| Natural tts synthesis by conditioning wavenet on mel spectrogram predictions J Shen, R Pang, RJ Weiss, M Schuster, N Jaitly, Z Yang, Z Chen, Y Zhang, ... 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 2143 | 2018 |
| CNN architectures for large-scale audio classification S Hershey, S Chaudhuri, DPW Ellis, JF Gemmeke, A Jansen, RC Moore, ... 2017 ieee international conference on acoustics, speech and signal …, 2017 | 2065 | 2017 |
| Tacotron: Towards end-to-end speech synthesis Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu, RJ Weiss, N Jaitly, Z Yang, ... arXiv preprint arXiv:1703.10135, 2017 | 1745* | 2017 |
| Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis Y Wang, D Stanton, Y Zhang, RJS Ryan, E Battenberg, J Shor, Y Xiao, ... International Conference on Machine Learning, 5180-5189, 2018 | 624 | 2018 |
| Towards end-to-end prosody transfer for expressive speech synthesis with tacotron RJ Skerry-Ryan, E Battenberg, Y Xiao, Y Wang, D Stanton, J Shor, ... international conference on machine learning, 4693-4702, 2018 | 482 | 2018 |
| Fixing a broken ELBO A Alemi, B Poole, I Fischer, J Dillon, RA Saurous, K Murphy International conference on machine learning, 159-168, 2018 | 432 | 2018 |
| Tensorflow distributions JV Dillon, I Langmore, D Tran, E Brevdo, S Vasudevan, D Moore, B Patton, ... arXiv preprint arXiv:1711.10604, 2017 | 406 | 2017 |
| Voicefilter: Targeted voice separation by speaker-conditioned spectrogram masking Q Wang, H Muckenhirn, K Wilson, P Sridhar, Z Wu, J Hershey, ... arXiv preprint arXiv:1810.04826, 2018 | 276 | 2018 |
| Deep probabilistic programming D Tran, MD Hoffman, RA Saurous, E Brevdo, K Murphy, DM Blei arXiv preprint arXiv:1701.03757, 2017 | 221 | 2017 |
| Unsupervised learning of semantic audio representations A Jansen, M Plakal, R Pandya, DPW Ellis, S Hershey, J Liu, RC Moore, ... 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 145 | 2018 |
| Trainable frontend for robust and far-field keyword spotting Y Wang, P Getreuer, T Hughes, RF Lyon, RA Saurous 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 115 | 2017 |
| Scalable learning of non-decomposable objectives E Eban, M Schain, A Mackey, A Gordon, R Rifkin, G Elidan Artificial intelligence and statistics, 832-840, 2017 | 108 | 2017 |
| Differentiable consistency constraints for improved deep speech enhancement S Wisdom, JR Hershey, K Wilson, J Thorpe, M Chinen, B Patton, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 90 | 2019 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 69 | 2022 |
| Uncovering latent style factors for expressive speech synthesis Y Wang, RJ Skerry-Ryan, Y Xiao, D Stanton, J Shor, E Battenberg, ... arXiv preprint arXiv:1711.00520, 2017 | 69 | 2017 |
| Simple, distributed, and accelerated probabilistic programming D Tran, MW Hoffman, D Moore, C Suter, S Vasudevan, A Radul Advances in Neural Information Processing Systems 31, 2018 | 64 | 2018 |
| AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech B Patton, Y Agiomyrgiannakis, M Terry, K Wilson, RA Saurous, D Sculley arXiv preprint arXiv:1611.09207, 2016 | 56 | 2016 |
| Emotion Recognition from Human Speech Using Temporal Information and Deep Learning. J Kim, RA Saurous Interspeech, 937-940, 2018 | 49 | 2018 |
| An information-theoretic analysis of deep latent-variable models A Alemi, B Poole, I Fischer, J Dillon, RA Saurus, K Murphy | 49 | 2017 |
| Exploring tradeoffs in models for low-latency speech enhancement K Wilson, M Chinen, J Thorpe, B Patton, J Hershey, RA Saurous, ... 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018 | 43 | 2018 |
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