基金知识产权有限公司 | 跨语言语音转换系统和方法 |
CN113327573A (zh) * | 2021-05-28 | 2021-08-31 | 平安科技(深圳)有限公司 | 语音合成方法、装置、设备及存储介质 |
WO2021199446A1 (ja) * | 2020-04-03 | 2021-10-07 | 日本電信電話株式会社 | 音声信号変換モデル学習装置、音声信号変換装置、音声信号変換モデル学習方法及びプログラム |
CN115294970A (zh) * | 2022-10-09 | 2022-11-04 | 苏州大学 | 针对病理嗓音的语音转换方法、装置和存储介质 |
TWI836255B (zh) * | 2021-08-17 | 2024-03-21 | 國立清華大學 | 透過歌聲轉換設計個人化虛擬歌手的方法及裝置 |
CN117830340A (zh) * | 2024-01-04 | 2024-04-05 | 中南大学 | 一种探地雷达目标特征分割方法、系统、设备及存储介质 |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108597496A (zh) * | 2018-05-07 | 2018-09-28 | 广州势必可赢网络科技有限公司 | 一种基于生成式对抗网络的语音生成方法及装置 |
US20190147320A1 (en) * | 2017-11-15 | 2019-05-16 | Uber Technologies, Inc. | "Matching Adversarial Networks" |
CN109767778A (zh) * | 2018-12-27 | 2019-05-17 | 中国人民解放军陆军工程大学 | 一种融合Bi-LSTM和WaveNet的语音转换方法 |
-
2019
- 2019-06-14 CN CN201910515510.5A patent/CN110246488B/zh active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20190147320A1 (en) * | 2017-11-15 | 2019-05-16 | Uber Technologies, Inc. | "Matching Adversarial Networks" |
CN108597496A (zh) * | 2018-05-07 | 2018-09-28 | 广州势必可赢网络科技有限公司 | 一种基于生成式对抗网络的语音生成方法及装置 |
CN109767778A (zh) * | 2018-12-27 | 2019-05-17 | 中国人民解放军陆军工程大学 | 一种融合Bi-LSTM和WaveNet的语音转换方法 |
Non-Patent Citations (5)
Title |
---|
KOU TANAKA ET AL.: "《WavecycleGAN:Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial nerworks》", 《ARXIV:1809.10228V2》 * |
KUAN CHEN ET AL.: "《High-quality Voice Conversion Using Spectrogram-Based WaveNet Vocoder》", 《INTERSPEECH 2018》 * |
TAKUHIRO KANEKE ET AL.: "《CycleGAN-VC2:Improved cyclegan-based non-parallel voice conversion》", 《ARXIV:1904.04631V1》 * |
何剑华等: "《基于改进的CycleGAN模型非配对的图像到图像转换》", 《玉林师范学院学报(自然科学版)》 * |
李涛: "《基于CycleGAN网络实现非平行语料库条件下的语音转换》", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110838139A (zh) * | 2019-11-04 | 2020-02-25 | 上海联影智能医疗科技有限公司 | 图像配准模型的训练方法、图像配准方法和计算机设备 |
CN110838139B (zh) * | 2019-11-04 | 2022-10-25 | 上海联影智能医疗科技有限公司 | 图像配准模型的训练方法、图像配准方法和计算机设备 |
CN112951253A (zh) * | 2019-11-24 | 2021-06-11 | 华南理工大学 | 一种基于Cycle-GAN的音频风格转换方法及系统 |
CN113129914A (zh) * | 2019-12-30 | 2021-07-16 | 明日基金知识产权有限公司 | 跨语言语音转换系统和方法 |
WO2021199446A1 (ja) * | 2020-04-03 | 2021-10-07 | 日本電信電話株式会社 | 音声信号変換モデル学習装置、音声信号変換装置、音声信号変換モデル学習方法及びプログラム |
JPWO2021199446A1 (zh) * | 2020-04-03 | 2021-10-07 | ||
JP7368779B2 (ja) | 2020-04-03 | 2023-10-25 | 日本電信電話株式会社 | 音声信号変換モデル学習装置、音声信号変換装置、音声信号変換モデル学習方法及びプログラム |
CN112216293A (zh) * | 2020-08-28 | 2021-01-12 | 北京捷通华声科技股份有限公司 | 一种音色转换方法和装置 |
CN112712812A (zh) * | 2020-12-24 | 2021-04-27 | 腾讯音乐娱乐科技(深圳)有限公司 | 音频信号生成方法、装置、设备以及存储介质 |
CN112712812B (zh) * | 2020-12-24 | 2024-04-26 | 腾讯音乐娱乐科技(深圳)有限公司 | 音频信号生成方法、装置、设备以及存储介质 |
CN113052243A (zh) * | 2021-03-30 | 2021-06-29 | 浙江工业大学 | 基于CycleGAN和条件分布自适应的目标检测方法 |
CN113327573A (zh) * | 2021-05-28 | 2021-08-31 | 平安科技(深圳)有限公司 | 语音合成方法、装置、设备及存储介质 |
TWI836255B (zh) * | 2021-08-17 | 2024-03-21 | 國立清華大學 | 透過歌聲轉換設計個人化虛擬歌手的方法及裝置 |
CN115294970A (zh) * | 2022-10-09 | 2022-11-04 | 苏州大学 | 针对病理嗓音的语音转换方法、装置和存储介质 |
CN117830340A (zh) * | 2024-01-04 | 2024-04-05 | 中南大学 | 一种探地雷达目标特征分割方法、系统、设备及存储介质 |
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