Instructions to use desh2608/icefall-asr-alimeeting-pruned-transducer-stateless7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- K2
How to use desh2608/icefall-asr-alimeeting-pruned-transducer-stateless7 with K2:
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- Notebooks
- Google Colab
- Kaggle
AliMeeting
This is an ASR recipe for the AliMeeting corpus. AliMeeting 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 for details.
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