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General information |
| Author |
Morales, Santiago Omar Caballero; Enríquez, Gladys Bonilla; Romero, Felipe Trujillo |
| Published |
InTech Open Access Publisher, 2013
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| Abstract |
Dysarthria is a motor speech disorder due to
weakness or poor coordination of the speech muscles.
This condition can be caused by a stroke, traumatic brain
injury, or by a degenerative neurological disease.
Commonly, people with this disorder also have muscular
dystrophy, which restricts their use of switches or
keyboards for communication or control of assistive
devices (i.e., an electric wheelchair or a service robot). In
this case, speech recognition is an attractive alternative
for interaction and control of service robots, despite the
difficulty of achieving robust recognition performance. In
this paper we present a speech recognition system for
human and service robot interaction for Mexican Spanish
dysarthric speakers. The core of the system consisted of a
Speaker Adaptive (SA) recognition system trained with
normal‐speech. Features such as on‐line control of the
language model perplexity and the adding of vocabulary,
contribute to high recognition performance. Others, such
as assessment and text‐to‐speech (TTS) synthesis,
contribute to a more complete interaction with a service
robot. Live tests were performed with two mild
dysarthric speakers, achieving recognition accuracies of
90‐95% for spontaneous speech and 95‐100% of
accomplished simulated service robot tasks. |
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International Journal of Advanced Robotic Systems
Author: 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, [...]
Published: 2004
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