From 06f937b53e88502e5d254fb6e80a5fb9ee3b25e9 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 13 三月 2023 18:32:38 +0800
Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR add

---
 funasr/bin/asr_inference_paraformer.py |    9 ++++++---
 1 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/funasr/bin/asr_inference_paraformer.py b/funasr/bin/asr_inference_paraformer.py
index 8265fc5..6413d92 100644
--- a/funasr/bin/asr_inference_paraformer.py
+++ b/funasr/bin/asr_inference_paraformer.py
@@ -42,7 +42,7 @@
 from funasr.models.frontend.wav_frontend import WavFrontend
 from funasr.models.e2e_asr_paraformer import BiCifParaformer, ContextualParaformer
 from funasr.export.models.e2e_asr_paraformer import Paraformer as Paraformer_export
-from funasr.utils.timestamp_tools import time_stamp_lfr6_pl, time_stamp_sentence
+from funasr.utils.timestamp_tools import ts_prediction_lfr6_standard
 
 
 class Speech2Text:
@@ -245,7 +245,7 @@
             decoder_out, ys_pad_lens = decoder_outs[0], decoder_outs[1]
 
         if isinstance(self.asr_model, BiCifParaformer):
-            _, _, us_alphas, us_cif_peak = self.asr_model.calc_predictor_timestamp(enc, enc_len,
+            _, _, us_alphas, us_peaks = self.asr_model.calc_predictor_timestamp(enc, enc_len,
                                                                                    pre_token_length)  # test no bias cif2
 
         results = []
@@ -291,7 +291,10 @@
                     text = None
 
                 if isinstance(self.asr_model, BiCifParaformer):
-                    timestamp = time_stamp_lfr6_pl(us_alphas[i], us_cif_peak[i], copy.copy(token), begin_time, end_time)
+                    _, timestamp = ts_prediction_lfr6_standard(us_alphas[i], 
+                                                            us_peaks[i], 
+                                                            copy.copy(token), 
+                                                            vad_offset=begin_time)
                     results.append((text, token, token_int, hyp, timestamp, enc_len_batch_total, lfr_factor))
                 else:
                     results.append((text, token, token_int, hyp, enc_len_batch_total, lfr_factor))

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