From cd6d7d4ef09308dacea89cf7d5b4ce80cf84c456 Mon Sep 17 00:00:00 2001
From: huangmingming <huangmingming@deepscience.cn>
Date: 星期四, 16 三月 2023 15:37:08 +0800
Subject: [PATCH] resume vad in client
---
funasr/models/e2e_asr_paraformer.py | 5 +++--
1 files changed, 3 insertions(+), 2 deletions(-)
diff --git a/funasr/models/e2e_asr_paraformer.py b/funasr/models/e2e_asr_paraformer.py
index 5786bc4..44c9de3 100644
--- a/funasr/models/e2e_asr_paraformer.py
+++ b/funasr/models/e2e_asr_paraformer.py
@@ -926,10 +926,10 @@
def calc_predictor_timestamp(self, encoder_out, encoder_out_lens, token_num):
encoder_out_mask = (~make_pad_mask(encoder_out_lens, maxlen=encoder_out.size(1))[:, None, :]).to(
encoder_out.device)
- ds_alphas, ds_cif_peak, us_alphas, us_cif_peak = self.predictor.get_upsample_timestamp(encoder_out,
+ ds_alphas, ds_cif_peak, us_alphas, us_peaks = self.predictor.get_upsample_timestamp(encoder_out,
encoder_out_mask,
token_num)
- return ds_alphas, ds_cif_peak, us_alphas, us_cif_peak
+ return ds_alphas, ds_cif_peak, us_alphas, us_peaks
def forward(
self,
@@ -978,6 +978,7 @@
loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
return loss, stats, weight
+
class ContextualParaformer(Paraformer):
"""
Paraformer model with contextual hotword
--
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