Meeting Transcription Using Virtual Microphone Arrays
Table 1: AM combination. Results for one particular meeting. Numbers should not be compared with those of other tables.
['[EMPTY]', 'ROVER', 'ROVER', 'CNC', 'CNC']
Next, the sum and max of senone posteriors across channels are investigated. This results in a single word hypothesis stream, with ROVER/CNC combining speaker hypotheses only. Similar to the leave-one-out strategy for beamforming, we can preserve diversity by sampling from the channels, followed by hypothesis combination. In the latter case, we sample 7 of the 35 possible outputs to reduce computation. Either way, the 7 resulting decoding outputs are routed to system combination as before.