Evaluating spoken language model based on filler prediction model in speech recognition

Mapping Intimacies ◽

10.21437/interspeech.2008-256 ◽

2008 ◽

Author(s):

Kengo Ohta ◽

Masatoshi Tsuchiya ◽

Seiichi Nakagawa

Keyword(s):

Speech Recognition ◽

Prediction Model ◽

Language Model ◽

Spoken Language ◽

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Syllable and language model based features for detecting non-scorable tests in spoken language proficiency assessment applications

10.3115/v1/w14-1811 ◽

2014 ◽

Author(s):

Angeliki Metallinou ◽

Jian Cheng

Keyword(s):

Language Proficiency ◽

Language Model ◽

Spoken Language ◽

Model Based ◽

Proficiency Assessment

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Construction of spoken language model including fillers using filler prediction model

10.21437/interspeech.2007-431 ◽

2007 ◽

Author(s):

Kengo Ohta ◽

Masatoshi Tsuchiya ◽

Seiichi Nakagawa

Keyword(s):

Prediction Model ◽

Language Model ◽

Spoken Language

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N-gram Language Model Based on Multi-Word Expressions in Web Documents for Speech Recognition and Closed-Captioning

2012 International Conference on Asian Language Processing ◽

10.1109/ialp.2012.55 ◽

2012 ◽

Author(s):

Shinya Takahashi ◽

Tsuyoshi Morimoto

Keyword(s):

Speech Recognition ◽

Language Model ◽

Web Documents ◽

Closed Captioning ◽

Model Based ◽

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N-gram adaptation using Dirichlet class language model based on part-of-speech for speech recognition

2013 21st Iranian Conference on Electrical Engineering (ICEE) ◽

10.1109/iraniancee.2013.6599642 ◽

2013 ◽

Author(s):

Ali Hatami ◽

Ahmad Akbari ◽

Babak Nasersharif

Keyword(s):

Speech Recognition ◽

Language Model ◽

Model Based ◽

Part Of Speech ◽

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Language Model Based on Word Order Sensitive Matrix Representation in Latent Semantic Analysis for Speech Recognition

2009 WRI World Congress on Computer Science and Information Engineering ◽

10.1109/csie.2009.353 ◽

2009 ◽

Author(s):

Welly Naptali ◽

Masatoshi Tsuchiya ◽

Seiichi Nakagawa

Keyword(s):

Speech Recognition ◽

Latent Semantic Analysis ◽

Semantic Analysis ◽

Matrix Representation ◽

Language Model ◽

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Accelerating Recurrent Neural Network Language Model Based Online Speech Recognition System

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8462334 ◽

2018 ◽

Author(s):

Kyungmin Lee ◽

Chiyoun Park ◽

Namhoon Kim ◽

Jaewon Lee

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Recurrent Neural Network ◽

Language Model ◽

Recognition System ◽

Speech Recognition System ◽

Model Based ◽

Network Language

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Language Model based on VCCV and Test of Smoothing Techniques for Sentence Speech Recognition

The KIPS Transactions PartB ◽

10.3745/kipstb.2004.11b.2.241 ◽

2004 ◽

Vol 11B (2) ◽

pp. 241-246

Keyword(s):

Speech Recognition ◽

Language Model ◽

Smoothing Techniques ◽

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A Language Model Based Pseudo-Sample Deliberation for Semi-supervised Speech Recognition

10.1109/ijcnn52387.2021.9533793 ◽

2021 ◽

Author(s):

Cheng Yi ◽

Jianzong Wang ◽

Ning Cheng ◽

Shiyu Zhou ◽

Bo Xu

Keyword(s):

Speech Recognition ◽

Language Model ◽

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Topic-Specific Language Model Based on Graph Spectral Approach for Speech Recognition

Lecture Notes in Electrical Engineering - Trends in Intelligent Systems and Computer Engineering ◽

10.1007/978-0-387-74935-8_35 ◽

2008 ◽

pp. 497-514 ◽

Author(s):

Shinya Takahashi

Keyword(s):

Speech Recognition ◽

Language Model ◽

Spectral Approach ◽

Specific Language ◽

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Language Model Based Non-speech Recognition Method

2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) ◽

10.1109/icspcc46631.2019.8960814 ◽

2019 ◽

Author(s):

Qinglin Zhang ◽

Jianfeng Chen ◽

Jisheng Bai

Keyword(s):

Speech Recognition ◽

Language Model ◽

Recognition Method ◽

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