Using squeezeformer

app.py

@@ -8,7 +8,7 @@ import nemo.collections.asr as nemo_asr
 
 
 asr_model = nemo_asr.models.EncDecCTCModelBPE. \
-                    from_pretrained("NeonBohdan/stt_uk_citrinet_512_gamma_0_25",map_location="cpu")
+                    from_pretrained("theodotus/stt_uk_squeezeformer_ctc_sm",map_location="cpu")
 
 asr_model.preprocessor.featurizer.dither = 0.0
 asr_model.preprocessor.featurizer.pad_to = 0
@@ -17,11 +17,11 @@ asr_model.encoder.freeze()
 asr_model.decoder.freeze()
 
 
-buffer_len = 1.6
+buffer_len = 3.2
 chunk_len = 0.8
 total_buffer = round(buffer_len * asr_model.cfg.sample_rate)
 overhead_len = round((buffer_len - chunk_len) *  asr_model.cfg.sample_rate)
-model_stride = 8
+model_stride = 4