Amanote Research

Amanote Research

    RegisterSign In

The Benefits of Contextual Information for Speech Recognition Systems

doi 10.1109/ceec.2018.8674204
Full Text
Open PDF
Abstract

Available in full text

Date

September 1, 2018

Authors
Martin W. KinchWim J.C. MelisSimeon Keates
Publisher

IEEE


Related search

Contextual Confidence Measures for Continuous Speech Recognition

English

Merging Information Versus Speech Recognition

Behavioral and Brain Sciences
PhysiologyPhysiological PsychologyNeuropsychologyBehavioral Neuroscience
2000English

Real-Time Speech Recognition Systems

1989English

Automatization of the Application Porting Between the Speech Recognition Systems

Scientific and Technical Volga region Bulletin
2018English

Multilingual Speech Recognition for Information Retrieval in Indian Context

2004English

Extracting Accent Information From Urdu Speech for Forensic Speaker Recognition

Turkish Journal of Electrical Engineering and Computer Sciences
Electronic EngineeringElectricalComputer Science
2019English

Mutual Information as an Acoustic Matching Measure for Speech Recognition

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
1996English

Speech Recognition Systems on the Cell Broadband Engine Processor

IBM Journal of Research and Development
Computer Science
2007English

Estimation of Hardware Requirements for Isolated Speech Recognition on an Embedded Systems

International Journal of Electronics and Telecommunications
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy