1. A computer-implemented method comprising: receiving audio data that encodes an utterance; providing the audio data to multiple speech recognizers that are each trained on a different dialect or accent of a same language; receiving, from each of the multiple speech recognizers that are each trained on a different dialect or accent of a same language, (i) a transcription of the utterance, and (ii) a speech recognition confidence score; selecting, from among the transcriptions of the utterance that are received from the multiple speech recognizers, one or more particular transcriptions that were each generated by two or more of the multiple speech recognizers; selecting, from among the one or more particular transcriptions that were each generated by two or more of the multiple speech recognizers, a representative transcription based at least on the speech recognition confidence scores associated with the particular transcriptions; and providing the representative transcription for output.
1. A computer-implemented method comprising: receiving audio data that encodes an utterance; providing the audio data to multiple speech recognizers that are each trained on a different dialect or accent of a same language; receiving, from each of the multiple speech recognizers that are each trained on a different dialect or accent of a same language, (i) a transcription of the utterance, and (ii) a speech recognition confidence score; selecting, from among the transcriptions of the utterance that are received from the multiple speech recognizers, one or more particular transcriptions that were each generated by two or more of the multiple speech recognizers; selecting, from among the one or more particular transcriptions that were each generated by two or more of the multiple speech recognizers, a representative transcription based at least on the speech recognition confidence scores associated with the particular transcriptions; and providing the representative transcription for output. 9. The method of claim 1 , wherein the multiple speech recognizers that are each trained on a different dialect or accent of a same language are constituents of a single, composite speech recognizer for a language.