小编Art*_*rev的帖子

我想使用 pyaudio 和 IBM Bluemix 服务实现简单的语音转文本工具。目前我需要录制音频，将其保存到磁盘，然后再次加载以将其发送到 Bluemix。

RATE=44100
RECORD_SECONDS = 10
CHUNKSIZE = 1024

# initialize portaudio
p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paInt16, channels=1, rate=RATE,     input=True, frames_per_buffer=CHUNKSIZE)

frames = [] # A python-list of chunks(numpy.ndarray)
print("Please speak!")

for _ in range(0, int(RATE / CHUNKSIZE * RECORD_SECONDS)):
    data = stream.read(CHUNKSIZE)
    frames.append(np.fromstring(data, dtype=np.int16))

#Convert the list of numpy-arrays into a 1D array (column-wise)
numpydata = np.hstack(frames)

# close stream
stream.stop_stream()
stream.close()
p.terminate()

# save audio to disk
wav.write('out.wav',RATE,numpydata)

# Open audio file(.wav) …

我有一个形状为[n,m] 的numpy矩阵A和一个长度为n 的数组b.我需要的是采取的总和b [I]的第i行的至少元件甲.所以代码可能如下所示:

A = np.array([[1,2,3],
              [4,5,6],
              [7,8,9]])

b = np.array([2,3,1])

sums = magic_function() #sums = [3, 15, 7]

我考虑过np.apply_along_axis()函数,但在这种情况下,你的函数似乎只能依赖于行本身.