Audio source separation and speech enhancement:
Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and be...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, NJ
John Wiley & Sons
[2018]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119279891/?ar |
| Zusammenfassung: | Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: -Consolidated perspective on audio source separation and speech enhancement.-Both historical perspective and latest advances in the field, e.g. deep neural networks.-Diverse disciplines: array processing, machine learning, and statistical signal processing.-Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs. |
| Beschreibung: | Includes bibliographical references and index. - Description based on online resource; title from PDF title page (Wiley platform, viewed on October 25, 2023) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781119279914 1119279917 9781119279884 1119279887 9781119279860 1119279860 1119279895 9781119279891 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-048520403 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120502.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191206s2018 xx |||||o 00| ||eng c | ||
| 020 | |a 9781119279914 |c epub |9 978-1-119-27991-4 | ||
| 020 | |a 1119279917 |c epub |9 1-119-27991-7 | ||
| 020 | |a 9781119279884 |c pdf |9 978-1-119-27988-4 | ||
| 020 | |a 1119279887 |c pdf |9 1-119-27988-7 | ||
| 020 | |a 9781119279860 |c electronic bk. ; |9 978-1-119-27986-0 | ||
| 020 | |a 1119279860 |c electronic bk. ; |9 1-119-27986-0 | ||
| 020 | |a 1119279895 |9 1-119-27989-5 | ||
| 020 | |a 9781119279891 |9 978-1-119-27989-1 | ||
| 020 | |a 9781119279891 |9 978-1-119-27989-1 | ||
| 035 | |a (DE-627-1)048520403 | ||
| 035 | |a (DE-599)KEP048520403 | ||
| 035 | |a (ORHE)9781119279891 | ||
| 035 | |a (DE-627-1)048520403 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 072 | 7 | |a COM |2 bisacsh | |
| 082 | 0 | |a 006.4/54 |2 23 | |
| 245 | 1 | 0 | |a Audio source separation and speech enhancement |c edited by Emmanuel Vincent, Tuomas Virtanen, Sharon Gannot |
| 264 | 1 | |a Hoboken, NJ |b John Wiley & Sons |c [2018] | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index. - Description based on online resource; title from PDF title page (Wiley platform, viewed on October 25, 2023) | ||
| 520 | |a Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: -Consolidated perspective on audio source separation and speech enhancement.-Both historical perspective and latest advances in the field, e.g. deep neural networks.-Diverse disciplines: array processing, machine learning, and statistical signal processing.-Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs. | ||
| 650 | 0 | |a Speech processing systems | |
| 650 | 0 | |a Automatic speech recognition | |
| 650 | 4 | |a Traitement automatique de la parole | |
| 650 | 4 | |a Reconnaissance automatique de la parole | |
| 650 | 4 | |a COMPUTERS ; General | |
| 650 | 4 | |a Automatic speech recognition | |
| 650 | 4 | |a Speech processing systems | |
| 700 | 1 | |a Vincent, Emmanuel |e HerausgeberIn |4 edt | |
| 700 | 1 | |a Virtanen, Tuomas |e HerausgeberIn |4 edt | |
| 700 | 1 | |a Gannot, Sharon |e HerausgeberIn |4 edt | |
| 776 | 1 | |z 9781119279891 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781119279891 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781119279891/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-048520403 |
|---|---|
| _version_ | 1821494853655068672 |
| adam_text | |
| any_adam_object | |
| author2 | Vincent, Emmanuel Virtanen, Tuomas Gannot, Sharon |
| author2_role | edt edt edt |
| author2_variant | e v ev t v tv s g sg |
| author_facet | Vincent, Emmanuel Virtanen, Tuomas Gannot, Sharon |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)048520403 (DE-599)KEP048520403 (ORHE)9781119279891 |
| dewey-full | 006.4/54 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4/54 |
| dewey-search | 006.4/54 |
| dewey-sort | 16.4 254 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04098cam a22005892 4500</leader><controlfield tag="001">ZDB-30-ORH-048520403</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120502.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191206s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119279914</subfield><subfield code="c">epub</subfield><subfield code="9">978-1-119-27991-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119279917</subfield><subfield code="c">epub</subfield><subfield code="9">1-119-27991-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119279884</subfield><subfield code="c">pdf</subfield><subfield code="9">978-1-119-27988-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119279887</subfield><subfield code="c">pdf</subfield><subfield code="9">1-119-27988-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119279860</subfield><subfield code="c">electronic bk. ;</subfield><subfield code="9">978-1-119-27986-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119279860</subfield><subfield code="c">electronic bk. ;</subfield><subfield code="9">1-119-27986-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119279895</subfield><subfield code="9">1-119-27989-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119279891</subfield><subfield code="9">978-1-119-27989-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119279891</subfield><subfield code="9">978-1-119-27989-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)048520403</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP048520403</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781119279891</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)048520403</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.4/54</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Audio source separation and speech enhancement</subfield><subfield code="c">edited by Emmanuel Vincent, Tuomas Virtanen, Sharon Gannot</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, NJ</subfield><subfield code="b">John Wiley & Sons</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index. - Description based on online resource; title from PDF title page (Wiley platform, viewed on October 25, 2023)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: -Consolidated perspective on audio source separation and speech enhancement.-Both historical perspective and latest advances in the field, e.g. deep neural networks.-Diverse disciplines: array processing, machine learning, and statistical signal processing.-Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Speech processing systems</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Automatic speech recognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Traitement automatique de la parole</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reconnaissance automatique de la parole</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS ; General</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Automatic speech recognition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Speech processing systems</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vincent, Emmanuel</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Virtanen, Tuomas</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gannot, Sharon</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781119279891</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781119279891</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781119279891/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-048520403 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:20:59Z |
| institution | BVB |
| isbn | 9781119279914 1119279917 9781119279884 1119279887 9781119279860 1119279860 1119279895 9781119279891 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | John Wiley & Sons |
| record_format | marc |
| spelling | Audio source separation and speech enhancement edited by Emmanuel Vincent, Tuomas Virtanen, Sharon Gannot Hoboken, NJ John Wiley & Sons [2018] ©2018 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on online resource; title from PDF title page (Wiley platform, viewed on October 25, 2023) Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: -Consolidated perspective on audio source separation and speech enhancement.-Both historical perspective and latest advances in the field, e.g. deep neural networks.-Diverse disciplines: array processing, machine learning, and statistical signal processing.-Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs. Speech processing systems Automatic speech recognition Traitement automatique de la parole Reconnaissance automatique de la parole COMPUTERS ; General Vincent, Emmanuel HerausgeberIn edt Virtanen, Tuomas HerausgeberIn edt Gannot, Sharon HerausgeberIn edt 9781119279891 Erscheint auch als Druck-Ausgabe 9781119279891 |
| spellingShingle | Audio source separation and speech enhancement Speech processing systems Automatic speech recognition Traitement automatique de la parole Reconnaissance automatique de la parole COMPUTERS ; General |
| title | Audio source separation and speech enhancement |
| title_auth | Audio source separation and speech enhancement |
| title_exact_search | Audio source separation and speech enhancement |
| title_full | Audio source separation and speech enhancement edited by Emmanuel Vincent, Tuomas Virtanen, Sharon Gannot |
| title_fullStr | Audio source separation and speech enhancement edited by Emmanuel Vincent, Tuomas Virtanen, Sharon Gannot |
| title_full_unstemmed | Audio source separation and speech enhancement edited by Emmanuel Vincent, Tuomas Virtanen, Sharon Gannot |
| title_short | Audio source separation and speech enhancement |
| title_sort | audio source separation and speech enhancement |
| topic | Speech processing systems Automatic speech recognition Traitement automatique de la parole Reconnaissance automatique de la parole COMPUTERS ; General |
| topic_facet | Speech processing systems Automatic speech recognition Traitement automatique de la parole Reconnaissance automatique de la parole COMPUTERS ; General |
| work_keys_str_mv | AT vincentemmanuel audiosourceseparationandspeechenhancement AT virtanentuomas audiosourceseparationandspeechenhancement AT gannotsharon audiosourceseparationandspeechenhancement |