1. A computer-implemented method for increasing the accuracy of a voice recognition system, comprising: initiating a voice processing session for a first user, wherein the voice processing session is configured to match a voice pattern derived from one or more words spoken by the first user with entries in a word-usage probability table, based on a probability of the one or more words being spoken by the first user; during the voice processing session initiated for the first user, monitoring for an occurrence of a word-usage anomaly, wherein the word-usage anomaly occurs when an observed usage frequency for a given one or more words differs, by a predetermined magnitude, from an expected frequency recorded in the word-usage probability table for the given one or more words; in response to the occurrence of the word usage anomaly, increasing the expected frequency for the given one or more words in the word-usage probability table, wherein the increased expected frequency for the given one or more words in the word-usage probability table is configured to expire, after a predetermined period of time; transmitting an indication of the observed anomaly to a voice processing session initiated for a second user; and monitoring, by a server, respective voice processing sessions for each of a plurality of users, including at least the first user and the second user, wherein the server is configured to: (i) monitor the occurrence of word-usage anomalies for each of the voice processing sessions, (ii) record anomalies observed by each of the voice processing sessions in a server anomaly table, and (iii) broadcast an indication of a global anomaly to each of the voice processing sessions, wherein the global anomaly comprises an anomaly that is observed independently by at least two of the voice processing sessions.