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

SBIR 第一阶段：用于在嘈杂环境中实现语音识别的噪声消除器

• 批准号: 9861548
• 负责人: Felix Rosenthal
• 金额: $ 10万
• 依托单位: Signal Separation Technologies Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-01-01 至 1999-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9861548&HistoricalAwards=false
• 关键词: SBIR; Phase; Noise; Canceller; Enabling

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.

9861548这个由信号分离技术(SST)发起的小型企业创新研究第一阶段项目应用噪音消除技术，使语音识别系统能够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也是理想的功能，例如，对汽车电话发出语音命令，在汽车电话上进行对话，以及在非紧急情况下操作窗户。在陆军SBIR合同下生产的基于信号无奇异值分解(SFR-SVD)的噪声抵消器的基础上，新的高效噪声抵消算法被认为能够解决噪声环境问题。建议的应用程序将通过测量在应用噪声消除时正确解释的命令的百分比的改进来进行评估。语音识别系统正受到相当大的关注，正如《商业周刊》1998年的特别报告所反映的那样，该报告的副标题是《语音技术是计算机领域的下一件大事》，该报告讨论了语音识别和软件系统的主要制造商的进展。这样的系统在发动机、道路和其他噪声存在的情况下会显著丧失可靠性。在此背景下，信号分离技术公司提供了其技术：一种高精度的信号分离噪声消除器，有可能在广泛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超过1亿辆的汽车市场。仅在美国，就有1000万辆豪华车，据估计，在不久的将来，50%的豪华车可能会有语音识别器。