镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 06:56:48 +00:00
83 行
3.4 KiB
Python
83 行
3.4 KiB
Python
import time, threading, json
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class AliyunASR():
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def test_on_sentence_begin(self, message, *args):
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print("test_on_sentence_begin:{}".format(message))
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def test_on_sentence_end(self, message, *args):
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print("test_on_sentence_end:{}".format(message))
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message = json.loads(message)
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self.parsed_sentence = message['payload']['result']
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self.event_on_entence_end.set()
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def test_on_start(self, message, *args):
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print("test_on_start:{}".format(message))
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def test_on_error(self, message, *args):
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print("on_error args=>{}".format(args))
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def test_on_close(self, *args):
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print("on_close: args=>{}".format(args))
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def test_on_result_chg(self, message, *args):
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print("test_on_chg:{}".format(message))
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message = json.loads(message)
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self.parsed_text = message['payload']['result']
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self.event_on_result_chg.set()
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def test_on_completed(self, message, *args):
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print("on_completed:args=>{} message=>{}".format(args, message))
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def audio_convertion_thread(self, uuid):
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# 在一个异步线程中采集音频
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import nls # pip install git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git
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from scipy import io
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from .audio_io import change_sample_rate
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NEW_SAMPLERATE = 16000
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from .audio_io import RealtimeAudioDistribution
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rad = RealtimeAudioDistribution()
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import tempfile
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temp_folder = tempfile.gettempdir()
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URL="wss://nls-gateway.cn-shanghai.aliyuncs.com/ws/v1"
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TOKEN="f37f30e0f9934c34a992f6f64f7eba4f" # 参考https://help.aliyun.com/document_detail/450255.html获取token
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APPKEY="RoPlZrM88DnAFkZK" # 获取Appkey请前往控制台：https://nls-portal.console.aliyun.com/applist
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sr = nls.NlsSpeechTranscriber(
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url=URL,
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token=TOKEN,
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appkey=APPKEY,
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on_sentence_begin=self.test_on_sentence_begin,
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on_sentence_end=self.test_on_sentence_end,
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on_start=self.test_on_start,
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on_result_changed=self.test_on_result_chg,
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on_completed=self.test_on_completed,
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on_error=self.test_on_error,
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on_close=self.test_on_close,
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callback_args=[uuid.hex]
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)
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r = sr.start(aformat="pcm",
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enable_intermediate_result=True,
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enable_punctuation_prediction=True,
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enable_inverse_text_normalization=True)
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while not self.stop:
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# time.sleep(self.capture_interval)
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audio = rad.read(uuid.hex)
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if audio is not None:
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# convert to pcm file
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temp_file = f'{temp_folder}/{uuid.hex}.pcm' #
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dsdata = change_sample_rate(audio, rad.rate, NEW_SAMPLERATE) # 48000 --> 16000
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io.wavfile.write(temp_file, NEW_SAMPLERATE, dsdata)
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# read pcm binary
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with open(temp_file, "rb") as f: data = f.read()
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print('audio len:', len(audio), '\t ds len:', len(dsdata), '\t need n send:', len(data)//640)
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slices = zip(*(iter(data),) * 640) # 640个字节为一组
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for i in slices: sr.send_audio(bytes(i))
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else:
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time.sleep(0.1)
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r = sr.stop()
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