Fetching the paper…
Reading the bibliography…
Automatic speech synthesis is a challenging task that is becoming increasingly important as edge devices begin to interact with users through speech.
Squeezenet: Alexnet-level accuracy with 50x fewer parameters and¡ 0.5 mb model size
Iandola, F. N., Han, S., Moskewicz, M. W., Ashraf, K., Dally, W. J., and Keutzer, K · 2016
Earlier work this paper cites.
Wavenet: A generative model for raw audio
Oord, A. v. d., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A., and Kavukcuoglu, K · 2016
Earlier work this paper cites.
Wu, B., Iandola, F., Jin, P. H., and Keutzer, K · 2016
Earlier work this paper cites.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., and Adam, H · 2017
Earlier work this paper cites.
The lj speech dataset
Ito, K · 2017
Earlier work this paper cites.
Shift: A zero flop, zero parameter alternative to spatial convolutions
Wu, B., Wan, A., Yue, X., Jin, P., Zhao, S., Golmant, N., Gholaminejad, A., Gonzalez, J., and Keutzer, K · 2017
Earlier work this paper cites.
Squeezenext: Hardware-aware neural network design
Gholami, A., Kwon, K., Wu, B., Tai, Z., Yue, X., Jin, P., Zhao, S., and Keutzer, K · 2018
Cited alongside, same era.
Efficient neural audio synthesis
Kalchbrenner, N., Elsen, E., Simonyan, K., Noury, S., Casagrande, N., Lockhart, E., Stimberg, F., Oord, A. v. d., Dieleman, S., and Kavukcuoglu, K · 2018
Cited alongside, same era.
Deep voice 3: 2000-speaker neural text-to-speech
Ping, W., Peng, K., Gibiansky, A., Arik, S. O., Kannan, A., Narang, S., Raiman, J., and Miller, J · 2018
Cited alongside, same era.
Mobilenetv2: Inverted residuals and linear bottlenecks
Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., and Chen, L.-C · 2018
Cited alongside, same era.
Natural tts synthesis by conditioning wavenet on mel spectrogram predictions
Shen, J., Pang, R., Weiss, R. J., Schuster, M., Jaitly, N., Yang, Z., Chen, Z., Zhang, Y., Wang, Y., Skerrv-Ryan, R., Saurous, R. A., Agiomvrgiannakis, Y., and Wu, Y · 2018
Synetgy: Algorithm-hardware co-design for convnet accelerators on embedded fpgas
Yang, Y., Huang, Q., Wu, B., Zhang, T., Ma, L., Gambardella, G., Blott, M., Lavagno, L., Vissers, K., Wawrzynek, J., et al · 2018
Later among the works it cites.
Chamnet: Towards efficient network design through platform-aware model adaptation
Dai, X., Zhang, P., Wu, B., Yin, H., Sun, F., Wang, Y., Dukhan, M., Hu, Y., Wu, Y., Jia, Y., Vajda, P., Uyttendaele, M., and Jha, N. K · 2019
Later among the works it cites.
Waveglow: A flow-based generative network for speech synthesis
Prenger, R., Valle, R., and Catanzaro, B · 2019
Later among the works it cites.
Lpcnet: Improving neural speech synthesis through linear prediction
Valin, J.-M. and Skoglund, J · 2019
Later among the works it cites.
Efficient Deep Neural Networks
Wu, B · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud
Wu, B., Wan, A., Yue, X., and Keutzer, K · 2018
Cited alongside, same era.
Wu, B., Zhou, X., Zhao, S., Yue, X., and Keutzer, K
Cited in the paper.
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search
Wu, B., Dai, X., Zhang, P., Wang, Y., Sun, F., Wu, Y., Tian, Y., Vajda, P., Jia, Y., and Keutzer, K · 2019
Later among the works it cites.