SBIR Phase I: A Noise Canceller for Enabling Speech Recognition in Noisy Environments

9861548信号分离技术公司（SST）的小企业创新研究第一阶段项目应用降噪技术，使语音识别系统在汽车等嘈杂环境中更有效地工作，此外，语音麦克风的免提操作是一种理想的功能，例如，对汽车电话的语音命令，对汽车电话的通话，以及非紧急命令操作窗口。基于美国陆军SBIR合同下的基于奇异值分解（sr - svd）的消噪器的无信号参考，这种新型高效消噪算法现在被认为能够解决噪声环境问题。当应用噪声消除时，将通过测量正确解释命令的百分比的改进来评估所提出的应用。语音识别系统正受到相当多的关注，正如《商业周刊》1998年特别报道的副标题“语音技术是计算机领域的下一件大事”所反映的那样，该报道讨论了语音识别和软件系统主要制造商的进展。这样的系统在发动机、道路和其他噪音存在的情况下会明显失去可靠性。在这种情况下，信号分离技术提供了它的技术：一种高精度的信号分离降噪器，它有潜力在很宽的频率范围内有效地工作，用作语音识别系统的输入。这项技术最初的目标市场是豪华车，但预计随后将渗透到总汽车市场超过1亿辆。仅在美国，就有1000万辆豪车，据估计，在不久的将来，有50%的豪车可能会安装语音识别器。

9861548 This Small Business Innovation Research Phase I project from Signal Separation Technologies (SST) applies noise cancellation to enable speech recognition systems to function more effectively in noisy environments such as automobiles where, in addition, hands-free operation of the speech microphone is a desired capability, e.g., in voice commands to car phones, conversing on car phones, and non-emergency commands to operate windows. Building on the Signal-Free Reference using Singular-Value Decomposition (SFR-SVD)-based noise canceller produced under an SBIR contract from Army, the novel and highly effective noise canceling algorithms are now believed to be capable of solving the noisy environment problem. The proposed application will be evaluated by measuring the improvement in percentage of correctly interpreted commands when noise canceling is applied. Speech recognition systems are receiving considerable attention as reflected in Business Week's 1998 Special Report with the subheading "Speech Technology is the Next Big Thing in Computing" which discussed progress at the major manufacturers of speech recognition and software systems. Such systems significantly lose reliability in the presence of engine, road, and other noise. In this context, Signal Separation Technologies proffers its technology: a high accuracy signal separation noise canceller which has the potential to work effectively over a wide frequency range for use as an input to speech recognition systems. The initial target market for this technology is luxury cars, but penetration into the total car market of over 100 million is anticipated in to follow. In the United States alone, there are 10 million luxury cars and it is estimated that a good 50% are likely to have speech recognizers in the near future.