GIOL I5/08(2006.01) In some implementations, data that indicates multiple can GIOL
15/18(2013.01) didate transcriptions for an utterance is received. For each of GIOL …

With the growing popularity of smart speakers, such as Amazon Alexa, speech is becoming
one of the most important modes of human-computer interaction. Automatic speech …

ASR short for Automatic Speech Recognition is the process of converting a spoken speech
into text that can be manipulated by a computer. Although ASR has several applications, it is …

Interaction with communication and infotainment systems in the car is common while driving.
Our research investigates modalities and techniques that enable interaction with interactive …

Automatic speech recognition (ASR) systems often make unrecoverable errors due to
subsystem pruning (acoustic, language and pronunciation models); for example, pruning …

At the present time, computers are employed to solve complex tasks and problems ranging
from simple calculations to intensive digital image processing and intricate algorithmic …

Whenever an ASR company promises to deliver error-proof transcripts to the end user,
manual verification and correction of the raw ASR transcripts cannot be avoided. This …

Masked language models have revolutionized natural language processing systems in the
past few years. A recently introduced generalization of masked language models called …

We propose a simple yet effective method for improving speech recognition by reranking the
N-best speech recognition hypotheses using search results. We model N-best reranking as …

This paper proposes a technique to correct speech recognition errors in spoken dialogue
systems that presents two main novel contributions. On the one hand, it considers several …