Deep bidirectional long short-term memory recurrent neural networks for grapheme-to-phoneme conversion utilizing complex many-to-many alignments
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
In: Understanding speech processing in humans and machines: 17th Annual Conference of the International Speech Communication Association (INTERSPEECH 2016), San Francisco, California, USA, 8-12 September 2016; Volume 4, S. 2836-2840
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
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Universität Augsburg
- (wann)
-
2016
- Ereignis
-
Veröffentlichung
- (wer)
-
ISCA
- (wann)
-
2016
- Urheber
- DOI
-
10.21437/interspeech.2016-1229
- URN
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urn:nbn:de:bvb:384-opus4-720335
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:21 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Mousa, Amr El-Desoky
- Schuller, Björn
- Universität Augsburg
- ISCA
Entstanden
- 2016
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