From 4d2bf9fe3cc385b441e94c3000b34a44cac8a8db Mon Sep 17 00:00:00 2001
From: speech_asr <wangjiaming.wjm@alibaba-inc.com>
Date: 星期二, 14 三月 2023 17:13:25 +0800
Subject: [PATCH] update
---
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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