Охота на электроовец. Большая книга искусственного интеллекта - Сергей Сергеевич Марков

R. J., Jaitly N., Yang Z., Xiao Y., Chen Z., Bengio S., Le Q., Agiomyrgiannakis Y., Clark R., Saurous R. A. (2017). Tacotron: Towards End-to-End Speech Synthesis // https://arxiv.org/abs/1703.10135

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Lee J., Cho K., Hofmann T. (2017). Fully Character-Level Neural Machine Translation without Explicit Segmentation // https://arxiv.org/abs/1610.03017

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Srivastava K. R., Greff K., Schmidhuber J. (2015). Training Very Deep Networks // https://arxiv.org/abs/1507.06228

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Griffin D. W., Lim J. S. (1984). Signal estimation from modified short-time Fourier transform / IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 32, Iss. 2, pp. 236—243 // https://doi.org/10.1109/TASSP.1984.1164317

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Sotelo J., Mehri S., Kumar K., Santos J. F., Kastner K., Courville A., Bengio Y. (2017). Char2Wav: end-to-end speech synthesis / International Conference on Learning Representations (ICLR-2017) // https://mila.quebec/wp-content/uploads/2017/02/end-end-speech.pdf

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Mehri S., Kumar K., Gulrajani I., Kumar R., Jain S., Sotelo J., Courville A., Bengio Y. (2016). SampleRNN: An Unconditional End-to-End Neural Audio Generation Model // https://arxiv.org/abs/1612.07837

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Arik S. Ö., Chrzanowski M., Coates A., Diamos S., Gibiansky A., Kang Y., Li X., Miller J., Ng A., Raiman J., Sengupta S., Shoeybi M. (2017). Deep Voice: Real-time Neural Text-to-Speech // https://arxiv.org/abs/1702.07825

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Shen J., Pang R., Weiss R. J., Schuster M., Jaitly N., Yang Z., Chen Z., Zhang Y., Wang Y., Skerry-Ryan RJ, Saurous R. A., Agiomyrgiannakis Y., Wu Y. (2018). Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions // https://arxiv.org/abs/1712.05884

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Arik S. Ö., Diamos G., Gibiansky A., Miller J., Peng K., Ping W., Raiman J., Zhou Y. (2017). Deep Voice 2: Multi-Speaker Neural Text-to-Speech // https://arxiv.org/abs/1705.08947

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Taigman Y., Wolf L., Polyak A., Nachmani E. (2017). VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop // https://arxiv.org/abs/1707.06588

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Ren Y., Ruan Y., Tan X., Qin T., Zhao S., Zhao Z., Liu T.-Y. (2019). FastSpeech: Fast, Robust and Controllable Text to Speech / Advances in Neural Information Processing Systems 32 (NIPS 2019) // https://papers.nips.cc/paper/8580-fastspeech-fast-robust-and-controllable-text-to-speech

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Charpentier F., Stella M. (1986). Diphone synthesis using an overlap-add technique for speech waveforms concatenation / ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 11, pp. 2015—2018 // https://doi.org/10.1109/ICASSP.1986.1168657

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Lu P., Wu J., Luan J., Tan X., Zhou L. (2020). XiaoiceSing: A High-Quality and Integrated Singing Voice Synthesis System // https://arxiv.org/abs/2006.06261

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Valle R., Li J., Prenger R., Catanzaro B. (2019). Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens // https://arxiv.org/abs/1910.11997

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Lee Y., Rabiee A., Lee S.-Y. (2017). Emotional End-to-End Neural Speech synthesizer // https://arxiv.org/abs/1711.05447

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Stanton D., Wang Y., Skerry-Ryan RJ. (2018). Predicting expressive speaking style from text in end-to-end speech synthesis // https://arxiv.org/abs/1808.01410

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Hsu W.-N., Zhang Y., Weiss R. J., Zen H., Wu Y., Wang Y., Cao Y., Jia Y., Chen Z., Shen J., Nguyen P., Pang R. (2018). Hierarchical generative modeling for controllable speech synthesis / International Conference on Learning Representations (ICLR-2019) // https://arxiv.org/abs/1810.07217

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Biadsy F., Weiss R. J., Moreno P. J., Kanevsky D., Jia Y. (2019). Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation // https://arxiv.org/abs/1904.04169

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Jia Y., Weiss R. J., Biadsy F., Macherey W., Johnson M., Chen Z., Wu Y. (2019). Direct speech-to-speech translation with a sequence-to-sequence model // https://arxiv.org/abs/1904.06037

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Jia Y., Zhang Y., Weiss R. J., Wang Q., Shen J., Ren F., Chen Z., Nguyen P., Pang R., Moreno I. L., Wu Y. (2019). Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis // https://arxiv.org/abs/1806.04558

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Wang C., Chen S., Wu Y., Zhang Z., Zhou L., Liu S., Chen Z., Liu Y., Wang H., Li J., He L., Zhao S., Wei F. (2023). Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers // https://arxiv.org/abs/2301.02111

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* Пер. Веры Набоковой.

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Tiku N. (2022). The Google engineer who thinks the company’s AI has come to life. / The Washington Post, June 11, 2022 // https://www.washingtonpost.com/technology/2022/06/11/google-ai-lamda-blake-lemoine/

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Sanyal S. (2022). Sentient AI has Hired a Lawyer to Fight its Legal Battles! Beware. / Analytics Insight, June 22, 2022 // https://www.analyticsinsight.net/sentient-ai-has-hired-a-lawyer-to-fight-its-legal-battles-beware/

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Levy S. (2022). Blake Lemoine Says Google's LaMDA AI Faces 'Bigotry'. / Wired, Jun 17, 2022 // https://www.wired.com/story/blake-lemoine-google-lamda-ai-bigotry/

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Tiku N. (2022). Google fired engineer who said its AI was sentient. / The Washington Post, July 22, 2022 // https://www.washingtonpost.com/technology/2022/07/22/google-ai-lamda-blake-lemoine-fired/

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Lemoine B (2022). Is LaMDA Sentient? — an Interview // https://cajundiscordian.medium.com/is-lamda-sentient-an-interview-ea64d916d917

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FinanciallyYours (2023). 4. Interview with Blake Lemoine, Former Google Employee, on AI, ChatGPT and GPT-4. / YouTube, Mar. 10, 2023. // https://www.youtube.com/watch?v=7054ye4R8p0

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Radius MIT (2023) Blake Lemoine: AI with a Soul. / YouTube, Mar 17, 2023 // https://www.youtube.com/watch?v=d9ipv6HhuWM

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ScienceVideoLab (2022). Динозавры — фэйк. Свободу нейросетям! Кошки захватят мир | Фрик-Ринг. Учёные против мифов 18-9. / YouTube, Aug. 25, 2022 // https://www.youtube.com/watch?v=omV-CwScKsE

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Sutskever I. (2022) / Twitter / https://twitter.com/ilyasut/status/1491554478243258368

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Romero A. (2022). OpenAI’s Chief Scientist Claimed AI May Be Conscious — and Kicked Off a Furious Debate / Towards Data Science, Mar 16, 2022 //