Hidden Conditional Neural Fields for Continuous Phoneme Speech Recognition

IEICE Transactions on Information and Systems- Japan

doi 10.1587/transinf.e95.d.2094

Full Text

Abstract

Available in

Date

Authors

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Related search

Max-Margin Hidden Conditional Random Fields for Human Action Recognition

2009English

Fuzzy Latent-Dynamic Conditional Neural Fields for Gesture Recognition in Video

International Journal on Information and Communication Technology (IJoICT)
2017English

Modulation Frequency Features for Phoneme Recognition in Noisy Speech

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
2009English

Speech Recognition on an FPGA Using Discrete and Continuous Hidden Markov Models

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

Multi-Resolution Cepstral Features for Phoneme Recognition Across Speech Sub-Bands

English

Neural Networks Used for Speech Recognition

Journal of Automatic Control
2010English

Contextual Confidence Measures for Continuous Speech Recognition

English

Research in Continuous Speech Recognition

1990English

Automatic Speech Recognition With Deep Neural Networks for Impaired Speech

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy