In speech recognition, confidence measures (CM) are used to evaluate reliability of
recognition results. A good confidence measure can largely benefit speech recognition …

This paper examines how people communicate with computers using speech. Automatic
speech recognition (ASR) transforms speech into text, while automatic speech synthesis [or …

Systems, devices, and methods for using Multi-Pattern Vit erbi Algorithm for joint decoding of
multiple patterns are disclosed. An exemplary method may receive a plurality of sets of time …

In the future, the world of telecommunications will be vastly different than it is today. The
driving force will be the seamless integration of real time communications (eg voice, video …

This paper addresses the problem of Computer-Aided Speech and Language Therapy
(CASLT). The goal of the work described in the paper is to develop and evaluate a semi …

The past decade has witnessed a growing interest in deploying automatic speech
recognition (ASR) in communication networks. The networks such as wireless networks …

In the last years, deep bidirectional recurrent neural networks (DBRNN) and DBRNN with
long short-term memory cells (DBLSTM) have outperformed the most accurate classifiers for …

Confidence estimation has been largely used in speech recognition to detect words in the
recognized sentence that have been likely misrecognized. Confidence estimation can be …

This paper introduces Vocaliza, a software application for computer-aided speech therapy in
Spanish language. The objective of this application is to help the daily work of the speech …

This paper presents a brief survey of Automatic Speech Recognition (ASR) and discusses
the major themes and advances made in the past 70 years of research, so as to provide a …