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Parallel-Data-Free Dictionary Learning for Voice Conversion Using Non-Negative Tucker Decomposition.

, , , , и . ICASSP, стр. 5294-5298. IEEE, (2018)

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Toru Nomura

Toru Matsuyama

Toru Kashima

Richard Heinrich Torunsky

Ahmet Refah Torun

 

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Small-parallel exemplar-based voice conversion in noisy environments using affine non-negative matrix factorization., , , , и . EURASIP J. Audio Speech Music. Process., (2015)Gamma Boltzmann Machine for Simultaneously Modeling Linear- and Log-amplitude Spectra., и . APSIPA, стр. 471-476. IEEE, (2020)STFT Spectral Loss for Training a Neural Speech Waveform Model., , , и . ICASSP, стр. 7065-7069. IEEE, (2019)CAB: An Energy-Based Speaker Clustering Model for Rapid Adaptation in Non-Parallel Voice Conversion.. INTERSPEECH, стр. 3369-3373. ISCA, (2017)Feature extraction using pre-trained convolutive bottleneck nets for dysarthric speech recognition., , , и . EUSIPCO, стр. 1411-1415. IEEE, (2015)Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients., , , и . ICMR, стр. 443-446. ACM, (2015)Voice conversion based on Non-negative matrix factorization using phoneme-categorized dictionary., , , и . ICASSP, стр. 7894-7898. IEEE, (2014)High-Frequency Restoration Using Deep Belief Nets for Super-resolution., , и . SITIS, стр. 38-42. IEEE Computer Society, (2013)Complex-Valued Restricted Boltzmann Machine for Direct Learning of Frequency Spectra., , и . INTERSPEECH, стр. 4021-4025. ISCA, (2017)Voice conversion in high-order eigen space using deep belief nets., , , и . INTERSPEECH, стр. 369-372. ISCA, (2013)