Discriminative keyword spotting using triphones information and N-best search-Reference-Cited by-同舟云学术

Discriminative keyword spotting using triphones information and N-best search

Published:2018-01 Issue: Volume:423 Page:157-171
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Tabibian Shima,Akbari Ahmad,Nasersharif Babak

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference72 articles.

1. Lexicon-based word recognition using support vector machine and hidden Markov model;Ahmad,2009

2. A new keyword spotting approach;Bahi,2009

3. Maximum mutual information estimation of hidden Markov model parameters for speech recognition;Bahl,1986

4. Modeling Out-of-Vocabulary Words For Robust Speech Recognition;Bazzi,2002

5. Keyword spotting using support vector machines;Benayed,2002

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lexicon-based probabilistic indexing of handwritten text images;Neural Computing and Applications;2023-05-10

2. An advanced approach for the precise prediction of water quality using a discrete hidden markov model;Journal of Hydrology;2022-06

3. A two-level Item Response Theory model to evaluate speech synthesis and recognition;Speech Communication;2022-02

4. An approach for reducing pitch induced mismatches to detect keywords in children’s speech;Multimedia Tools and Applications;2021-09-16

5. Voice Activation Systems for Embedded Devices: Systematic Literature Review;Informatica;2020