The ETSI extended distributed speech recognition (DSR) standards: server-side speech reconstruction
In this paper we present work that has been carried out in developing the ETSI Extended DSR standards ES 202 211 and ES 202 212. These standards extend the previous ETSI DSR standards: basic front-end ES 201 108 and advanced (noise robust) front-end ES 202 050 respectively. The extensions enable enh...
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| creator | Ramabadran, T. Sorin, A. McLaughlin, M. Chazan, D. Pearce, D. Hoory, R. |
| description | In this paper we present work that has been carried out in developing the ETSI Extended DSR standards ES 202 211 and ES 202 212. These standards extend the previous ETSI DSR standards: basic front-end ES 201 108 and advanced (noise robust) front-end ES 202 050 respectively. The extensions enable enhanced tonal language recognition as well as server-side speech reconstruction capability. This paper discusses the server-side speech reconstruction whereas a companion paper discusses the front-end extension and tonal language recognition. Experimental results show that the reconstructed speech produced by the standards is highly intelligible under clean and noisy background conditions with the DRT (diagnostic rhyme test) and TT (transcription test) scores meeting or exceeding the objective values corresponding to the USA DoD (Department of Defence) federal standard MELP (mixed-excitation linear predictive) coder operating at 2400 bit/s. |
| doi_str_mv | 10.1109/ICASSP.2004.1325920 |
| format | Conference Proceeding |
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These standards extend the previous ETSI DSR standards: basic front-end ES 201 108 and advanced (noise robust) front-end ES 202 050 respectively. The extensions enable enhanced tonal language recognition as well as server-side speech reconstruction capability. This paper discusses the server-side speech reconstruction whereas a companion paper discusses the front-end extension and tonal language recognition. Experimental results show that the reconstructed speech produced by the standards is highly intelligible under clean and noisy background conditions with the DRT (diagnostic rhyme test) and TT (transcription test) scores meeting or exceeding the objective values corresponding to the USA DoD (Department of Defence) federal standard MELP (mixed-excitation linear predictive) coder operating at 2400 bit/s.</description><identifier>ISSN: 1520-6149</identifier><identifier>ISBN: 9780780384842</identifier><identifier>ISBN: 0780384849</identifier><identifier>EISSN: 2379-190X</identifier><identifier>DOI: 10.1109/ICASSP.2004.1325920</identifier><language>eng</language><publisher>Piscataway, N.J: IEEE</publisher><subject>Applied sciences ; Biological and medical sciences ; Code standards ; Coding, codes ; Computerized, statistical medical data processing and models in biomedicine ; Exact sciences and technology ; Humans ; Information, signal and communications theory ; Medical management aid. 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Experimental results show that the reconstructed speech produced by the standards is highly intelligible under clean and noisy background conditions with the DRT (diagnostic rhyme test) and TT (transcription test) scores meeting or exceeding the objective values corresponding to the USA DoD (Department of Defence) federal standard MELP (mixed-excitation linear predictive) coder operating at 2400 bit/s.</description><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Code standards</subject><subject>Coding, codes</subject><subject>Computerized, statistical medical data processing and models in biomedicine</subject><subject>Exact sciences and technology</subject><subject>Humans</subject><subject>Information, signal and communications theory</subject><subject>Medical management aid. 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Diagnosis aid</topic><topic>Medical sciences</topic><topic>Natural languages</topic><topic>Noise robustness</topic><topic>Reconstruction algorithms</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>Speech analysis</topic><topic>Speech processing</topic><topic>Speech recognition</topic><topic>Standards development</topic><topic>Telecommunication standards</topic><topic>Telecommunications and information theory</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Ramabadran, T.</creatorcontrib><creatorcontrib>Sorin, A.</creatorcontrib><creatorcontrib>McLaughlin, M.</creatorcontrib><creatorcontrib>Chazan, D.</creatorcontrib><creatorcontrib>Pearce, D.</creatorcontrib><creatorcontrib>Hoory, R.</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><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ramabadran, T.</au><au>Sorin, A.</au><au>McLaughlin, M.</au><au>Chazan, D.</au><au>Pearce, D.</au><au>Hoory, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The ETSI extended distributed speech recognition (DSR) standards: server-side speech reconstruction</atitle><btitle>2004 IEEE International Conference on Acoustics, Speech, and Signal Processing</btitle><stitle>ICASSP</stitle><date>2004</date><risdate>2004</risdate><volume>1</volume><spage>I</spage><epage>53</epage><pages>I-53</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>9780780384842</isbn><isbn>0780384849</isbn><abstract>In this paper we present work that has been carried out in developing the ETSI Extended DSR standards ES 202 211 and ES 202 212. These standards extend the previous ETSI DSR standards: basic front-end ES 201 108 and advanced (noise robust) front-end ES 202 050 respectively. The extensions enable enhanced tonal language recognition as well as server-side speech reconstruction capability. This paper discusses the server-side speech reconstruction whereas a companion paper discusses the front-end extension and tonal language recognition. Experimental results show that the reconstructed speech produced by the standards is highly intelligible under clean and noisy background conditions with the DRT (diagnostic rhyme test) and TT (transcription test) scores meeting or exceeding the objective values corresponding to the USA DoD (Department of Defence) federal standard MELP (mixed-excitation linear predictive) coder operating at 2400 bit/s.</abstract><cop>Piscataway, N.J</cop><pub>IEEE</pub><doi>10.1109/ICASSP.2004.1325920</doi></addata></record> |
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| identifier | ISSN: 1520-6149 |
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| issn | 1520-6149 2379-190X |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Applied sciences Biological and medical sciences Code standards Coding, codes Computerized, statistical medical data processing and models in biomedicine Exact sciences and technology Humans Information, signal and communications theory Medical management aid. Diagnosis aid Medical sciences Natural languages Noise robustness Reconstruction algorithms Signal and communications theory Signal processing Speech analysis Speech processing Speech recognition Standards development Telecommunication standards Telecommunications and information theory Testing |
| title | The ETSI extended distributed speech recognition (DSR) standards: server-side speech reconstruction |
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