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  • 1
    Online Resource
    Online Resource
    Berlin/Germany : Logos Verlag Berlin | Berlin, Germany :Logos Verlag Berlin GmbH,
    UID:
    almafu_9959660892502883
    Format: 1 online resource (143 pages) : , digital file(s).
    ISBN: 9783832545437
    Series Statement: Aachener Beiträge zur Akustik
    Content: Human sound localization helps to pay attention to spatially separated speakers using interaural level and time differences as well as angle-dependent monaural spectral cues. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort.
    Note: Based on author's doctoral thesis: Fakultät für Elektrotechnik und Informationstechnik der Rheinischen-Westfälischen Technischen Hochschule Aachen -- title-page recto. , Also available in print form. , In English with front matter in German.
    Additional Edition: Print version: ISBN 3832545433
    Language: English
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  • 2
    UID:
    b3kat_BV044545818
    Format: II, 143 Seiten , Illustrationen , 21 cm
    ISBN: 9783832545437 , 3832545433
    Series Statement: Aachener Beiträge zur Akustik 28
    Note: Dissertation Rheinisch-Westfälische Technische Hochschule Aachen 2017
    Additional Edition: Erscheint auch als Online-Ausgabe Bomhardt, Ramona Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling Berlin : Logos Verlag, 2017
    Language: English
    Subjects: Engineering , Physics
    RVK:
    RVK:
    RVK:
    Keywords: Binaurales Hören ; Äußeres Ohr ; Übertragungsfunktion ; Schallgeber ; Lokalisation ; Raumauflösung ; Sprachwahrnehmung ; Wiedergabetechnik ; Anthropometrie ; Individualisierung ; Hochschulschrift
    Author information: Bomhardt, Ramona 1984-
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Logos Verlag Berlin
    UID:
    gbv_1832356612
    Format: 1 Online-Ressource
    ISBN: 9783832545437
    Content: Human sound localization helps to pay attention to spatially separated speakers using interaural level and time differences as well as angle-dependent monaural spectral cues. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort
    Note: English
    Language: Undetermined
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    gbv_1778558488
    Format: 1 Online-Ressource (153 p.)
    ISBN: 9783832545437
    Series Statement: Aachener Beiträge zur Akustik 28
    Content: Human sound localization helps to pay attention to spatially separated speakers using interaural level and time differences as well as angle-dependent monaural spectral cues. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Berlin/Germany : Logos Verlag Berlin | Berlin, Germany :Logos Verlag Berlin GmbH,
    UID:
    almahu_9948588208802882
    Format: 1 online resource (143 pages) : , digital file(s).
    ISBN: 9783832545437
    Series Statement: Aachener Beiträge zur Akustik
    Content: Human sound localization helps to pay attention to spatially separated speakers using interaural level and time differences as well as angle-dependent monaural spectral cues. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort.
    Note: Based on author's doctoral thesis: Fakultät für Elektrotechnik und Informationstechnik der Rheinischen-Westfälischen Technischen Hochschule Aachen -- title-page recto. , Also available in print form. , In English with front matter in German.
    Additional Edition: Print version: ISBN 3832545433
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Berlin/Germany : Logos Verlag Berlin | Berlin, Germany :Logos Verlag Berlin GmbH,
    UID:
    edocfu_9959660892502883
    Format: 1 online resource (143 pages) : , digital file(s).
    ISBN: 9783832545437
    Series Statement: Aachener Beiträge zur Akustik
    Content: Human sound localization helps to pay attention to spatially separated speakers using interaural level and time differences as well as angle-dependent monaural spectral cues. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort.
    Note: Based on author's doctoral thesis: Fakultät für Elektrotechnik und Informationstechnik der Rheinischen-Westfälischen Technischen Hochschule Aachen -- title-page recto. , Also available in print form. , In English with front matter in German.
    Additional Edition: Print version: ISBN 3832545433
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Online Resource
    Online Resource
    Berlin/Germany : Logos Verlag Berlin | Berlin, Germany :Logos Verlag Berlin GmbH,
    UID:
    edoccha_9959660892502883
    Format: 1 online resource (143 pages) : , digital file(s).
    ISBN: 9783832545437
    Series Statement: Aachener Beiträge zur Akustik
    Content: Human sound localization helps to pay attention to spatially separated speakers using interaural level and time differences as well as angle-dependent monaural spectral cues. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort.
    Note: Based on author's doctoral thesis: Fakultät für Elektrotechnik und Informationstechnik der Rheinischen-Westfälischen Technischen Hochschule Aachen -- title-page recto. , Also available in print form. , In English with front matter in German.
    Additional Edition: Print version: ISBN 3832545433
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    Online Resource
    Online Resource
    [s.l.] :Logos Verlag Berlin,
    UID:
    almahu_9949413644202882
    Format: 1 online resource (1 p.)
    ISBN: 9783832545437
    Content: Human sound localization helps to pay attention to spatially separated speakers using interaural level and time differences as well as angle-dependent monaural spectral cues. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort.
    Language: English
    Keywords: Electronic books.
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