Dokument öffnen
|
Allgemeine Angaben |
| Autor |
Lee, Heungkyu |
| Erschienen |
InTech Open Access Publisher, 2013
|
| Ausgabe |
|
| Umfang |
|
| ISBN |
|
| Kurzbeschreibung |
This paper proposes a method for the
simultaneous separation and recognition of speech
mixtures in noisy environments using two‐channel based
independent vector analysis (IVA) on a home‐robot
cleaner. The issues to be considered in our target
application are speech recognition at a distance and noise
removal to cope with a variety of noises, including TV
sounds, air conditioners, babble, and so on, that can occur
in a house, where people can utter a voice command to
control a robot cleaner at any time and at any location,
even while a robot cleaner is moving. Thus, the system
should always be in a recognition‐ready state to promptly
recognize a spoken word at any time, and the false
acceptance rate should be lower. To cope with these
issues, the keyword spotting technique is applied. In
addition, a microphone alignment method and a modelbased
real‐time IVA approach are proposed to effectively
and simultaneously process the speech and noise sources,
as well as to cover 360‐degree directions irrespective of
distance. From the experimental evaluations, we show
that the proposed method is robust in terms of speech
recognition accuracy, even when the speaker location is
unfixed and changes all the time. In addition, the
proposed method shows good performance in severely
noisy environments. |
|
| |
|
International Journal of Advanced Robotic Systems
Autor: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Erschienen: 2004
|
|
Newsletter
DMG-Lib
Europeana
PDF
Univ. Cassino
