7 citations · 12 across the 10 of their papers we have counts for
4 papers · 1 filter
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric
Ashish Shrivastava, Arnav Kundu, Chandra Dhir +2
Deep Neural Network--Hidden Markov Model (DNN-HMM) based methods have been successfully used for many always-on keyword spotting algorithms that detect a wake word to trigger a dev…
Stacked 1D convolutional networks for end-to-end small footprint voice trigger detection
Takuya Higuchi, Mohammad Ghasemzadeh, Kisun You +1
We propose a stacked 1D convolutional neural network (S1DCNN) for end-to-end small footprint voice trigger detection in a streaming scenario. Voice trigger detection is an importan…
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering
Saurabh Adya, Vineet Garg, Siddharth Sigtia +2
We consider the design of two-pass voice trigger detection systems. We focus on the networks in the second pass that are used to re-score candidate segments obtained from the first…
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis
Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel +1
We present a method to generate speech from input text and a style vector that is extracted from a reference speech signal in an unsupervised manner, i.e., no style annotation, suc…