我正在使用IBM Watson Speech to Text开发程序,当前使用Python 2.7。这是一些用于开发的代码存根:
class MyRecognizeCallback(RecognizeCallback):
def __init__(self):
RecognizeCallback.__init__(self)
def on_data(self, data):
pass
def on_error(self, error):
pass
def on_inactivity_timeout(self, error):
pass
speech_to_text = SpeechToTextV1(username='*goes here*', password='*goes here*')
speech_to_text.set_detailed_response(True)
f = '/home/user/file.wav'
rate, data = wavfile.read(f)
work = data.tolist()
with open(f, 'rb') as audio_file:
# Get IBM Watson analytics
currentModel = "en-US_NarrowbandModel" if rate <= 8000 else "en-US_BroadbandModel"
x = ""
print(" - " + f)
try:
# Callback info
myRecognizeCallback = MyRecognizeCallback()
# X represents the responce from Watson
audio_source = AudioSource(audio_file)
my_result = speech_to_text.recognize_using_websocket(
audio_source,
content_type='audio/wav',
timestamps=True,
recognize_callback=myRecognizeCallback,
model=currentModel,
inactivity_timeout=-1,
max_alternatives=0)
x = json.loads(json.dumps(my_result, indent=2), object_hook=lambda d: n
namedtuple('X', d.keys())(*d.values()))
我期望返回的是一个JSON对象,其中包含上述参数的文件结果。相反,我收到的是一个看起来像这样的错误:
Error received: 'NoneType' object has no attribute 'connected'
这就是整个追溯-除此之外没有其他错误。但是,当我尝试在其他代码中访问JSON对象时,出现此错误:
Traceback (most recent call last):
File "/usr/lib/python2.7/site-packages/watson_developer_cloud/websocket/recognize_listener.py", line 96, in run
chunk = self.audio_source.input.read(ONE_KB)
ValueError: I/O operation on closed file
我忘了东西还是把东西放错了位置?
我的原始代码中有一个错误,我已自行修复。无论如何,我仍然遇到原始错误。这是更新:
my_result = speech_to_text.recognize_using_websocket(
audio_source,
content_type='audio/wav',
timestamps=True,
recognize_callback=myRecognizeCallback,
model=currentModel,
inactivity_timeout=None,
max_alternatives=None).get_result()
x = json.loads(json.dumps(my_result, indent=2), object_hook=lambda d: namedtuple('X', d.keys())(*d.values()))
答案 0 :(得分:0)
看看object_hook=lambda d: n
,在python lambda d: n
中表示“一个带有d的函数,忽略d并返回n”。
我猜n在其他地方被设置为“无”。
如果这不起作用,则将lambda分解为一个单独的函数,也许def to_named_tuple(object):
可能更容易调试。