Over the past few decades, there has been tremendous development in machine learning
paradigms used in automatic speech recognition (ASR) for home automation to space …

Keyword spotting (KWS) is a critical component for enabling speech based user interactions
on smart devices. It requires real-time response and high accuracy for good user …

Despite the close relationship between speech perception and production, research in
automatic speech recognition (ASR) and text-to-speech synthesis (TTS) has progressed …

Theory and Applications of Digital Speech Processing is ideal for graduate students in
digital signal processing, and undergraduate students in Electrical and Computer …

This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …

With the growing impact of information technology on daily life, speech is becoming
increasingly important for providing a natural means of communication between humans …

Designing a machine that mimics human behavior, particularly the capability of speaking
naturally and responding properly to spoken language, has intrigued engineers and …

We are interested in providing automated services via natural spoken dialog systems. By
natural, we mean that the machine understands and acts upon what people actually say, in …

The goal of keyword spotting is to detect the presence of specific spoken words in
unconstrained speech. The majority of keyword spotting systems are based on generative …

Abstract We propose improved Deep Neural Network (DNN) training loss functions for more
accurate single keyword spotting on resource-constrained embedded devices. The loss …