Speech enhancement a signal subspace perspective
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Oxford
Academic Press
2014
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV042297725 | ||
| 003 | DE-604 | ||
| 005 | 20151102 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 150129s2014 xx o|||| 00||| eng d | ||
| 020 | |a 1306315131 |c electronic bk. |9 1-306-31513-1 | ||
| 020 | |a 9781306315135 |c electronic bk. |9 978-1-306-31513-5 | ||
| 020 | |a 9780128002537 |c electronic bk. |9 978-0-12-800253-7 | ||
| 020 | |a 0128002530 |c electronic bk. |9 0-12-800253-0 | ||
| 020 | |a 9780128001394 |9 978-0-12-800139-4 | ||
| 020 | |a 0128001399 |9 0-12-800139-9 | ||
| 020 | |a 9780128001394 |9 978-0-12-800139-4 | ||
| 035 | |a (ZDB-33-EBS)ocn870677231 | ||
| 035 | |a (OCoLC)1047822383 | ||
| 035 | |a (DE-599)BVBBV042297725 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 | ||
| 082 | 0 | |a 006.4/5 |2 23 | |
| 245 | 1 | 0 | |a Speech enhancement |b a signal subspace perspective |c Jacob Benesty ... [et al.] |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Oxford |b Academic Press |c 2014 | |
| 300 | |a 1 Online-Ressource (1 v.) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for solving this problem are linear filtering, like the classical Wiener filter, and subspace methods. These approaches have traditionally been treated as different classes of methods and have been introduced in somewhat different contexts. Linear filtering methods originate in stochastic processes, while subspace methods have largely been based on developments in numerical linear algebra and matrix approximation theory. This book bridges the gap between these two classes of methods by showing how the ideas behind subspace methods can be incorporated into traditional linear filtering. In the context of subspace methods, the enhancement problem can then be seen as a classical linear filter design problem. This means that various solutions can more easily be compared and their performance bounded and assessed in terms of noise reduction and speech distortion. The book shows how various filter designs can be obtained in this framework, including the maximum SNR, Wiener, LCMV, and MVDR filters, and how these can be applied in various contexts, like in single-channel and multichannel speech enhancement, and in both the time and frequency domains. First short book treating subspace approaches in a unified way for time and frequency domains, single-channel, multichannel, as well as binaural, speech enhancement. Bridges the gap between optimal filtering methods and subspace approaches.Includes original presentation of subspace methods from different perspectives | ||
| 650 | 7 | |a Speech processing systems |2 local | |
| 650 | 7 | |a Signal processing |2 local | |
| 650 | 4 | |a Speech processing systems | |
| 650 | 4 | |a Signal processing | |
| 653 | |a Electronic books | ||
| 700 | 1 | |a Benesty, Jacob |e Sonstige |4 oth | |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9780128001394 |x Verlag |3 Volltext |
| 912 | |a ZDB-33-ESD | ||
| 912 | |a ZDB-33-EBS | ||
| 940 | 1 | |q FAW_PDA_ESD | |
| 940 | 1 | |q FLA_PDA_ESD | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-027734768 | |
Datensatz im Suchindex
| _version_ | 1819293988088184833 |
|---|---|
| any_adam_object | |
| building | Verbundindex |
| bvnumber | BV042297725 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (ZDB-33-EBS)ocn870677231 (OCoLC)1047822383 (DE-599)BVBBV042297725 |
| dewey-full | 006.4/5 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4/5 |
| dewey-search | 006.4/5 |
| dewey-sort | 16.4 15 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 1st ed |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03261nam a2200505zc 4500</leader><controlfield tag="001">BV042297725</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20151102 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">150129s2014 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1306315131</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-306-31513-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781306315135</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-306-31513-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780128002537</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-0-12-800253-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0128002530</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">0-12-800253-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780128001394</subfield><subfield code="9">978-0-12-800139-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0128001399</subfield><subfield code="9">0-12-800139-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780128001394</subfield><subfield code="9">978-0-12-800139-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-EBS)ocn870677231</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1047822383</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042297725</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.4/5</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Speech enhancement</subfield><subfield code="b">a signal subspace perspective</subfield><subfield code="c">Jacob Benesty ... [et al.]</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford</subfield><subfield code="b">Academic Press</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 v.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for solving this problem are linear filtering, like the classical Wiener filter, and subspace methods. These approaches have traditionally been treated as different classes of methods and have been introduced in somewhat different contexts. Linear filtering methods originate in stochastic processes, while subspace methods have largely been based on developments in numerical linear algebra and matrix approximation theory. This book bridges the gap between these two classes of methods by showing how the ideas behind subspace methods can be incorporated into traditional linear filtering. In the context of subspace methods, the enhancement problem can then be seen as a classical linear filter design problem. This means that various solutions can more easily be compared and their performance bounded and assessed in terms of noise reduction and speech distortion. The book shows how various filter designs can be obtained in this framework, including the maximum SNR, Wiener, LCMV, and MVDR filters, and how these can be applied in various contexts, like in single-channel and multichannel speech enhancement, and in both the time and frequency domains. First short book treating subspace approaches in a unified way for time and frequency domains, single-channel, multichannel, as well as binaural, speech enhancement. Bridges the gap between optimal filtering methods and subspace approaches.Includes original presentation of subspace methods from different perspectives</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Speech processing systems</subfield><subfield code="2">local</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Signal processing</subfield><subfield code="2">local</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Speech processing systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal processing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Electronic books</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Benesty, Jacob</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9780128001394</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-EBS</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FAW_PDA_ESD</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FLA_PDA_ESD</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027734768</subfield></datafield></record></collection> |
| id | DE-604.BV042297725 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-24T04:19:09Z |
| institution | BVB |
| isbn | 1306315131 9781306315135 9780128002537 0128002530 9780128001394 0128001399 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027734768 |
| oclc_num | 870677231 1047822383 |
| open_access_boolean | |
| owner | DE-1046 |
| owner_facet | DE-1046 |
| physical | 1 Online-Ressource (1 v.) |
| psigel | ZDB-33-ESD ZDB-33-EBS FAW_PDA_ESD FLA_PDA_ESD |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Academic Press |
| record_format | marc |
| spelling | Speech enhancement a signal subspace perspective Jacob Benesty ... [et al.] 1st ed Oxford Academic Press 2014 1 Online-Ressource (1 v.) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for solving this problem are linear filtering, like the classical Wiener filter, and subspace methods. These approaches have traditionally been treated as different classes of methods and have been introduced in somewhat different contexts. Linear filtering methods originate in stochastic processes, while subspace methods have largely been based on developments in numerical linear algebra and matrix approximation theory. This book bridges the gap between these two classes of methods by showing how the ideas behind subspace methods can be incorporated into traditional linear filtering. In the context of subspace methods, the enhancement problem can then be seen as a classical linear filter design problem. This means that various solutions can more easily be compared and their performance bounded and assessed in terms of noise reduction and speech distortion. The book shows how various filter designs can be obtained in this framework, including the maximum SNR, Wiener, LCMV, and MVDR filters, and how these can be applied in various contexts, like in single-channel and multichannel speech enhancement, and in both the time and frequency domains. First short book treating subspace approaches in a unified way for time and frequency domains, single-channel, multichannel, as well as binaural, speech enhancement. Bridges the gap between optimal filtering methods and subspace approaches.Includes original presentation of subspace methods from different perspectives Speech processing systems local Signal processing local Speech processing systems Signal processing Electronic books Benesty, Jacob Sonstige oth http://www.sciencedirect.com/science/book/9780128001394 Verlag Volltext |
| spellingShingle | Speech enhancement a signal subspace perspective Speech processing systems local Signal processing local Speech processing systems Signal processing |
| title | Speech enhancement a signal subspace perspective |
| title_auth | Speech enhancement a signal subspace perspective |
| title_exact_search | Speech enhancement a signal subspace perspective |
| title_full | Speech enhancement a signal subspace perspective Jacob Benesty ... [et al.] |
| title_fullStr | Speech enhancement a signal subspace perspective Jacob Benesty ... [et al.] |
| title_full_unstemmed | Speech enhancement a signal subspace perspective Jacob Benesty ... [et al.] |
| title_short | Speech enhancement |
| title_sort | speech enhancement a signal subspace perspective |
| title_sub | a signal subspace perspective |
| topic | Speech processing systems local Signal processing local Speech processing systems Signal processing |
| topic_facet | Speech processing systems Signal processing |
| url | http://www.sciencedirect.com/science/book/9780128001394 |
| work_keys_str_mv | AT benestyjacob speechenhancementasignalsubspaceperspective |