Exploring Temporal Domain for Robustness in Speech Recognition

The paper reviews several techniques which are used in conjunction with the short-term analysis and which are reported to be more robust in presence of noise or other non-linguistic factors. We show that one property common to all such techniques is that they are effectively extracting speech features from segments of speech longer than 10-20 ms. II. Introduction to the Problem The communication channel and its noise level remains most often fixed or varies only rather slowly during the conversation. On the other hand, steady configurations of vocal tract are rare and carry only a little of linguistic information. The description of speech signal as a succession of equally spaced short-term samples originated in speech coding. It assumes that short-term (about 10 - 20 ms) segments of speech are independent samples from different and unrelated stationary processes. Fundamental linguistic unit is likely to be longer than 10 ms and one frame of short-term analysis result provides descri..