U.S. Naval Research Laboratory, Washington, DC 20375, USA.
IEEE Trans Cybern. 2013 Jun;43(3):957-69. doi: 10.1109/TSMCB.2012.2219524. Epub 2012 Oct 18.
Effective communication with a mobile robot using speech is a difficult problem even when you can control the auditory scene. Robot self-noise or ego noise, echoes and reverberation, and human interference are all common sources of decreased intelligibility. Moreover, in real-world settings, these problems are routinely aggravated by a variety of sources of background noise. Military scenarios can be punctuated by high decibel noise from materiel and weaponry that would easily overwhelm a robot's normal speaking volume. Moreover, in nonmilitary settings, fans, computers, alarms, and transportation noise can cause enough interference to make a traditional speech interface unusable. This work presents and evaluates a prototype robotic interface that uses perspective taking to estimate the effectiveness of its own speech presentation and takes steps to improve intelligibility for human listeners.
即使可以控制听觉场景，使用语音与移动机器人进行有效通信也是一个难题。机器人自身噪声或本底噪声、回声和混响以及人为干扰都是可懂度降低的常见原因。此外，在现实环境中，这些问题通常会因各种背景噪声源而加剧。军事场景中，材料和武器会产生高分贝的噪声，很容易盖过机器人的正常说话音量。此外，在非军事环境中，风扇、计算机、警报器和交通噪声会造成足够的干扰，使传统的语音界面无法使用。本工作提出并评估了一种使用换位思考来估计自身语音表达有效性的机器人接口原型，并采取措施提高人类听众的可懂度。
