File size: 1,238 Bytes
d35a7a9 26cafdd d35a7a9 26cafdd d35a7a9 26cafdd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
---
datasets:
- AliMeeting
language:
- zh
license: apache-2.0
metrics:
-
name: "IHM test CER"
type: cer
value: 11.53
-
name: "SDM test CER"
type: cer
value: 25.85
-
name: "GSS test CER"
type: cer
value: 14.22
tags:
- k2
- icefall
---
# AliMeeting
This is an ASR recipe for the AliMeeting corpus. AMI provides recordings from the speaker's
headset microphones and an 8-channel microphone array.
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 | eval CER | test CER |
|--------------------------|------------|---------|
| IHM | 9.58 | 11.53 |
| SDM | 23.37 | 25.85 |
| MDM (GSS-enhanced) | 11.82 | 14.22 |
See the [recipe](https://github.com/k2-fsa/icefall/tree/master/egs/alimeeting/ASR_v2) for details.
|