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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )
AND、OR、NOT

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters

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DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「http://dx.doi.org/」 「 http://dx.doi.org/ 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registrationdoi.airiti.com ) 。

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Abstract 〈TOP〉
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Reference ( 120 ) 〈TOP〉
  1. [Afify et al. 2007] Mohamed Afify, Olivier Siohan, Ruhi Sarikaya, "Gaussian Mixture Language Models for Speech Recognition", ICASSP 2007
    連結:
  2. [Akita and Kawahara 2004] Yuya Akita, Tatsuya Kawahara, “Language Model Adaptation based on PLSA of Topics and Speakers”, ICSLP 2004
    連結:
  3. [Alpaydin 2004] Ethem Alpaydin, Introduction to Machine Learning, The MIT Press, 2004
    連結:
  4. [Atal 1974] B. S. Atal, “Effectiveness of Linear Prediction Characteristics of The Speech Wave for Automatic Speaker Identification and Verification,” Journal of the Acoustical Society of America, Vol. 55, No. 6, pp.1304-1312, 1974.
    連結:
  5. [Aubert 2002] X. Aubert, “An Overview of Decoding Techniques for Large Vocabulary Continuous Speech Recognition,” Computer Speech and Language, Vol. 16, pp. 89-114, 2002.
    連結:
Times Cited (5) 〈TOP〉
  1. 劉鳳萍(2009)。使用鑑別式語言模型於語音辨識結果重新排序。臺灣師範大學資訊工程研究所學位論文。2009。1-84。
  2. 陳冠宇(2010)。主題模型於語音辨識使用之改進。臺灣師範大學資訊工程研究所學位論文。2010。1-175。
  3. 劉家妏(2010)。多種鑑別式語言模型應用於語音辨識之研究。臺灣師範大學資訊工程研究所學位論文。2010。1-70。
  4. 賴敏軒(2011)。實證探究多種鑑別式語言模型於語音辨識之研究。臺灣師範大學資訊工程研究所學位論文。2011。1-68。
  5. 黃邦烜(2012)。遞迴式類神經網路語言模型使用額外資訊於語音辨識之研究。臺灣師範大學資訊工程研究所學位論文。2012。1-78。
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