Speech Performance Tests for Voice Processors

نویسنده

  • Z. Uzdy
چکیده

Voice processors, including those using linear predictive coding (LPC) algorithms, are becoming more prevalent in communication systems. Several intelligibility and speaker recognition tests were used to evaluate two currently available LPC voice processors. Both text-dependent and text-independent techniques were developed. The tests are aimed at potential users, yielding quantitative data that permit performance comparisons both of systems and of human speakers and listeners.

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تاریخ انتشار 2016