Although transfer learning has been shown to be successful for tasks like object and speech
recognition, its applicability to question answering (QA) has yet to be well-studied. In this …

This paper proposes an efficient speech emotion recognition (SER) approach that utilizes
personal voice data accumulated on personal devices. A representative weakness of …

The Spoken Web, an interconnected collection of spoken content accessed through audio-
only mobile phones, holds the promise of transforming information access for users in …

Speaker adaptation transforms the standard speaker-independent acoustic models into an
adapted model relevant to the user (called the target speaker) in order to provide reliable …

Supervised approaches can learn a spoken document summarizer generating high-quality
summaries using a set of training examples matched to the domain of target documents …

Automatic speech recognition (ASR) technology has matured over the past few decades and
has made significant impacts in a variety of fields, from assistive technologies to commercial …

This paper proposes a fast unsupervised acoustic model adaptation technique with efficient
statistics accumulation for speech recognition. Conventional adaptation techniques …

This paper examines the application of lattice adaptation techniques to speaker-dependent
models for the purpose of conversational telephone speech transcription. Given sufficient …

Mismatches between application and training data greatly reduce the performance of
automatic speech recognition (ASR) systems. However, collecting suitable amounts of in …