Computer-assisted transcription of speech based on confusion network reordering

被引：0

作者：

Laurent, Antoine ^{[1
]}

Meignier, Sylvain ^{[1
]}

Merlin, Teva ^{[1
]}

Deleglise, Paul ^{[1
]}

机构：

[1] Univ Maine, LIUM, Res Ctr Comp Sci, F-72017 Le Mans, France

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年

关键词：

Speech recognition; Automatic correction; Cache models; Confusion network; TRANSLATION; RECOGNITION;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Large vocabulary automatic speech recognition (ASR) technologies perform well in known and controlled contexts. In less controlled conditions, however, human review is often necessary to check and correct the results of such systems in order to ensure that the output of ASR will be understandable. We propose a method for computer-assisted transcription of speech, based on automatic reordering confusion networks. Our method will be evaluated in terms of KSR (Keystroke Saving Rate) and WSR (Word Stroke Ratio). It allows to significantly reduce the number of actions needed to correct ASR outputs. WSR computed before and after every network reordering shows a gain of about 17.7% (3.4 points).

引用

页码：4884 / 4887

页数：4

共 50 条

[21] Confusion analysis in phoneme based speech recognition in Hindi
Bhatt, Shobha
Dev, Amita
Jain, Anurag
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (10) : 4213 - 4238
[22] Spoken Document Retrieval Based on Confusion Network with Syllable Fragments
Lei, Zhang
Gotoh, Yoshihiko
Khan, Muhammad Usman Ghani
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2012, 9
[23] Gold-standard for computer-assisted morphological sperm analysis
Chang, Violeta
Garcia, Alejandra
Hitschfeld, Nancy
Hartel, Steffen
COMPUTERS IN BIOLOGY AND MEDICINE, 2017, 83 : 143 - 150
[24] An Analysis on Computer-Assisted Translation through Google Translator Toolkit
张嵩松
校园英语, 2018, (01) : 212 - 213
[25] Development of basic reading skills in Latin: a corpus-based tool for computer-assisted fluency training
Kuehnast, Milena
Schulz, Konstantin
Luedeling, Anke
COGENT EDUCATION, 2024, 11 (01):
[26] EFFECTS ON LEARNING LOGOGRAPHIC CHARACTER FORMATION IN COMPUTER-ASSISTED HANDWRITING INSTRUCTION
Tsai, Chen-hui
Kuo, Chin-Hwa
Horng, Wen-Bing
Chen, Chun-Wen
LANGUAGE LEARNING & TECHNOLOGY, 2012, 16 (01): : 110 - 130
[27] Phone-level Mispronunciation Detection for Computer-Assisted Language Learning
Feng, Xin
Wang, Lan
PROCEEDINGS OF THE 2008 CHINESE CONFERENCE ON PATTERN RECOGNITION (CCPR 2008), 2008, : 396 - +
[28] Identification of Erythrocyte Types in Greyscale MGG Images for Computer-Assisted Diagnosis
Frejlichowski, Dariusz
PATTERN RECOGNITION AND IMAGE ANALYSIS: 5TH IBERIAN CONFERENCE, IBPRIA 2011, 2011, 6669 : 636 - 643
[29] Computer-assisted closed-captioning of live TV broadcasts in French
Boulianne, G.
Beaumont, J. -F.
Boisvert, M.
Brousseau, J.
Cardinal, P.
Chapdelaine, C.
Comeau, M.
Ouellet, P.
Osterrath, F.
INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, 2006, : 273 - 276
[30] ANALYSIS OF PHONE CONFUSION IN EMG-BASED SPEECH RECOGNITION
Wand, Michael
Schultz, Tanja
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 757 - 760

← 1 2 3 4 5 →