# LibriSpeech pruned_transducer_stateless7_streaming

This model is based on the icefall `pruned_transducer_stateless7_streaming` recipe,
but the model parameters are modified to be smaller in size. It can be
considered a streaming version of [this model](https://huggingface.co/Zengwei/icefall-asr-librispeech-pruned-transducer-stateless7-20M-2023-01-28) and follows
the same parameter configuration.

The main difference from <https://huggingface.co/desh2608/icefall-asr-librispeech-pruned-transducer-stateless7-streaming-small> is that
this model additionally uses simulated RIRs for training, which effectively doubles the training data.

## Performance Record

| Decoding method           | test-clean | test-other | 
|---------------------------|------------|------------|
| greedy search             |    3.58    |   9.29     |
| fast beam search          |    3.57    |   9.05     |
| modified beam search      |    3.41    |   8.94     |

{"language": ["en"], "license": "apache-2.0", "datasets": ["librispeech_asr"], "metrics": ["wer"]}
tensorboard en dataset:librispeech_asr license:apache-2.0 region:us
TAGS
#tensorboard #en #dataset-librispeech_asr #license-apache-2.0 #region-us 

LibriSpeech pruned\_transducer\_stateless7\_streaming
=====================================================


This model is based on the icefall 'pruned\_transducer\_stateless7\_streaming' recipe,
but the model parameters are modified to be smaller in size. It can be
considered a streaming version of this model and follows
the same parameter configuration.


The main difference from <URL is that
this model additionally uses simulated RIRs for training, which effectively doubles the training data.


Performance Record
------------------


Decoding method: greedy search, test-clean: 3.58, test-other: 9.29
Decoding method: fast beam search, test-clean: 3.57, test-other: 9.05
Decoding method: modified beam search, test-clean: 3.41, test-other: 8.94



TAGS
#tensorboard #en #dataset-librispeech_asr #license-apache-2.0 #region-us 

TAGS
#tensorboard #en #dataset-librispeech_asr #license-apache-2.0 #region-us 
