import time, logging, json, sys, struct
import numpy as np
from scipy.io.wavfile import WAVE_FORMAT
def write_numpy_to_wave(filename, rate, data, add_header=False):
"""
Write a NumPy array as a WAV file.
"""
def _array_tofile(fid, data):
# ravel gives a c-contiguous buffer
fid.write(data.ravel().view('b').data)
if hasattr(filename, 'write'):
fid = filename
else:
fid = open(filename, 'wb')
fs = rate
try:
dkind = data.dtype.kind
if not (dkind == 'i' or dkind == 'f' or (dkind == 'u' and
data.dtype.itemsize == 1)):
raise ValueError("Unsupported data type '%s'" % data.dtype)
header_data = b''
header_data += b'RIFF'
header_data += b'\x00\x00\x00\x00'
header_data += b'WAVE'
# fmt chunk
header_data += b'fmt '
if dkind == 'f':
format_tag = WAVE_FORMAT.IEEE_FLOAT
else:
format_tag = WAVE_FORMAT.PCM
if data.ndim == 1:
channels = 1
else:
channels = data.shape[1]
bit_depth = data.dtype.itemsize * 8
bytes_per_second = fs*(bit_depth // 8)*channels
block_align = channels * (bit_depth // 8)
fmt_chunk_data = struct.pack('<HHIIHH', format_tag, channels, fs,
bytes_per_second, block_align, bit_depth)
if not (dkind == 'i' or dkind == 'u'):
# add cbSize field for non-PCM files
fmt_chunk_data += b'\x00\x00'
header_data += struct.pack('<I', len(fmt_chunk_data))
header_data += fmt_chunk_data
# fact chunk (non-PCM files)
if not (dkind == 'i' or dkind == 'u'):
header_data += b'fact'
header_data += struct.pack('<II', 4, data.shape[0])
# check data size (needs to be immediately before the data chunk)
if ((len(header_data)-4-4) + (4+4+data.nbytes)) > 0xFFFFFFFF:
raise ValueError("Data exceeds wave file size limit")
if add_header:
fid.write(header_data)
# data chunk
fid.write(b'data')
fid.write(struct.pack('<I', data.nbytes))
if data.dtype.byteorder == '>' or (data.dtype.byteorder == '=' and
sys.byteorder == 'big'):
data = data.byteswap()
_array_tofile(fid, data)
if add_header:
# Determine file size and place it in correct
# position at start of the file.
size = fid.tell()
fid.seek(4)
fid.write(struct.pack('<I', size-8))
finally:
if not hasattr(filename, 'write'):
fid.close()
else:
fid.seek(0)
def is_speaker_speaking(vad, data, sample_rate):
# Function to detect if the speaker is speaking
# The WebRTC VAD only accepts 16-bit mono PCM audio,
# sampled at 8000, 16000, 32000 or 48000 Hz.
# A frame must be either 10, 20, or 30 ms in duration:
frame_duration = 30
n_bit_each = int(sample_rate * frame_duration / 1000)*2 # x2 because audio is 16 bit (2 bytes)
res_list = []
for t in range(len(data)):
if t!=0 and t % n_bit_each == 0:
res_list.append(vad.is_speech(data[t-n_bit_each:t], sample_rate))
info = ''.join(['^' if r else '.' for r in res_list])
info = info[:10]
if any(res_list):
return True, info
else:
return False, info
class AliyunASR():
def test_on_sentence_begin(self, message, *args):
# print("test_on_sentence_begin:{}".format(message))
pass
def test_on_sentence_end(self, message, *args):
# print("test_on_sentence_end:{}".format(message))
message = json.loads(message)
self.parsed_sentence = message['payload']['result']
self.event_on_entence_end.set()
# print(self.parsed_sentence)
def test_on_start(self, message, *args):
# print("test_on_start:{}".format(message))
pass
def test_on_error(self, message, *args):
logging.error("on_error args=>{}".format(args))
pass
def test_on_close(self, *args):
self.aliyun_service_ok = False
pass
def test_on_result_chg(self, message, *args):
# print("test_on_chg:{}".format(message))
message = json.loads(message)
self.parsed_text = message['payload']['result']
self.event_on_result_chg.set()
def test_on_completed(self, message, *args):
# print("on_completed:args=>{} message=>{}".format(args, message))
pass
def audio_convertion_thread(self, uuid):
# 在一个异步线程中采集音频
import nls # pip install git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git
import tempfile
from scipy import io
from toolbox import get_conf
from .audio_io import change_sample_rate
from .audio_io import RealtimeAudioDistribution
NEW_SAMPLERATE = 16000
rad = RealtimeAudioDistribution()
rad.clean_up()
temp_folder = tempfile.gettempdir()
TOKEN, APPKEY = get_conf('ALIYUN_TOKEN', 'ALIYUN_APPKEY')
if len(TOKEN) == 0:
TOKEN = self.get_token()
self.aliyun_service_ok = True
URL="wss://nls-gateway.aliyuncs.com/ws/v1"
sr = nls.NlsSpeechTranscriber(
url=URL,
token=TOKEN,
appkey=APPKEY,
on_sentence_begin=self.test_on_sentence_begin,
on_sentence_end=self.test_on_sentence_end,
on_start=self.test_on_start,
on_result_changed=self.test_on_result_chg,
on_completed=self.test_on_completed,
on_error=self.test_on_error,
on_close=self.test_on_close,
callback_args=[uuid.hex]
)
timeout_limit_second = 20
r = sr.start(aformat="pcm",
timeout=timeout_limit_second,
enable_intermediate_result=True,
enable_punctuation_prediction=True,
enable_inverse_text_normalization=True)
import webrtcvad
vad = webrtcvad.Vad()
vad.set_mode(1)
is_previous_frame_transmitted = False # 上一帧是否有人说话
previous_frame_data = None
echo_cnt = 0 # 在没有声音之后，继续向服务器发送n次音频数据
echo_cnt_max = 4 # 在没有声音之后，继续向服务器发送n次音频数据
keep_alive_last_send_time = time.time()
while not self.stop:
# time.sleep(self.capture_interval)
audio = rad.read(uuid.hex)
if audio is not None:
# convert to pcm file
temp_file = f'{temp_folder}/{uuid.hex}.pcm' #
dsdata = change_sample_rate(audio, rad.rate, NEW_SAMPLERATE) # 48000 --> 16000
write_numpy_to_wave(temp_file, NEW_SAMPLERATE, dsdata)
# read pcm binary
with open(temp_file, "rb") as f: data = f.read()
is_speaking, info = is_speaker_speaking(vad, data, NEW_SAMPLERATE)
if is_speaking or echo_cnt > 0:
# 如果话筒激活 / 如果处于回声收尾阶段
echo_cnt -= 1
if not is_previous_frame_transmitted: # 上一帧没有人声，但是我们把上一帧同样加上
if previous_frame_data is not None: data = previous_frame_data + data
if is_speaking:
echo_cnt = echo_cnt_max
slices = zip(*(iter(data),) * 640) # 640个字节为一组
for i in slices: sr.send_audio(bytes(i))
keep_alive_last_send_time = time.time()
is_previous_frame_transmitted = True
else:
is_previous_frame_transmitted = False
echo_cnt = 0
# 保持链接激活，即使没有声音，也根据时间间隔，发送一些音频片段给服务器
if time.time() - keep_alive_last_send_time > timeout_limit_second/2:
slices = zip(*(iter(data),) * 640) # 640个字节为一组
for i in slices: sr.send_audio(bytes(i))
keep_alive_last_send_time = time.time()
is_previous_frame_transmitted = True
self.audio_shape = info
else:
time.sleep(0.1)
if not self.aliyun_service_ok:
self.stop = True
self.stop_msg = 'Aliyun音频服务异常，请检查ALIYUN_TOKEN和ALIYUN_APPKEY是否过期。'
r = sr.stop()
def get_token(self):
from toolbox import get_conf
import json
from aliyunsdkcore.request import CommonRequest
from aliyunsdkcore.client import AcsClient
AccessKey_ID, AccessKey_secret = get_conf('ALIYUN_ACCESSKEY', 'ALIYUN_SECRET')
# 创建AcsClient实例
client = AcsClient(
AccessKey_ID,
AccessKey_secret,
"cn-shanghai"
)
# 创建request，并设置参数。
request = CommonRequest()
request.set_method('POST')
request.set_domain('nls-meta.cn-shanghai.aliyuncs.com')
request.set_version('2019-02-28')
request.set_action_name('CreateToken')
try:
response = client.do_action_with_exception(request)
print(response)
jss = json.loads(response)
if 'Token' in jss and 'Id' in jss['Token']:
token = jss['Token']['Id']
expireTime = jss['Token']['ExpireTime']
print("token = " + token)
print("expireTime = " + str(expireTime))
except Exception as e:
print(e)
return token