Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification
暂无分享,去创建一个
Komail M. H. Badami | Steven Lauwereins | Marian Verhelst | Komail Badami | Juan Sebastian P. Giraldo | J. S. P. Giraldo | M. Verhelst | Steven Lauwereins
[1] Leibo Liu,et al. A 141 UW, 2.46 PJ/Neuron Binarized Convolutional Neural Network Based Self-Learning Speech Recognition Processor in 28NM CMOS , 2018, 2018 IEEE Symposium on VLSI Circuits.
[2] Douglas A. Reynolds,et al. An overview of automatic speaker recognition technology , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[3] A. Balaji Ganesh,et al. Speaker Identification System using Gaussian Mixture Model and Support Vector Machines (GMM-SVM) under Noisy Conditions , 2016 .
[4] Marian Verhelst,et al. Laika: A 5uW Programmable LSTM Accelerator for Always-on Keyword Spotting in 65nm CMOS , 2018, ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference (ESSCIRC).
[5] Tan Lee,et al. Speech recognition on DSP: issues on computational efficiency and performance analysis , 2005, Proceedings. 2005 International Conference on Communications, Circuits and Systems, 2005..
[6] Lukás Burget,et al. Support vector machines and Joint Factor Analysis for speaker verification , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[7] Kai Yu,et al. Sequence Discriminative Training for Deep Learning based Acoustic Keyword Spotting , 2018, Speech Commun..
[8] Nikko Strom,et al. Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting , 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).
[9] Rita Singh,et al. Online word-spotting in continuous speech with recurrent neural networks , 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).
[10] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[11] Song Han,et al. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding , 2015, ICLR.
[12] Marian Verhelst,et al. A 90 nm CMOS, $6\ {\upmu {\text{W}}}$ Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection , 2016, IEEE Journal of Solid-State Circuits.
[13] Marco Marcon,et al. Studying the Effects of Feature Extraction Settings on the Accuracy and Memory Requirements of Neural Networks for Keyword Spotting , 2018, 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin).