<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>879aef2c-30bf-421f-bdd8-d093cc6defd1</doi_batch_id><timestamp>20220121062837135</timestamp><depositor><depositor_name>naun:naun</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>International Journal of Circuits, Systems and Signal Processing</full_title><issn media_type="electronic">1998-4464</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.46300/9106</doi><resource>http://www.naun.org/cms.action?id=3029</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>1</month><day>7</day><year>2022</year></publication_date><publication_date media_type="print"><month>1</month><day>7</day><year>2022</year></publication_date><journal_volume><volume>16</volume><doi_data><doi>10.46300/9106.2022.16</doi><resource>https://npublications.com/journals/circuitssystemssignal/2022.php</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>Massive Speech Recognition Resource Scheduling System based on Grid Computing</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Shanshan</given_name><surname>Yang</surname><affiliation>College of Information Engineering, Jiaozuo University, Jiaozuo 454000 China</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Jinjin</given_name><surname>Chao</surname><affiliation>College of Information Engineering, Jiaozuo University, Jiaozuo 454000 China</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>Nowadays, there are too many large-scale speech recognition resources, which makes it difficult to ensure the scheduling speed and accuracy. In order to improve the effect of large-scale speech recognition resource scheduling, a large-scale speech recognition resource scheduling system based on grid computing is designed in this paper. In the hardware part, microprocessor, Ethernet control chip, controller and acquisition card are designed. In the software part of the system, it mainly carries out the retrieval and exchange of information resources, so as to realize the information scheduling of the same type of large-scale speech recognition resources. The experimental results show that the information scheduling time of the designed system is short, up to 2.4min, and the scheduling accuracy is high, up to 90%, in order to provide some help to effectively improve the speed and accuracy of information scheduling.</jats:p></jats:abstract><publication_date media_type="online"><month>1</month><day>7</day><year>2022</year></publication_date><publication_date media_type="print"><month>1</month><day>7</day><year>2022</year></publication_date><pages><first_page>181</first_page><last_page>190</last_page></pages><publisher_item><item_number item_number_type="article_number">22</item_number></publisher_item><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2022-01-07"/><ai:license_ref applies_to="am" start_date="2022-01-07">https://npublications.com/journals/circuitssystemssignal/2022/a442005-022(2022).pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.46300/9106.2022.16.22</doi><resource>https://npublications.com/journals/circuitssystemssignal/2022/a442005-022(2022).pdf</resource></doi_data><citation_list><citation key="ref0"><doi>10.1109/twc.2019.2892128</doi><unstructured_citation>M. 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