cherry pick with pr:3040

examples/aishell/asr3/RESULT.md

@@ -4,6 +4,7 @@
 
 * paddle version: develop (commit id: daea892c67e85da91906864de40ce9f6f1b893ae)
 * paddlespeech version: develop (commit id: c14b4238b256693281e59605abff7c9435b3e2b2)
+* paddlenlp version: 2.5.2
 
 ## Device
 * python: 3.7

examples/aishell/asr3/conf/train_with_wav2vec.yaml

@@ -83,7 +83,7 @@ dnn_neurons: 1024
 freeze_wav2vec: False
 dropout: 0.15
 
-tokenizer: !apply:transformers.BertTokenizer.from_pretrained
+tokenizer: !apply:paddlenlp.transformers.AutoTokenizer.from_pretrained
    pretrained_model_name_or_path: bert-base-chinese
 # bert-base-chinese tokens length
 output_neurons: 21128

examples/aishell/asr3/local/aishell_prepare.py

@@ -21,7 +21,7 @@ import glob
 import logging
 import os
 
-from paddlespeech.s2t.models.wav2vec2.io.dataio import read_audio
+from paddlespeech.s2t.io.speechbrain.dataio import read_audio
 
 logger = logging.getLogger(__name__)
 

examples/aishell/asr3/local/data.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 stage=-1
-stop_stage=-1
+stop_stage=3
 dict_dir=data/lang_char
 
 . ${MAIN_ROOT}/utils/parse_options.sh || exit -1;