From 40eefbe376bd2e846bd9c451636f4e42ba1bf8bf Mon Sep 17 00:00:00 2001
From: zhuzizyf <42790740+zhuzizyf@users.noreply.github.com>
Date: 星期三, 12 四月 2023 17:18:19 +0800
Subject: [PATCH] Merge pull request #1 from zhuzizyf/fix-dataset-bug

---
 funasr/bin/asr_inference_paraformer_vad_punc.py |   10 ++++++----
 1 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/funasr/bin/asr_inference_paraformer_vad_punc.py b/funasr/bin/asr_inference_paraformer_vad_punc.py
index 1dc98f6..9dc0b79 100644
--- a/funasr/bin/asr_inference_paraformer_vad_punc.py
+++ b/funasr/bin/asr_inference_paraformer_vad_punc.py
@@ -58,7 +58,7 @@
 
     Examples:
             >>> import soundfile
-            >>> speech2text = Speech2Text("asr_config.yml", "asr.pth")
+            >>> speech2text = Speech2Text("asr_config.yml", "asr.pb")
             >>> audio, rate = soundfile.read("speech.wav")
             >>> speech2text(audio)
             [(text, token, token_int, hypothesis object), ...]
@@ -256,7 +256,7 @@
             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 = []
@@ -292,6 +292,8 @@
 
                 # remove blank symbol id, which is assumed to be 0
                 token_int = list(filter(lambda x: x != 0 and x != 2, token_int))
+                if len(token_int) == 0:
+                    continue
 
                 # Change integer-ids to tokens
                 token = self.converter.ids2tokens(token_int)
@@ -303,7 +305,7 @@
 
                 if isinstance(self.asr_model, BiCifParaformer):
                     _, timestamp = ts_prediction_lfr6_standard(us_alphas[i], 
-                                                            us_cif_peak[i], 
+                                                            us_peaks[i], 
                                                             copy.copy(token), 
                                                             vad_offset=begin_time)
                     results.append((text, token, token_int, timestamp, enc_len_batch_total, lfr_factor))
@@ -668,7 +670,7 @@
                     ibest_writer["token"][key] = " ".join(token)
                     ibest_writer["token_int"][key] = " ".join(map(str, token_int))
                     ibest_writer["vad"][key] = "{}".format(vadsegments)
-                    ibest_writer["text"][key] = text_postprocessed
+                    ibest_writer["text"][key] = " ".join(word_lists)
                     ibest_writer["text_with_punc"][key] = text_postprocessed_punc
                     if time_stamp_postprocessed is not None:
                         ibest_writer["time_stamp"][key] = "{}".format(time_stamp_postprocessed)

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