metadata
datasets:
- AMI
language:
- en
license: apache-2.0
metrics:
- name: IHM test WER
type: wer
value: 17.4
- 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 for details.