Towards ASR on partially corrupted speech
H. Hennansky, Sangita Tibrewala, Misha Pavel · 2002
A new highly parallel approach to automatic recognition of speech, inspired by early Fetcher's research on articulation index, and based on independent probability estimates in several sub-bands of the available speech spectrum, is presented. The approach is especially suitable for situations when part of the spectrum of speech is computed. In such cases, it can yield an order-of-magnitude improvement in the error rate over a conventional full-band recognizer.