Sequence-to-sequence Models for Small-Footprint Keyword Spotting

Sequence-to-sequence Models for Small-Footprint Keyword Spotting

1 November 2018

Yujun Wang

Papers citing "Sequence-to-sequence Models for Small-Footprint Keyword Spotting"

7 / 7 papers shown

Title
Attention-based End-to-End Models for Small-Footprint Keyword Spotting Changhao Shan Junbo Zhang Yujun Wang Lei Xie AI4TS 38 110 0 29 Mar 2018
State-of-the-art Speech Recognition With Sequence-to-Sequence Models Chung-Cheng Chiu Tara N. Sainath Yonghui Wu Rohit Prabhavalkar Patrick Nguyen ... Katya Gonina Navdeep Jaitly Yue Liu J. Chorowski M. Bacchiani AI4TS 86 1,153 0 05 Dec 2017
Attention-Based Models for Text-Dependent Speaker Verification F. R. Chowdhury Quan Wang Ignacio López Moreno Li Wan 55 172 0 28 Oct 2017
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting Sercan O. Arik Markus Kliegl R. Child Joel Hestness Andrew Gibiansky Christopher Fougner R. Prenger Adam Coates 65 181 0 15 Mar 2017
Trainable Frontend For Robust and Far-Field Keyword Spotting Yuxuan Wang Pascal Getreuer Thad Hughes R. Lyon Rif A. Saurous 74 142 0 19 Jul 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 150,006 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 556 12,692 0 11 Dec 2014