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6=<latexit sha1_base64="(null)">(null)</latexit><latexit sha1_base64="(null)">(null)</latexit><latexit sha1_base64="(null)...


Noise shaping for neural vocoders
(a) Training stage<latexit sha1_base64="mK1mqAOOttCffizbzSK39lI/LiU=">AAACfXichVFNSxtB...
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討
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基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討

日本音響学会2019年春季研究発表会 3-10-3
2019年3月7日

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基本周波数とメルケプストラムを用いたリアルタイムニューラルボコーダに関する検討

  1. 1. 6=<latexit sha1_base64="(null)">(null)</latexit><latexit sha1_base64="(null)">(null)</latexit><latexit sha1_base64="(null)">(null)</latexit><latexit sha1_base64="(null)">(null)</latexit>
  2. 2. 
 Noise shaping for neural vocoders (a) Training stage<latexit sha1_base64="mK1mqAOOttCffizbzSK39lI/LiU=">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</latexit><latexit 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sha1_base64="mK1mqAOOttCffizbzSK39lI/LiU=">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</latexit> Speech signal<latexit 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sha1_base64="DaKj1+ZEHV9X2j1UBMbfE4Y+o1k=">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</latexit> Acoustic features<latexit 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sha1_base64="ID1VvDnLcgTfuzPowmtqCf7PM38=">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</latexit><latexit sha1_base64="ID1VvDnLcgTfuzPowmtqCf7PM38=">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</latexit> Residual signal<latexit 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sha1_base64="W0AMd2SFuzIBLnf0k4RLimj/aPE=">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</latexit><latexit 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Auxiliary features WaveNet Amplitude f [Hz] Reconstructed source signal Time-Invariant noise weighting filter 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f [Hz]<latexit sha1_base64="JekowpVGRq8ye6Mlmpqdb77uHBw=">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</latexit><latexit 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sha1_base64="AxCp/0ADlFNJuGzcCQj4MYvpTXM=">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</latexit> Training of WaveNet / FFTNet<latexit 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sha1_base64="Azd+72x9Z3Zft0FZGjZDm7tnYds=">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</latexit><latexit sha1_base64="Azd+72x9Z3Zft0FZGjZDm7tnYds=">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</latexit><latexit sha1_base64="Azd+72x9Z3Zft0FZGjZDm7tnYds=">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</latexit> WaveNet / FFTNet<latexit sha1_base64="HoMLaaKrInn74ntzFJlCJE2q5gM=">AAACkXichVFNSxxBEH2OGnXy4UYvQi6Li8FD2NR4UXNaFEQIBL/WFVxZZsZybZztGWZ6F3TxD3j04iGnCEEkfyDXxEv+QA7+BPGokEsOqZ0dCVGS1DDdr1/Vq37d7UWBSgzRZY/V29f/aGBwyH785Omz4dzzkfUkbMY+l/0wCOMNz004UJrLRpmAN6KY3YYXcMXbm+/kKy2OExXqNbMf8VbDrWu1o3zXCFXLvap6XFe67bM2HB/aFbfF79jkX+cXFtYE2FXW23fZWq5ARUoj/xA4GSggi6Uwd4YqthHCRxMNMDSM4AAuEvk24YAQCbeFtnCxIJXmGYewRduUKpYKV9g9Geuy2sxYLetOzyRV+7JLIH8syjwm6Dud0w19o090RT/ Time-invariant noise weighting filter Calculation of time-invariant noise shaping fileter Generation of residual signal Dequantization Inverse filtering Extraction of acoustic features

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