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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