A new highly parallel approach to automatic recognition of speech, inspired by early FletcherÂ’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 corrupted. In such cases, it can yield an order-of-magnitude improvement in the error rate over a conventional full-band recognizer.