Sentence examples for speech applications from inspiring English sources

This chapter focuses on design issues related to errorful, state-opaque speech applications.

However, research efforts in acoustic feedback control have mainly been focused on speech applications.

Glottal Closure Instants (GCIs) detection is important to many speech applications.

With speech applications we have no means to directly measure the acoustic transfer functions.

The mel frequency cepstral coefficient (MFCC) is one of the most important features required among various kinds of speech applications.

Two case scenarios based on emerging speech applications are explored, namely text-to-speech (TTS) systems and hands-free communications.

There are also lots of separate programs that either use Microsoft's SAPI (speech application programming interface) and Speech Platform software or bring their own TTS system.

Performances of the ARD and the ARR are also demonstrated for a speech application.

Therefore, the proposed techniques performance is studied for a speech application, though it can be applied to other appropriate real signals like electrocardiogram, phonocardiogram, and seismic.

It shows that even after such a level of decimation, results delivered by the proposed techniques are of acceptable quality for the studied speech application.

It is part of a major move by Microsoft to create a SAPI (Speech Application Programming Interface) for Windows that will make speech a standard part of the operating system.