Continual learning for end-to-end automatic speech recognition has to co...
Voice trigger detection is an important task, which enables activating a...
We address the problem of detecting speech directed to a device that doe...
Keyword spotting (KWS) is an important technique for speech applications...
We present a unified and hardware efficient architecture for two stage v...
We propose dynamic curriculum learning via data parameters for noise rob...
Deep Neural Network–Hidden Markov Model (DNN-HMM) based methods have bee...
We propose a stacked 1D convolutional neural network (S1DCNN) for end-to...
We consider the design of two-pass voice trigger detection systems. We f...
We present a method to generate speech from input text and a style vecto...