---
datasets: 
  - AMI
language: 
  - en
license: apache-2.0
metrics: 
  - 
    name: "IHM test WER"
    type: wer
    value: 17.40
  - 
    name: "SDM test WER"
    type: wer
    value: 32.21
  - 
    name: "GSS test WER"
    type: wer
    value: 22.43
tags: 
  - k2
  - icefall
---

# 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](https://github.com/k2-fsa/icefall/tree/master/egs) for details.