Progress in the BBN 2007 Mandarin Speech to Text system
In this paper, we describe the BBN 2007 Mandarin speech-to-text system developed for the GALE Evaluation 2007. In comparison to the BBN 2006 Mandarin system, we achieved 25% relative reduction in character error rate on the most important test sets. The utilization of all available training data pro...
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creator | Ng, T. Bing Zhang Nguyen, K. Long Nguyen |
description | In this paper, we describe the BBN 2007 Mandarin speech-to-text system developed for the GALE Evaluation 2007. In comparison to the BBN 2006 Mandarin system, we achieved 25% relative reduction in character error rate on the most important test sets. The utilization of all available training data provided the largest contribution to the improvement. The use of a better pitch tracking algorithm also contributed significantly, while system combination made some noticeable improvement too. |
doi_str_mv | 10.1109/ICASSP.2008.4517915 |
format | Conference Proceeding |
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In comparison to the BBN 2006 Mandarin system, we achieved 25% relative reduction in character error rate on the most important test sets. The utilization of all available training data provided the largest contribution to the improvement. The use of a better pitch tracking algorithm also contributed significantly, while system combination made some noticeable improvement too.</description><subject>Acoustic testing</subject><subject>Broadcasting</subject><subject>Decoding</subject><subject>Error analysis</subject><subject>Mandarin</subject><subject>Natural languages</subject><subject>pitch</subject><subject>Speech analysis</subject><subject>Speech recognition</subject><subject>system combination</subject><subject>System testing</subject><subject>Training data</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>9781424414833</isbn><isbn>1424414830</isbn><isbn>1424414849</isbn><isbn>9781424414840</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UMtOwzAQNC-JUvIFvfgHErz2OvYeaUUBqUClFIlblceaBtGH4hzo3xOJMpeRZjS7oxFiAioDUHT3PLsvimWmlfIZWnAE9kzcAGpEQI90LkbaOEqB1MeFSMj5f8-YSzECq1WaA9K1SGL8UgPQGkt2JNyy2392HKNsd7LfsJxOX-Xwx8mXcteU3aAWB-Z6I_u9XPFPL-Mx9ry9FVeh_I6cnHgs3ucPq9lTunh7HNou0hac7dO6DDogN5ZzXwdGWwExc8iNp7xGAEuqUr5pECh4xVUdUDvUOdkq1GVjxmLyd7cdYutD127L7rg-bWB-Aa8OSpM</recordid><startdate>200803</startdate><enddate>200803</enddate><creator>Ng, T.</creator><creator>Bing Zhang</creator><creator>Nguyen, K.</creator><creator>Long Nguyen</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200803</creationdate><title>Progress in the BBN 2007 Mandarin Speech to Text system</title><author>Ng, T. ; Bing Zhang ; Nguyen, K. ; Long Nguyen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-caf2f4ed5e68cfe45b19eeef63896c411590b08dd419f80ebcf42742695bfcad3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acoustic testing</topic><topic>Broadcasting</topic><topic>Decoding</topic><topic>Error analysis</topic><topic>Mandarin</topic><topic>Natural languages</topic><topic>pitch</topic><topic>Speech analysis</topic><topic>Speech recognition</topic><topic>system combination</topic><topic>System testing</topic><topic>Training data</topic><toplevel>online_resources</toplevel><creatorcontrib>Ng, T.</creatorcontrib><creatorcontrib>Bing Zhang</creatorcontrib><creatorcontrib>Nguyen, K.</creatorcontrib><creatorcontrib>Long Nguyen</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ng, T.</au><au>Bing Zhang</au><au>Nguyen, K.</au><au>Long Nguyen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Progress in the BBN 2007 Mandarin Speech to Text system</atitle><btitle>2008 IEEE International Conference on Acoustics, Speech and Signal Processing</btitle><stitle>ICASSP</stitle><date>2008-03</date><risdate>2008</risdate><spage>1537</spage><epage>1540</epage><pages>1537-1540</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>9781424414833</isbn><isbn>1424414830</isbn><eisbn>1424414849</eisbn><eisbn>9781424414840</eisbn><abstract>In this paper, we describe the BBN 2007 Mandarin speech-to-text system developed for the GALE Evaluation 2007. In comparison to the BBN 2006 Mandarin system, we achieved 25% relative reduction in character error rate on the most important test sets. The utilization of all available training data provided the largest contribution to the improvement. The use of a better pitch tracking algorithm also contributed significantly, while system combination made some noticeable improvement too.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2008.4517915</doi><tpages>4</tpages></addata></record> |
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subjects | Acoustic testing Broadcasting Decoding Error analysis Mandarin Natural languages pitch Speech analysis Speech recognition system combination System testing Training data |
title | Progress in the BBN 2007 Mandarin Speech to Text system |
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