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Structural Usable Speech Measure Using Lpc Residual, Ananth N. Iyer, Melinda Gleiter, Brett Y. Smolenski, Robert E. Yantorno
Structural Usable Speech Measure Using Lpc Residual, Ananth N. Iyer, Melinda Gleiter, Brett Y. Smolenski, Robert E. Yantorno
Ananth N Iyer
In an operational environment speech is degraded by many kinds of interferences. The operation of many speech processing techniques are plagued by such interferences. Usable speech extraction is a novel concept of processing degraded speech data. The idea of usable speech is to identify and extract portions of degraded speech that are considered useful for various speech processing systems. The performance reduction of speaker identification systems under degraded conditions and use of usable speech concept to improve the performance has been demonstrated in previous work. A new usable speech measure, based on the structure of Linear Predictive Coding (LPC) residual …
Usable Speech Detection Using Linear Predictive Analysis, Nitya Sundaram, Robert E. Yantorno, Brett Y. Smolenski, Ananth N. Iyer
Usable Speech Detection Using Linear Predictive Analysis, Nitya Sundaram, Robert E. Yantorno, Brett Y. Smolenski, Ananth N. Iyer
Ananth N Iyer
A speech segment is defined as “usable,” if speech, which is corrupted by interfering speech, can still be used for applications like speaker identification. In tactical communications, where there are multiple signals transmitted over the same channel such as telephone or radio transmission, separation of usable speech from speech corrupted by voices of other speakers is desired. This separation is important in making automatic speaker and speech recognition systems more robust. A novel approach towards developing a usable speech measure could be model-based. Using this concept of model-based usable speech detection, the use of Linear Prediction is investigated. The method …