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AMI

This is an ASR recipe for the AMI corpus. AMI provides recordings from the speaker's headset and lapel microphones, and also 2 array microphones containing 8 channels each. We pool data in the following 4 ways and train a single model on the pooled data:

(i) individual headset microphone (IHM) (ii) IHM with simulated reverb (iii) Single distant microphone (SDM) (iv) GSS-enhanced array microphones

Speed perturbation and MUSAN noise augmentation are additionally performed on the pooled data.

Performance Record

pruned_transducer_stateless7

The following are decoded using modified_beam_search:

Evaluation set dev WER test WER
IHM 18.92 17.40
SDM 31.25 32.21
MDM (GSS-enhanced) 21.67 22.43

See the recipe for details.

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