这是我的代码:
#!/usr
/bin/env python
import os
import sphinxbase as sb
import pocketsphinx as ps
MODELDIR = 'deps/pocketsphinx/model'
DATADIR = 'deps/pocketsphinx/test/data'
# Create a decoder with certain model
config = ps.Decoder.default_config()
config.set_string('-hmm', os.path.join(MODELDIR, 'en-us/en-us'))
config.set_string('-lm', os.path.join(MODELDIR, 'en-us/en-us.lm.bin'))
config.set_string('-dict', os.path.join(MODELDIR, 'en-us/cmudict-en-us.dict'))
decoder = ps.Decoder(config)
# Decode streaming data.
decoder.start_utt()
stream = open(os.path.join(DATADIR, 'hello_world.wav'), 'rb')
while True:
buf = stream.read(1024)
if buf:
decoder.process_raw(buf, False, False)
else:
break
decoder.end_utt()
stream.close()
print('Best hypothesis segments:', [seg.word for seg in decoder.seg()])
我在this stack overflow question
中找到了音频文件hello_world.wav正确输出:'最佳假设片段:hello world'
这是我的问题。我正在查找位于以下内容的发音字典文件:/Library/Python/2.7/site-packages/speech_recognition/pocketsphinx-data/en-US,它似乎是将英文单词映射到音素。
'hello'和'world'的条目是:
hello HH AH L OW
world W ER L D
我想从字典中返回整行。所以,不要只是'你好',我想'你好HH AH L OW'。有没有办法做到这一点?
答案 0 :(得分:2)
获得结果后,您可以查找单词的发音:
print ('Best hypothesis segments: ', [(seg.word, decoder.lookup_word(seg.word)) for seg in decoder.seg()])