Using child directed speech to bootstrap a model based speech segmentation and recognition system
Brandl H, Joublin F (2008) .
Patent
| Veröffentlicht | Englisch
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Erfinder*in
Brandl, Holger;
Joublin, Frank
Einrichtung
Abstract / Bemerkung
he present invention relates to a technique
which exploits the properties of child directed speech to
learn the acoustical structure of speech using distinct
models for each unit of speech. The resulting acoustic
model may e.g. be used for speech segmentation, syllable
detection or speech recognition in multi-modal systems.
Inherent to the invention proposed here is a system
which is able to recognize and learn the structure of
speech, which can find application in automatic speech
recognition systems and synthetic speech synthesizing
systems.
Stichworte
emergence;
speech acquisition
Erscheinungsjahr
2008
Int. Patentnummer
DE 60 2006 010 395.6
Internationale Patent
Klassifikation
Klassifikation
G10L 15/14
Page URI
https://pub.uni-bielefeld.de/record/2607082
Zitieren
Brandl H, Joublin F. Using child directed speech to bootstrap a model based speech segmentation and recognition system. 2008.
Brandl, H., & Joublin, F. (2008). Using child directed speech to bootstrap a model based speech segmentation and recognition system
Brandl, Holger, and Joublin, Frank. 2008. “Using child directed speech to bootstrap a model based speech segmentation and recognition system”.
Brandl, H., and Joublin, F. (2008). Using child directed speech to bootstrap a model based speech segmentation and recognition system.
Brandl, H., & Joublin, F., 2008. Using child directed speech to bootstrap a model based speech segmentation and recognition system.
H. Brandl and F. Joublin, “Using child directed speech to bootstrap a model based speech segmentation and recognition system”, 2008.
Brandl, H., Joublin, F.: Using child directed speech to bootstrap a model based speech segmentation and recognition system. (2008).
Brandl, Holger, and Joublin, Frank. “Using child directed speech to bootstrap a model based speech segmentation and recognition system”. (2008).
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