11. A system for executing a voice search, the system comprising: a processor; and a memory coupled to the processor, the memory storing instructions that, when executed by the processor, cause the system to perform the operations of: receiving a spoken query; converting the spoken query into a first text query using a speech recognition process, the speech recognition process using a language model that assigns a score to respective text strings associated with the first text query, the score of each respective text string being used to compute a probability of correct conversion of the spoken query to the text query; identifying acoustic features of a voice signal corresponding to the spoken query, the identified acoustic features including at least one of pitch, frequency, or volume associated with the voice signal; classifying the spoken query into at least one voice cluster based on the identified acoustic features of the voice signal, the voice cluster having a respective language model and a respective text cluster, the text cluster including a corpus of text that has been determined to be relevant or commonly used with users having the identified acoustic features; re-assigning scores to one or more respective text strings based on evaluating the respective text strings with the respective language model of the at least one voice cluster; identifying a second text query based on the re-assigned scores; receiving search results from an information retrieval system based on the second text query, each respective search result having a ranking indicating a measure of importance relative to other search results; and modifying rankings of the search results based on evaluating the search results with the respective text cluster of the voice cluster.
15. The system of claim 11 , the memory stores further instructions that, when executed by the processor, cause the system to perform the operations of: receiving metadata that corresponds to the spoken query; and wherein classifying the spoken query into at least one voice cluster based on the identified acoustic features of the voice signal includes classifying the spoken query based on the metadata in addition to the identified acoustic voice features.