Spaces:
Sleeping
Sleeping
Used Nemo streaming logic
Browse files
app.py
CHANGED
@@ -3,7 +3,7 @@ import numpy as np
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import resampy
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import torch
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from math import
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import nemo.collections.asr as nemo_asr
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@@ -17,9 +17,17 @@ asr_model.encoder.freeze()
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asr_model.decoder.freeze()
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@@ -39,19 +47,13 @@ def model(audio_16k):
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def decode_predictions(logits_list):
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logits_overhead = logits_list[0].shape[1] * overhead_len / total_buffer / 2
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if (logits_overhead * 2 != int(logits_overhead * 2)):
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raise ValueError("Wrong total_buffer")
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# cut overhead
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cutted_logits = []
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for idx in range(len(logits_list)):
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start_cut = 0 if (idx==0) else
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end_cut = 1 if (idx==len(logits_list)-1) else
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end_cut +=1
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logits = logits_list[idx][:, start_cut:-end_cut]
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cutted_logits.append(logits)
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# join
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import resampy
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import torch
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from math import ceil
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import nemo.collections.asr as nemo_asr
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asr_model.decoder.freeze()
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buffer_len = 1.6
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chunk_len = 0.8
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total_buffer = round(buffer_len * asr_model.cfg.sample_rate)
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overhead_len = round((buffer_len - chunk_len) * asr_model.cfg.sample_rate)
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model_stride = 8
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model_stride_in_secs = asr_model.cfg.preprocessor.window_stride * model_stride
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tokens_per_chunk = ceil(chunk_len / model_stride_in_secs)
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mid_delay = ceil((chunk_len + (buffer_len - chunk_len) / 2) / model_stride_in_secs)
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def decode_predictions(logits_list):
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logits_len = logits_list[0].shape[1]
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# cut overhead
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cutted_logits = []
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for idx in range(len(logits_list)):
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start_cut = 0 if (idx==0) else logits_len - 1 - mid_delay
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end_cut = -1 if (idx==len(logits_list)-1) else logits_len - 1 - mid_delay + tokens_per_chunk
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logits = logits_list[idx][:, start_cut:end_cut]
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cutted_logits.append(logits)
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# join
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