-1

我正在尝试实现 deepspeech，作为实现的一部分，我正在尝试运行以下代码。我已经安装python3并deepspeech-0.9.3

运行以下代码时，我收到错误消息line 17, in <module> model = deepspeech.Model(MODEL_FILE_PATH, BEAM_WIDTH) TypeError: __init__() takes 2 positional arguments but 3 were given

import deepspeech
import numpy as np
import os
import pyaudio
import time

# DeepSpeech parameters
DEEPSPEECH_MODEL_DIR = 'deepspeech-0.9.3-models'
MODEL_FILE_PATH = os.path.join(DEEPSPEECH_MODEL_DIR, 'output_graph.pbmm')
BEAM_WIDTH = 500
LM_FILE_PATH = os.path.join(DEEPSPEECH_MODEL_DIR, 'lm.binary')
TRIE_FILE_PATH = os.path.join(DEEPSPEECH_MODEL_DIR, 'trie')
LM_ALPHA = 0.75
LM_BETA = 1.85

# Make DeepSpeech Model
model = deepspeech.Model(MODEL_FILE_PATH, BEAM_WIDTH)
model.enableDecoderWithLM(LM_FILE_PATH, TRIE_FILE_PATH, LM_ALPHA, LM_BETA)

# Create a Streaming session
context = model.createStream()

# Encapsulate DeepSpeech audio feeding into a callback for PyAudio
text_so_far = ''
def process_audio(in_data, frame_count, time_info, status):
    global text_so_far
    data16 = np.frombuffer(in_data, dtype=np.int16)
    model.feedAudioContent(context, data16)
    text = model.intermediateDecode(context)
    if text != text_so_far:
        print('Interim text = {}'.format(text))
        text_so_far = text
    return (in_data, pyaudio.paContinue)

# PyAudio parameters
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
CHUNK_SIZE = 1024

# Feed audio to deepspeech in a callback to PyAudio
audio = pyaudio.PyAudio()
stream = audio.open(
    format=FORMAT,
    channels=CHANNELS,
    rate=RATE,
    input=True,
    frames_per_buffer=CHUNK_SIZE,
    stream_callback=process_audio
)

print('Please start speaking, when done press Ctrl-C ...')
stream.start_stream()

try: 
    while stream.is_active():
        time.sleep(0.1)
except KeyboardInterrupt:
    # PyAudio
    stream.stop_stream()
    stream.close()
    audio.terminate()
    print('Finished recording.')
    # DeepSpeech
    text = model.finishStream(context)
    print('Final text = {}'.format(text))
4

2 回答 2

0

你要么给出了更多的参数，要么你没有在init中使用 self 关键字

于 2021-01-24T10:34:24.423 回答
-1

您正在使用已弃用的代码。

您正在尝试使用 0.6 代码的 0.9 模型。从 0.7 开始，您不再使用 lm.binary 和 trie 作为语言模型。你的代码还有很多错误。

检查 0.9 文档。

也许使用当前示例之一。取决于你的用例是什么。

于 2021-01-24T10:30:42.217 回答