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[INTERSPEECH 2024] Challenge of singing voice s...

Takuma OKAMOTO
September 04, 2024

[INTERSPEECH 2024] Challenge of singing voice synthesis using only text-to-speech corpus with FIRNet source-filter neural vocoder

Presentation slides of "Challenge of singing voice synthesis using only text-to-speech corpus with FIRNet source-filter neural vocoder," at INTERSPEECH 2024.

[Paper]
https://www.isca-archive.org/interspeech_2024/okamoto24_interspeech.html

[Demo speech samples]
https://ast-astrec.nict.go.jp/demo_samples/svs_using_only_tts_corpus/

Takuma OKAMOTO

September 04, 2024
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  1. 1 Takuma Okamoto1, Yamato Ohtani1, Sota Shimizu2,1, Tomoki Toda3,1 and

    Hisashi Kawai1 1National Institute of Information and Communications Technology, Japan 2Kobe University, Japan 3Nagoya University, Japan ˏKos Island, Greece Challenge of Singing Voice Synthesis Using Only Text-To-Speech Corpus With FIRNet Source-Filter Neural Vocoder
  2. Introduction Conventional methods and problems Proposed method: Uni fi ed

    text-to-speech (TTS) and singing voice synthesis (SVS) framework Experiments Demo samples Conclusion Outline 2 Speech demo samples
  3. High- fi delity and fast neural TTS and SVS models

    TTS: Input text -> speaking speech waveform SVS: Input musical scores (lyrics and notes) -> singing speech waveform Actual applications Useful to perform SVS with the same speaker voice as TTS Problems SVS corpora are more expensive to collect than TTS corpora Introduction 3 Investigating SVS only using TTS data
  4. NICT developed neural TTS on smartphones 4 High- fi delity

    and fast 21-language neural TTS on smartphones Latencies: 0.5 on mid-range (Google Pixel 5) and 0.2 on high-range (Google Pixel 8) <latexit sha1_base64="vH77virhZKTWfm8KwVfm+8tUBjI=">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</latexit> waveform <latexit sha1_base64="9lozoQVeb9VJg5paKElYHBNoA94=">AAACaXichVFNSwJBGH7cvsw+1LpIXSQxOskoVNJJ6NLRj/wAE9ndRt1cd5fdVTDpD3TqFtWpICL6GV36Ax38CeHRoEuHXteFqKjeYWaeeeZ93nlmRjJUxbIZ63uEicmp6RnvrG9ufmHRHwguFSy9bco8L+uqbpYk0eKqovG8rdgqLxkmF1uSyotSc3e0X+xw01J0bd/uGrzSEuuaUlNk0SaqkDM4lxvVQITFmBPhnyDuggjcSOuBOxzgEDpktNEChwabsAoRFrUy4mAwiKugR5xJSHH2OU7gI22bsjhliMQ2aazTquyyGq1HNS1HLdMpKnWTlGFE2TO7Z0P2xB7YC3v/tVbPqTHy0qVZGmu5UfWfhnJv/6paNNtofKr+9GyjhqTjVSHvhsOMbiGP9Z3j82FuJxvtrbMbNiD/16zPHukGWudVvs3w7BV89AHx78/9ExQSsfhWbDOTiKSS7ld4sYo1bNB7byOFPaSRp3OPcIYLXHoGQlAICSvjVMHjapbxJYTIB3bkjAg=</latexit> Speech <latexit sha1_base64="FrsV4cKr6F1l5sv4wX+gnZsUCw4=">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</latexit> Transformer encoder <latexit sha1_base64="FJ0D/ZeHQu3FRThIyKcgfsBca50=">AAACZHichVHLSsNAFD2Nr1pf1SIIghRLRRDKTcHaupCCG5dWbRW0SBJHDaZJSNJCLf6AbhUXrhRExM9w4w+48AcEcVnBjQtv0oq4UG/IzJlz77lzZka1Dd31iJ5CUkdnV3dPuDfS1z8wOBQdHim5VtXRRFGzDMvZUBVXGLopip7uGWLDdoRSUQ2xrh4s+vn1mnBc3TLXvLotyhVlz9R3dU3xmCrMbEcTlCKOTCbuAzlLMoNcLptO5+JykCJKoB3LVvQGW9iBBQ1VVCBgwmNsQIHL3yZkEGzmymgw5zDSg7zAESKsrXKV4AqF2QMe93i12WZNXvs93UCt8S4G/w4r40jSI91Skx7ojl7o49dejaCH76XOs9rSCnt76Hhs9f1fVYVnD/vfqj89e9hFNvCqs3c7YPxTaC197fC8uTq/kmxM0RW9sv9LeqJ7PoFZe9OuC2LlAhF+gK9bjv8OSumUnEnNFtKJ/EL7KcIYxySm+b7nkMcSllHkfQVOcIqz0LPUL8Wk0VapFGprYvgR0sQn0omJ7A==</latexit> + <latexit sha1_base64="RZj7uXeSndNbOBS+nLu16RV9QTs=">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</latexit> ConvNeXt decoder <latexit sha1_base64="71BES6LtwKZxQtoggo/cnrWiehk=">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</latexit> MS-FC-HiFi-GAN <latexit sha1_base64="n5YBLnGZDzV76gGpS8AvQqocPMI=">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</latexit> Input text <latexit sha1_base64="o19XOGySTCO60QMItwO6FbfdcDk=">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</latexit> (Mel-spectrogram) <latexit sha1_base64="ZZgq5fXtX2X3C98nDbWxLPNkdEM=">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</latexit> Intermediate features <latexit sha1_base64="3myQj8xu3v6K4CeekliClhhqvgA=">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</latexit> Fast and high fidelity coustic model <latexit sha1_base64="a3FUWWYwXc0LWMZF+N2Bz+KqLNk=">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</latexit> Fast and high-fidelity <latexit sha1_base64="aTRGb8jc53UerQlwbIirCgMm2Kg=">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</latexit> waveform generative model Show & Tell paper T. Okamoto, Y. Ohtani and H. Kawai, “Mobile PresenTra: NICT fast neural text-to-speech system on smartphones with incremental inference of MS-FC-HiFi-GAN for low-latency synthesis,” in Proc. Interspeech, Sept. 2024, pp. 997—998. (Show & Tell)
  5. High- fi delity and fast neural TTS and SVS models

    TTS: Input text -> speaking speech waveform SVS: Input musical scores (lyrics and notes) -> singing speech waveform Actual applications Useful to perform SVS with the same speaker voice as TTS Problem SVS corpora are more expensive to collect than TTS corpora Introduction 5 Realizing SVS only using TTS data
  6. Ranges of fundamental frequency and phoneme duration in SVS are

    wider than those in TTS JSUT: Single speaker TTS corpus for Japanese (Takamichi+ 2020) JVS-Song: SVS corpus for Japanese singed by the same speaker of JSUT Why challenging? 6 <latexit sha1_base64="CrnGTEe5VWFhiwIYpXre3PvfOxM=">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</latexit> (a) Fundamental frequency <latexit sha1_base64="rrIE699hZMXQUqObtl1RZB8LLhI=">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</latexit> (b) Phoneme duration
  7. UniSyn: Uni fi ed end-to-end TTS and SVS model (Lei+

    AAAI 2023) Trained from multi-speaker TTS and SVS corpus SVS can be performed for a speaker whose singing data are not included in the training set Collection of multi-speaker TTS and SVS corpora is costly. Melody unsupervised SVS model (Choi+ ICASSP 2022) SVS using only TTS data (Only demo samples) Only SVS can be performed but TTS cannot be performed Di ffi cult to extrapolate fundamental frequency
 outside the range of training data Fundamental frequency trajectory tends to be stair-stepped Previous methods and problems 7 LJSpeech can sing songs!!
  8. High- fi delity cascade neural TTS model Acoustic model: Conformer-Fastspeech

    2 with monotonic alignment search Neural vocoder: HiFi-GAN conditioned on mel-spectrogram Baseline TTS model 8 <latexit sha1_base64="0uKxGGvi94ot8NH/8VrRtJh9r1Y=">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</latexit> Input text <latexit sha1_base64="3zQaeuifeEvx5T7XRr3g02kWXWo=">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</latexit> Phoneme (+ accentual) sequence <latexit sha1_base64="FYxxytaCdEJdhqb7izOlkTUtjdE=">AAACfHichVHLSgMxFD0d3/VVdaHgplgVQVpSwQeuhG5c1kcfoFJmpmkdnJkMmWlBiz/gD7hwpSIi6le48Qdc+AnisoIbEe9MB0RFvSHJyck9NyeJ5piG6zH2GFHa2js6u7p7or19/QODsaHhvCtqUuc5XZhCFjXV5aZh85xneCYvOpKrlmbygraX8fcLdS5dQ9ib3r7Ddyy1ahsVQ1c9okqx0YywKkJaXCb9MuV4meuizGUplmApFkT8J0iHIIEwsiJ2iW2UIaCjBgscNjzCJlS41LaQBoND3A4axElCRrDPcYgoaWuUxSlDJXaPxiqttkLWprVf0w3UOp1iUpekjGOKPbAr1mT37Jo9sbdfazWCGr6XfZq1lpY7pcGjsY3Xf1UWzR52P1V/evZQwVLg1SDvTsD4t9Bb+vrBcXNjeX2qMc3O2DP5P2WP7I5uYNdf9Is1vn6CKH1A+vtz/wT5uVR6ITW/NpdYWQq/ohvjmMAMvfciVrCKLHLBuee4wW3kXZlUZpVkK1WJhJoRfAll4QO/nJNX</latexit> Comformer-based decoder <latexit sha1_base64="MoXGCRVLJi/s3ZMINkGhf/4GNkc=">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</latexit> Variance adapter <latexit sha1_base64="T4G9oOvoRuRg/iwO2HEuM7n6CcU=">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</latexit> Comformer-based encoder <latexit sha1_base64="M39mT0XH052bw90RJwiYmVT6EDA=">AAACdHichVHLSsNAFD2Nr1ofjboRdFEsFVdlKvjAVUEEl63aB1QpSTrWoXmRpIVa/AF/wIUrRRHxM9z4Ay76CeKyohsX3qQBUVFvmMyZM/fcOTNXtXXheox1I9LA4NDwSHQ0NjY+MRmXp6aLrtV0NF7QLN1yyqricl2YvOAJT+dl2+GKoeq8pDY2/f1SizuusMw9r23zA0Opm+JQaIpHVFWObxkqr9WEWU/oSps7VTnJ0iyIxE+QCUESYeQs+Qb7qMGChiYMcJjwCOtQ4NJXQQYMNnEH6BDnEBLBPscJYqRtUhanDIXYBv3rtKqErElrv6YbqDU6RafhkDKBFHtkt6zHHtgde2Lvv9bqBDV8L22a1b6W29X46ezu278qg2YPR5+qPz17OMR64FWQdztg/FtofX3r+Ky3u7GT6iyyS/ZM/i9Yl93TDczWi3ad5zvniFEDMt+f+ycoLqczq+mV/HIyux62Ioo5LGCJ3nsNWWwjh0LQk3Nc4TryKs1LSSnVT5UioWYGX0JKfwA4k4/3</latexit> Embedding layer <latexit sha1_base64="UYCLutWGVSku8uGQS1n3qt0e7v4=">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</latexit> Text analyzer <latexit sha1_base64="39v1XxDePhoGim/SyYBCr4T9528=">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</latexit> Predicted acoustic feature <latexit sha1_base64="1Il3IXqFo8nAXk4pW34xs4OTfQU=">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</latexit> CFS2-based acoustic model <latexit sha1_base64="hicsiIYs4zPr0QXVoB2URdgYWjw=">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</latexit> Output speech waveform <latexit sha1_base64="vBDfZdpurARh14trxuiHdxl8u2g=">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</latexit> Mel-spectrogram <latexit sha1_base64="Rgh4Cv8b1Tfqb9/jIWkYO1zmUNU=">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</latexit> Monotonic alignment search <latexit sha1_base64="7HUyvZKz0mWJXbLTg01YenyNt68=">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</latexit> Neural vocoder <latexit sha1_base64="LNBVAhJKtVI2EU9b4kYa+ZzBjpk=">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</latexit> HiFi-GAN <latexit sha1_base64="Yo3tZ28KfDNoWn6DhmoSB4FRJX4=">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</latexit> (Mel-spectrogram) <latexit sha1_base64="kS78Oo6jIgL9scIJQoWPwhkxkx8=">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</latexit> Encoder output <latexit sha1_base64="sjV7/xW9Kfmfc7IiRKz5lmImyr0=">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</latexit> Target energy <latexit sha1_base64="cviEIOqAJOp9MS/3QH9DWiOjuq4=">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</latexit> Target log fo <latexit sha1_base64="oG/qAavCdLlV1JR4O9BDmvIeFWE=">AAACcXichVHLSgMxFD0dX7U+WnWjuCktiiCUtIgWV4IuXFZrH+CLmTHW0OnMMJMWavEH/AEFVxZExM9w4w+46CeIywpuXHhnOiAq6g1JTk7uuTlJNNsQrmSsE1L6+gcGh8LDkZHRsfFobGKy6Fp1R+cF3TIsp6ypLjeEyQtSSIOXbYerNc3gJa267u2XGtxxhWXuyKbN92tqxRTHQlclUQcbXLeOuBMXpl2XkcNYkqWYH/GfIB2AJILIWbFb7OEIFnTUUQOHCUnYgAqX2i7SYLCJ20eLOIeQ8Pc5zhAhbZ2yOGWoxFZprNBqN2BNWns1XV+t0ykGdYeUccyxJ3bHuuyR3bNn9v5rrZZfw/PSpFnrabl9GD2fzr/9q6rRLHHyqfrTs8Qxsr5XQd5tn/Fuoff0jdOLbn51e641z9rshfxfsw57oBuYjVf9ZotvX8H7gPT35/4JiplUejm1tJVJrmWDrwhjFgks0HuvYA2byKFA5zq4xDXaoa4yo8SVRC9VCQWaKXwJZfEDLoyPDw==</latexit> Decoder input <latexit sha1_base64="oRXI7vrRQvwVQ6gAKsuPHXCjNNg=">AAACdXichVHLSgMxFD0dX7U+OupGEKFYFVc1FVFxVRDBpa+qoKXMTNMaOp0ZZtJCLf6AP+BCNwpVxM9w4w+46CeIywrduPB2OiBa1BuSnJzcc3OS6I4pPMlYI6T09Pb1D4QHI0PDI6NRdWz8wLPLrsHThm3a7pGuedwUFk9LIU1+5LhcK+kmP9SLG+39wwp3PWFb+7Lq8ExJK1giLwxNEpVV1U2Lu4VqjEQ5YUjbzapxlmB+xLpBMgBxBLFtq/c4QQ42DJRRAocFSdiEBo/aMZJgcIjLoEacS0j4+xzniJC2TFmcMjRiizQWaHUcsBat2zU9X23QKSZ1l5QxzLEX9sCa7Jk9slf28Wutml+j7aVKs97RcicbvZjca/2rKtEscfql+tOzRB5rvldB3h2fad/C6OgrZ5fNvfXdudo8u2Vv5P+GNdgT3cCqvBv1Hb57hQh9QPLnc3eDg6VEciWxvLMUT60FXxHGFGawQO+9ihS2sI00nVvBNeq4C7WUaWVWme+kKqFAM4FvoSx+ApimkJo=</latexit> Energy predictor <latexit sha1_base64="U8FJD4xNas/AIrX7jSTFwf47Z1M=">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</latexit> Energy Conv1D <latexit sha1_base64="tX8q8Q7i2z+dc+Js3rSaj1JvkG4=">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</latexit> log fo predictor <latexit sha1_base64="+VxB7yi+1EMHWkbD9EiTkDEs47I=">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</latexit> log fo Conv1D <latexit sha1_base64="UUNL8Lb8njYcr/XxzgSwZqnbL9c=">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</latexit> MSE <latexit sha1_base64="UUNL8Lb8njYcr/XxzgSwZqnbL9c=">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</latexit> MSE <latexit sha1_base64="f+YTRma+EXocuri8WskzPsRWRyE=">AAACd3ichVHLSgMxFD0dX7U+WutGcGGxKF2VTBEtrgq6cGmrrYJKmRlTDZ3ODDNpsRZ/wB9wIQgKouJnuPEHXPgJ4rKCCC68nQ6IinpDkpOTe25OEt0xhScZewwpPb19/QPhwcjQ8MhoNDYWL3l23TV40bBN293UNY+bwuJFKaTJNx2XazXd5Bt6damzv9Hgridsa102Hb5T0/YsURGGJokqx+LLddeHCZLtCkPabjmWZGnmR+InUAOQRBCrduwK29iFDQN11MBhQRI2ocGjtgUVDA5xO2gR5xIS/j7HESKkrVMWpwyN2CqNe7TaCliL1p2anq826BSTukvKBGbYA7thbXbPbtkTe/+1Vsuv0fHSpFnvarlTjh5PrL3+q6rRLLH/qfrTs0QFWd+rIO+Oz3RuYXT1jcOT9tpiYaY1yy7YM/k/Z4/sjm5gNV6MyzwvnCJCH6B+f+6foJRJq/PpuXwmmcsGXxHGJKaRovdeQA4rWEWRzj3AGa5wHXpTppRZJdVNVUKBZhxfQlE/AKoCkYo=</latexit> Duration predictor <latexit sha1_base64="t5aWuMO6xko25Bg3NsXWWTXc+mM=">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</latexit> Target duration <latexit sha1_base64="UUNL8Lb8njYcr/XxzgSwZqnbL9c=">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</latexit> MSE <latexit sha1_base64="oSvyUr66jQQ3XQSSoNQPb38HXN4=">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</latexit> (Logarithmic domain) <latexit sha1_base64="/zctHQTWmsgO6A/GmvDN+3QYK9U=">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</latexit> Training only <latexit sha1_base64="jq8hKKEjw2gghwMYDOW9ouW9gYo=">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</latexit> Inference for TTS only <latexit sha1_base64="7gwikfOr6tn7VutnHoTvVP3Ca9g=">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</latexit> Gaussian <latexit sha1_base64="17eYvcbLlLJre3AWF5yQAsI0XTU=">AAACbnichVHLSsNAFD2N7/poVRBBRLFUXJWJCxVXghuX2toqVJEkjnVoXiSTghZ/wL24EBQFEfEz3PgDLvoJ4kZQcOPCmzQgWtQbMnPmzD13ztzRXVP4krFGQmlr7+js6u5J9vb1D6TSg0Ml3wk8gxcNx3S8TV3zuSlsXpRCmnzT9bhm6Sbf0KvL4f5GjXu+cOx1eeDybUur2GJPGJokqhy4vmbROXYluZPOsByLYrIVqDHIII5VJ32DLezCgYEAFjhsSMImNPj0laGCwSVuG3XiPEIi2uc4QpK0AWVxytCIrdJYoVU5Zm1ahzX9SG3QKSb9HiknkWWP7Ja9sgd2x57Yx6+16lGN0MsBzXpTy92d1PFo4f1flUWzxP6X6k/PEntYiLwK8u5GTHgLo6mvHZ6+Fhbz2fo0u2LP5P+SNdg93cCuvRnXazx/hvAB1J/tbgWl2Zw6l5tbm80sLcRP0Y0xTGGG+j2PJaxgFcWoYyc4x0XiRRlRxpWJZqqSiDXD+BbKzCcomY4t</latexit> upsampling
  9. Extracting text, fundamental frequency and phoneme duration from musical sores

    Input text: Lyrics Fundamental frequency and phoneme duration: Notes Singing voice synthesis by using TTS model 9 Phoneme d e N d e N m u sh i m u sh i k a t a ts u m u r i Note G4 E4 Number of frames 12.5 25 Number of phonemes 1 1 37.5 2 25 2 37.5 2 12.5 2 25 2 25 2 25 2 50 2 G4 G4 C4 C4 C4 D4 37.5 2 12.5 2 25 2 E4 E4 D4 C4 D4 Input text Fundamental Frequency Phoneme duration When predicted durations of phonemes “d” and “e” are 6 and 10 frames, modi fi ed durations for SVS are 37.5 × 6 / (6 + 10) and 37.5 × 10 / (6 + 10) C4 261.63 Hz D4 293.67 Hz E4 329.63 Hz F4 349.23 Hz G4 392.00 Hz A4 440.00 Hz B4 493.88 Hz C5 523.25 Hz
  10. <latexit sha1_base64="0uKxGGvi94ot8NH/8VrRtJh9r1Y=">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</latexit> Input text <latexit sha1_base64="3zQaeuifeEvx5T7XRr3g02kWXWo=">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</latexit> Phoneme (+ accentual) sequence

    <latexit sha1_base64="FYxxytaCdEJdhqb7izOlkTUtjdE=">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</latexit> Comformer-based decoder <latexit 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sha1_base64="T4G9oOvoRuRg/iwO2HEuM7n6CcU=">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</latexit> Comformer-based encoder <latexit sha1_base64="M39mT0XH052bw90RJwiYmVT6EDA=">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</latexit> Embedding layer <latexit sha1_base64="UYCLutWGVSku8uGQS1n3qt0e7v4=">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</latexit> Text analyzer <latexit sha1_base64="39v1XxDePhoGim/SyYBCr4T9528=">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</latexit> Predicted acoustic feature <latexit sha1_base64="1Il3IXqFo8nAXk4pW34xs4OTfQU=">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</latexit> CFS2-based acoustic model <latexit sha1_base64="hicsiIYs4zPr0QXVoB2URdgYWjw=">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</latexit> Output speech waveform <latexit sha1_base64="4Ts6aQBT2bqEeh17ObF1s0elMXo=">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</latexit> Musical score <latexit sha1_base64="V7QSiWRHN/fxVxKfQBtCr7sl+Sc=">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</latexit> Lyrics <latexit 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sha1_base64="wd6WZ3lKT4bxlxWYA6HDhytt55M=">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</latexit> Mel-cepstrum <latexit sha1_base64="vBDfZdpurARh14trxuiHdxl8u2g=">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</latexit> Mel-spectrogram <latexit sha1_base64="TBp335Uq73K40mymvpZqc0ZR3HI=">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</latexit> or <latexit sha1_base64="Rgh4Cv8b1Tfqb9/jIWkYO1zmUNU=">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</latexit> Monotonic alignment search <latexit sha1_base64="7HUyvZKz0mWJXbLTg01YenyNt68=">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</latexit> Neural vocoder <latexit sha1_base64="Yo3tZ28KfDNoWn6DhmoSB4FRJX4=">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</latexit> (Mel-spectrogram) <latexit sha1_base64="LNBVAhJKtVI2EU9b4kYa+ZzBjpk=">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</latexit> HiFi-GAN <latexit sha1_base64="kS78Oo6jIgL9scIJQoWPwhkxkx8=">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</latexit> Encoder output <latexit sha1_base64="sjV7/xW9Kfmfc7IiRKz5lmImyr0=">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</latexit> Target energy <latexit sha1_base64="cviEIOqAJOp9MS/3QH9DWiOjuq4=">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</latexit> Target log fo <latexit sha1_base64="oG/qAavCdLlV1JR4O9BDmvIeFWE=">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</latexit> Decoder input <latexit sha1_base64="oRXI7vrRQvwVQ6gAKsuPHXCjNNg=">AAACdXichVHLSgMxFD0dX7U+OupGEKFYFVc1FVFxVRDBpa+qoKXMTNMaOp0ZZtJCLf6AP+BCNwpVxM9w4w+46CeIywrduPB2OiBa1BuSnJzcc3OS6I4pPMlYI6T09Pb1D4QHI0PDI6NRdWz8wLPLrsHThm3a7pGuedwUFk9LIU1+5LhcK+kmP9SLG+39wwp3PWFb+7Lq8ExJK1giLwxNEpVV1U2Lu4VqjEQ5YUjbzapxlmB+xLpBMgBxBLFtq/c4QQ42DJRRAocFSdiEBo/aMZJgcIjLoEacS0j4+xzniJC2TFmcMjRiizQWaHUcsBat2zU9X23QKSZ1l5QxzLEX9sCa7Jk9slf28Wutml+j7aVKs97RcicbvZjca/2rKtEscfql+tOzRB5rvldB3h2fad/C6OgrZ5fNvfXdudo8u2Vv5P+GNdgT3cCqvBv1Hb57hQh9QPLnc3eDg6VEciWxvLMUT60FXxHGFGawQO+9ihS2sI00nVvBNeq4C7WUaWVWme+kKqFAM4FvoSx+ApimkJo=</latexit> Energy predictor <latexit sha1_base64="U8FJD4xNas/AIrX7jSTFwf47Z1M=">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</latexit> Energy Conv1D <latexit sha1_base64="tX8q8Q7i2z+dc+Js3rSaj1JvkG4=">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</latexit> log fo predictor <latexit sha1_base64="+VxB7yi+1EMHWkbD9EiTkDEs47I=">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</latexit> log fo Conv1D <latexit sha1_base64="UUNL8Lb8njYcr/XxzgSwZqnbL9c=">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</latexit> MSE <latexit sha1_base64="UUNL8Lb8njYcr/XxzgSwZqnbL9c=">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</latexit> MSE <latexit sha1_base64="f+YTRma+EXocuri8WskzPsRWRyE=">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</latexit> Duration predictor <latexit sha1_base64="t5aWuMO6xko25Bg3NsXWWTXc+mM=">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</latexit> Target duration <latexit sha1_base64="UUNL8Lb8njYcr/XxzgSwZqnbL9c=">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</latexit> MSE <latexit sha1_base64="oSvyUr66jQQ3XQSSoNQPb38HXN4=">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</latexit> (Logarithmic domain) <latexit sha1_base64="scFVnQQc5J1RQMAmhGi3WaF62uM=">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</latexit> Duration of each note <latexit sha1_base64="BGi+APzWNtjHPRYmbWXxRjQsLaQ=">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</latexit> Compensate <latexit sha1_base64="rXXiKz7//+R7/pgc+sgfASK9s6U=">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</latexit> log fo of each phoneme <latexit sha1_base64="/zctHQTWmsgO6A/GmvDN+3QYK9U=">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</latexit> Training only <latexit sha1_base64="jq8hKKEjw2gghwMYDOW9ouW9gYo=">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</latexit> Inference for TTS only <latexit sha1_base64="/SYMe84PvLGMEeTH4Vd17iD7f/Q=">AAACe3ichVHNSsNAEP4a/+tfVRDBS7AoIlKm0mrrSfCiN7W2CioliVsNppuQpIVafQFfwIMnBRHRt/DiC3jwEcSjghcFp2lEPKiz7M7st/PNfLurO5bp+USPEaWlta29o7Mr2t3T29cfGxgseHbFNUTesC3b3dQ1T1imFHnf9C2x6bhCK+uW2NAPFhvnG1XheqYt1/2aI3bK2p40S6ah+QwVY8PLsiRcIQ2hlmxXzRVyqi2tWjEWp0Qqk02l51RKUGAcZLPZFGXUZIjEEdqKHbvCNnZhw0AFZQhI+Bxb0ODx2EISBIexHdQZczkyg3OBY0SZW+EswRkaowe87vFuK0Ql7xs1vYBtcBeLp8tMFeP0QNf0Qvd0Q0/0/mutelCjoaXGXm9yhVPsPxnJvf3LKrP3sf/N+lOzjxIygVaTtTsB0riF0eRXD09fcvNr4/UJuqBn1n9Oj3THN5DVV+NyVaydIcof8PXK6u9BYSaRnE2kV2fiC5nwKzoxijFM8nvPYQFLWEGe+x7hAje4jXwocWVKmW6mKpGQM4QfpqQ/AXBRksE=</latexit> Inference for SVS only <latexit sha1_base64="7gwikfOr6tn7VutnHoTvVP3Ca9g=">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</latexit> Gaussian <latexit sha1_base64="17eYvcbLlLJre3AWF5yQAsI0XTU=">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</latexit> upsampling <latexit sha1_base64="IsP4a3aLkIdYItbxWM1ojX3DSdc=">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</latexit> Variance adapter Uni fi ed TTS and SVS framework 10
  11. Problem of SVS with baseline TTS model Low extrapolation accuracy

    of fundamental frequency and phoneme duration Proposed method with three modi fi cations Acoustic model: Baseline with phoneme embedding skip connection (PESC) Neural vocoder: FIRNet with source- fi lter vocoder (WORLD) features Input fundamental frequency shift Proposed method 11 <latexit sha1_base64="CrnGTEe5VWFhiwIYpXre3PvfOxM=">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</latexit> (a) Fundamental frequency <latexit sha1_base64="rrIE699hZMXQUqObtl1RZB8LLhI=">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</latexit> (b) Phoneme duration
  12. <latexit sha1_base64="0uKxGGvi94ot8NH/8VrRtJh9r1Y=">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</latexit> Input text <latexit sha1_base64="3zQaeuifeEvx5T7XRr3g02kWXWo=">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</latexit> Phoneme (+ accentual) sequence

    <latexit sha1_base64="FYxxytaCdEJdhqb7izOlkTUtjdE=">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</latexit> Comformer-based decoder <latexit sha1_base64="MoXGCRVLJi/s3ZMINkGhf/4GNkc=">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</latexit> Variance adapter <latexit sha1_base64="T4G9oOvoRuRg/iwO2HEuM7n6CcU=">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</latexit> Comformer-based encoder <latexit sha1_base64="M39mT0XH052bw90RJwiYmVT6EDA=">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</latexit> Embedding layer <latexit sha1_base64="UYCLutWGVSku8uGQS1n3qt0e7v4=">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</latexit> Text analyzer <latexit sha1_base64="hicsiIYs4zPr0QXVoB2URdgYWjw=">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</latexit> Output speech waveform <latexit sha1_base64="1Il3IXqFo8nAXk4pW34xs4OTfQU=">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</latexit> CFS2-based acoustic model <latexit sha1_base64="E+sWn7s/7MaD6bsaVEBnTsornB0=">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</latexit> with PESC <latexit sha1_base64="4Ts6aQBT2bqEeh17ObF1s0elMXo=">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</latexit> Musical score <latexit sha1_base64="V7QSiWRHN/fxVxKfQBtCr7sl+Sc=">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</latexit> Lyrics <latexit sha1_base64="QT9u9GUadN9qIbOUeEHE3rUgwFs=">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</latexit> Note <latexit sha1_base64="PqsipI/xZsQGfSNdyT3LSKS2C+Y=">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</latexit> log fo <latexit sha1_base64="kd9jGTD4kykBh5hiEPl34FzrIVo=">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</latexit> Duration <latexit sha1_base64="ZhnkEug4CtRY/uI5grPDrzt6U1k=">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</latexit> Predicted WORLD feature <latexit sha1_base64="wd6WZ3lKT4bxlxWYA6HDhytt55M=">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</latexit> Mel-cepstrum <latexit 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sha1_base64="Rgh4Cv8b1Tfqb9/jIWkYO1zmUNU=">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</latexit> Monotonic alignment search <latexit 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sha1_base64="Zk8gteKuGct0YdLZBDd05sBLQgk=">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</latexit> (FIRNet) <latexit 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 embedding features instead of encoded features Phoneme embedding skip connection 12
  13. Excitation generator Residual FIR network Resonance FIR network Speech waveform

    Concatenate Causal conv block Causal conv block MGC V/UV Cont. log fO BAP Mixed excitation Input features Residual signal Causal conv block (a) Network architecture N V C B M Fundamental frequency controllable neural vocoder (Ohtani+ ICASSP 2024) Two types of FIR fi lter are trained with neural networks Simple excitation signal is convulsed with these FIR fi lters Fast inference compared with other models
 e.g. Harmonic-Net+, Si-Fi-GAN Demo samples
 fo x 1.0
 
 fo x 0.5
 
 fo x 2.0 FIRNet neural vocoder 13 Speech demo samples
  14. For improving fundamental frequency prediction accuracy Converting input fundamental frequency


    inside the range of training data Shit amount is calculated from mean value
 in training set and intermediate value in
 synthesized songs Input fundamental frequency shift 14 <latexit sha1_base64="3zQaeuifeEvx5T7XRr3g02kWXWo=">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</latexit> Phoneme (+ accentual) sequence <latexit 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sha1_base64="T4G9oOvoRuRg/iwO2HEuM7n6CcU=">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</latexit> Comformer-based encoder <latexit 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sha1_base64="1Il3IXqFo8nAXk4pW34xs4OTfQU=">AAACfnichVHLShxBFD121JjxNSabBDeNg+LG8XZDxp6sBCFkqY6jgsrQXVNqYb/orhnQQbLPD2SRVQISQiD5CDf+gAs/QVwayMaFt3tGxIV6m646de49t05VebGvUk100We86B8YfDn0qjA8Mjo2Xpx4vZ5GrUTIuoj8KNn03FT6KpR1rbQvN+NEuoHnyw3vYCnLb7RlkqooXNOHsdwJ3L1Q7SrhaqYaxXdLH2v2XNahaboiaqVaCTOImtJvFEtUJo5KxcyA5ZDFoFp1bLtqWnmKqIReLEfFn9hGExEEWgggEUIz9uEi5W8LFggxczvoMJcwUnle4hgF1ra4SnKFy+wBj3u82uqxIa+znmmuFryLz3/CShPTdE6/6JrO6Ddd0s2jvTp5j8zLIc9eVyvjxviXt7X/z6oCnjX271VPetbYhZN7Vew9zpnsFKKrbx99va59WJ3uzNAPumL/3+mCTvkEYfufOFmRq99Q4Ae4u2XzcbBul61K+f2KXVp0ek8xhElMYZbvewGL+IRl1HnfzzjBH/w1YMwYc8Z8t9To62ne4EEYzi2Pz5LD</latexit> CFS2-based acoustic model <latexit 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  15. Experimental conditions Speech Corpus: JSUT for training and evaluation and

    JSUT-song only for evaluation Sampling frequency: 24 kHz Trained and inferred PyTorch 2.0.1 Trained using an NVIDIA Tesla A100 GPU with 40 GB of memory ESPnet2-TTS recipe for JSUT corpus Frame shift: 10 ms 120 beats per minute for SVS Input fundamental frequency shift: 261.6 + (523.3 − 261.6) / 2 − 206 = 186.5 Hz Experiments 15 Mean value of training data Intermediate value of synthesized songs
  16. Results of objective evaluations 16 Table 1: Results of objective

    evaluations. The values in the columns for mel-cepstral distortion (MCD) and log fo root-mean-square error (RMSE) are the means and standard deviations. AM and NV represent acoustic model and neural vocoder, respectively. TTS SVS AM NV Input fo shift Acoustic feature MCD [dB] log fo RMSE MCD [dB] log fo RMSE CFS2 HiFi-GAN mel-spectrogram 6.20 ± 0.49 0.22 ± 0.06 11.4 ± 0.83 0.41 ± 0.14 CFS2 HiFi-GAN WORLD 6.39 ± 0.51 0.22 ± 0.06 12.0 ± 1.08 0.41 ± 0.10 PESC HiFi-GAN WORLD 6.35 ± 0.51 0.22 ± 0.06 11.5 ± 1.17 0.37 ± 0.09 PESC HiFi-GAN √ WORLD - - 10.9 ± 0.92 0.57 ± 0.15 CFS2 FIRNet WORLD 6.41 ± 0.50 0.23 ± 0.06 12.2 ± 1.02 0.35 ± 0.10 PESC FIRNet WORLD 6.39 ± 0.49 0.23 ± 0.06 11.6 ± 1.18 0.34 ± 0.09 PESC FIRNet √ WORLD - - 10.5 ± 1.00 0.30 ± 0.11 els. The JSUT-Song corpus was used only for evaluating the SVS model. Following the procedure established for ESPnet2- TTS [8], 4,500 utterances, 250 utterances, and 250 utterances were used for the training set, validation set, and test set for TTS, respectively. For TTS in Japanese, the G2P function based on pyopenjtalk and enhanced with prosody symbols [34] was used, following [8, 11]. For the subjective evaluations of TTS, 10 utterances were randomly selected. For the objective and subjective evaluations of SVS, the first phrases of 10 songs from lated by the ESPnet2-TTS toolkit [8, 9]. To evaluate the syn- thesized TTS and SVS speech subjectively, mean opinion score (MOS) tests [38] were conducted for (a) normal TTS, (b) nor- mal SVS, (c) T × 0.5 SVS (240 beats per minute), (d) fo × 0.5 SVS (−1 octave), and (e) fo × 2.0 SVS (+1 octave). In (d) and (e), fo was controlled before the neural vocoders. Each sub- ject evaluated 200 samples: 10 utterances × 20 models. The naturalness of each sample was rated on a five-point scale: (1) bad, (2) poor, (3) fair, (4) good, and (5) excellent. Twenty adult
  17. Results of subjective evaluations 17 <latexit sha1_base64="pbMliQNUovHz+7ATPiA7JhDKlLc=">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</latexit> HFG <latexit sha1_base64="70NiwEj00eCt+oK8h3RttTtjuk4=">AAACZ3ichVHLSgMxFD0d3/XRqiCCm2pRXJVMwQeuCgVxqa2tgkqZGaMNnc4MM2lBiz/gwq2CKwUR8TPc+AMu+gnFZQU3LrwzHRAt6g1JTk7uuTlJdMcUnmSsGVF6evv6BwaHosMjo2Ox+PhE0bNrrsELhm3a7q6uedwUFi9IIU2+67hcq+om39ErWX9/p85dT9jWtjxx+EFVO7bEkTA06VPZ9Xy6FE+yFAsi0Q3UECQRxqYdv8c+DmHDQA1VcFiQhE1o8KjtQQWDQ9wBGsS5hESwz3GGKGlrlMUpQyO2QuMxrfZC1qK1X9ML1AadYlJ3SZnAPHthD6zNntkja7GPX2s1ghq+lxOa9Y6WO6XY+XT+/V9VlWaJ8pfqT88SR1gNvAry7gSMfwujo6+fXrbza7n5xgK7Za/k/4Y12RPdwKq/GXdbPHeNKH2A+vO5u0ExnVKXU0tb6WQmFX7FIGYwh0V67xVksIFNFOjcMi5wiatIS4kpU8p0J1WJhJpJfAtl9hOQ1Iqg</latexit>

    CFS2 <latexit sha1_base64="70NiwEj00eCt+oK8h3RttTtjuk4=">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</latexit> CFS2 <latexit 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sha1_base64="pbMliQNUovHz+7ATPiA7JhDKlLc=">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</latexit> HFG <latexit 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sha1_base64="m6wBwGwGNCYgzPL/wzT7yFwt8kM=">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</latexit> FIRN <latexit 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sha1_base64="AUV+cNY/T1UCo4j8yefaWzA08Is=">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</latexit> PESC <latexit 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sha1_base64="AUV+cNY/T1UCo4j8yefaWzA08Is=">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</latexit> PESC <latexit sha1_base64="AUV+cNY/T1UCo4j8yefaWzA08Is=">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</latexit> PESC <latexit sha1_base64="AUV+cNY/T1UCo4j8yefaWzA08Is=">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</latexit> PESC <latexit sha1_base64="AUV+cNY/T1UCo4j8yefaWzA08Is=">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</latexit> PESC
  18. Proposed method: Uni fi ed TTS and SVS models only

    using TTS data Phoneme embedding skip connection -> improving duration control FIRNet neural vocoder with WORLD features -> extrapolating fundamental frequency Input fundamental frequency shift -> improving fundamental frequency control Conclusion 18 Speech demo samples