scbc_repos/ssat_sdk/sound_tool.py

#-*- coding:utf-8 -*-
import os,sys
reload(sys)
sys.setdefaultencoding('utf-8')
import wave
from time import sleep
import time
import numpy
import numpy as np
import pyaudio
# import pylab
# import matplotlib.pyplot as pl
# import matplotlib
import math,random
from ssat_sdk.sound.audio_recorder import ARecorder
from ssat_sdk.sound.audio_recorder import READ_BUF_TIME
from ssat_sdk.sound.audio_analysis import AAnalysis
from ssat_sdk.sat_environment import getSATTmpDIR,getVoicecards

import threading,thread
import Queue
from scipy import fftpack
from scipy import signal
from scipy.io import wavfile
from ssat_sdk.device_manage.sound_manager import *
from threading import Lock

FORMAT = pyaudio.paInt16
RATE = 44100
RECORD_SECONDS = 5
data = []
FFT_LEN = 128
frames = []
counter = 1

isMonitor = True
NoSoundLT = 10#记录连续8次<SoundLevel状态，1秒钟大概抓40次数据。10次代表0.2秒，即表示无声。
NoSoundTLimit = 0.1 #没有声音时长判断标准
SoundTLimit = 0.06 #有声时长判断标准
ExpList = []
t = None

q = Queue.Queue()
# processing block
# window = signal.hamming(CHUNK)
TAG = "SoundTool"
MuTex = Lock()
class AudioIdentify():
    # 设备名称,默认拾音器=0, 亚为USB=1;
    Sound_Has = 0
    Sound_No = 1
    Sound_Break = 2
    def __init__(self):
        print "Init AudioIdentify"
        self.aAnalysis = AAnalysis()
        self.isSound = False #整个监听过程，是否有声音
        self.hasBlock = False #是否有断续现象
        self.deviceType = 0
        # self.audioChecker = Sound()
        self.audioChecker = None
        self.audioRecorder = ""
        try:
            list = getVoicecards()
            print u'音频设备列表：',list
            self.default = list["default"]
            for item in list["devices"]:
                if self.default == item["name"]:
                    self.deviceType = int(item["type"])
                    break
            
            if self.deviceType == 1: # usb
                print u'使用usb声音检测设备'
                self.audioChecker = SoundManager()
                if self.audioChecker.IsOpen != 0:
                    print u'初始化声音设备失败'
            else:
                self.audioChecker = ARecorder()
                print u'使用拾音器设备'
        except Exception, e:
            self.audioChecker = ARecorder()
            print u"获取VoiceCards失败", e



    # 是否有声音，muteVoltage静音电压值
    # 废弃函数
    def hasSound(self, duration, muteVoltage = 1.0):
        if self.deviceType == 0:
            return self.isSound
        else:
            if self.audioChecker == None:
                print u'USB设备未初始化'
                return False
            # 获取静音百分比，1.0表示完全静音;
            percentMute = self.audioChecker.IsMute(duration, muteVoltage)
            # 静音百分比小于1.0时认为有声音;
            self.isSound = True if percentMute < 1.0 else False
        return self.isSound

    '''
    返回当前设备状态。设备就绪返回True,失败返回False。
    '''
    def getStatus(self):
        if self.deviceType == 0:
            return self.audioChecker.getStatus()
        if self.audioChecker == None:
            print u'USB设备未初始化'
            return False
        return True if self.audioChecker.IsOpen == 0 else False

    '''
    判断当前声音是否中断，中断返回True,没有中断返回False
    collectionTime: 采集时长，单位毫秒
    muteVoltage: 静音电压值，单位伏
    interruptTime: 停顿时长，单位毫秒
    '''
    def isInterrupt(self, collectionTime = 5000, muteVoltage = 1.0, interruptTime = 200):
        # return self.audioChecker.isInterrupt()
        if self.audioChecker == None:
            print u'USB设备未初始化'
            return False
        return self.audioChecker.IsInterrupt( collectionTime, muteVoltage, interruptTime)

    '''
    判断当前是否监听到声音，成功返回True,失败返回False。
    collectionTime: 采集时长，单位毫秒
    muteVoltage: 静音电压值，单位伏
    [return] Bool
    '''
    def isOK(self):
        return self.isSound

    '''
    采集声音（主线程）
    [int] int :采集多少时长的声明，以秒为单位
    [return] void
    '''
    def startCHK(self, seconds,muteVoltage = 1.0):
        if self.deviceType == 0:
            self.monitorSound(seconds)
        elif self.deviceType == 1:
            if self.audioChecker == None:
                print u'USB设备未初始化'
                return False
            # 获取静音百分比，1.0表示完全静音;
            percentMute = self.audioChecker.IsMute(seconds, muteVoltage)
            # 静音百分比小于1.0时认为有声音;
            self.isSound = True if percentMute < 1.0 else False
        # return self.isSound


    '''
    返回monitorSound过程中的声音平均强度，如果LR为True则返回左右声道的声音强度，Freq为频率范围，单位Hz。
    切割音频，进行最大强度累计，然后算平均值。
    :param minFreq:频率范围中的最小频率值。
    :param maxFreq：频率范围中的最大频率值。
    :param LR：左右声道检测选项。True：左右声道分开检测；False：仅检测0声道，可能是左声道，有可能仅有的一个声道。
    :param audioFile: 传入新的音频文件，不用monitorSound的音频文件。
    :return: LR=True时，返回左右声道声音强度2个值，LR=False时，返回一个声道强度值。
    '''
    def getSoundPower(self, minFreq=50, maxFreq=20000, LR = False, audioFile="", avg=False):
        if audioFile.__len__() > 2:
            self.aAnalysis.analyWav(audioFile)
        return self.aAnalysis.getTotalAVGPower(LR=LR)

    '''
    获取左右声道有无声的状态。
    :return result,valueList。
         result：-1代表声音检测异常；1表示单声道；2 表示双声道
         valueList：-1代表没有声音，0代表仅左声道，1代表仅右声道，2代表左右声道有声
    '''
    def getLRVariation(self):
        return self.aAnalysis.getLRVariation()


    '''
    监听声音状态，阻塞式监听
    :param seconds：监听声音异常时间
    :param expList数组：声音异常记录数组。数组第一个值{"time":time.asctime( time.localtime(time.time()))}，记录开始时间。
        后续，碰到一次异常，记录一次。
        expList第一个字典数据，有audio 键，取录音文件路径。status键：0 代表无异常；1代表没有声音发出；2代表声音有间断。
    :param waveFile:可以指定录制的音频文件路径
    :return expList数组。 和带入的expList一样
    '''
    def monitorSound(self, seconds,expList=None, waveFile = None, buf_time=READ_BUF_TIME):
        global ExpList
        MuTex.acquire()
        print "monitorSound start:",seconds,expList
        del ExpList
        if expList is not None:
            ExpList = expList
        else:
            ExpList = []

        if self.deviceType == 0:
            firstItem = {"time":time.asctime(time.localtime(time.time()))}
            # analysisLock = threading.Condition()
            self.aAnalysis.startFramesAnalysis(self.audioChecker.getFrameQue(),
                                               self.audioChecker.CHANNELS,
                                               self.audioChecker.WIDTH,
                                               buf_time)
            self.audioChecker.monitor(seconds,saveWave=True, waveFile=waveFile, buf_time=buf_time)
            self.audioRecorder = self.audioChecker.waveFile
            time.sleep(1) #预留1秒钟，用于音频分析。
            self.aAnalysis.endFramesAnalysis()

            firstItem["audio"] = self.audioChecker.getWavFile()
            ExpList.append(firstItem)
            retExpList = self.changeMonSoundResult(ExpList)
            # print u'monitorSound end',retExpList
            MuTex.release()  # 解锁
            print "monitorSound end:", seconds, retExpList
            return retExpList
        elif self.deviceType == 1:
            # 采集时长,单位毫秒;
            # collectionTime = 5000
            # 静音电压，单位伏；
            muteVoltage = 1.0
            # 停顿时长，单位毫秒;
            interruptTime = 200
            ExpList.append({"time":time.asctime( time.localtime(time.time())),"audio":""})
            isInterrupt = self.audioChecker.IsInterrupt( seconds, muteVoltage, interruptTime)
            if isInterrupt == True:
                ExpList.append({"time":time.asctime( time.localtime(time.time()))})
            MuTex.release()  # 解锁
            return ExpList

    '''
    启动一个线程，调用monitorSound函数。
    详细说明，查看monitorSound函数。
    '''
    def monitorSoundTH(self,seconds,expList=None, waveFile = None, buf_time=READ_BUF_TIME):
        thread.start_new_thread(self.monitorSound, (seconds, expList, waveFile, buf_time,))

    def changeMonSoundResult(self,ExpList):
        self.isSound = self.aAnalysis.hasSound
        self.hasBlock = self.aAnalysis.hasBlock
        soundPower = self.getSoundPower()
        print "changeMonSoundResult:", self.aAnalysis.hasSound, self.aAnalysis.hasBlock, self.aAnalysis.hasPlosive,soundPower
        if soundPower - self.aAnalysis.TH_POWER >= 0:
            self.aAnalysis.hasSound = True
        if self.aAnalysis.hasSound is True and self.aAnalysis.hasBlock is True:
            ExpList[0]["status"] = self.Sound_Break
        elif self.aAnalysis.hasSound is True and self.aAnalysis.hasBlock is False:
            ExpList[0]["status"] = self.Sound_Has
        else:
            ExpList[0]["status"] = self.Sound_No
        retExpList = []
        for item in ExpList:
            retExpList.append(item)
        # del ExpList #线程调用，回传参数，需要用到
        return retExpList
        # print "changeMonSoundResult:",ExpList

    '''
    开启一个后台线程，录制音频文件，并返回音频文件路径（保存于临时文件夹）。
    :param seconds：录制声音时间
    :param fileName：希望命名的文件名
    :param CHANNELS：录制单声道时为1，录制双声道时为2

    成功时返回音频文件路径，失败则返回空结果
    '''

    def recordAudioFileReturnPath(self, seconds, fileName,CHANNELS = 2):
        try:
            filePath = os.path.join(getSATTmpDIR(), fileName)
            audioPath = self.monitorSound(seconds,waveFile=filePath)[0]["audio"]
            return audioPath
        except Exception,e:
            # LoggingUtil.printLog(u"获取录制的音频文件失败！")
            print u"获取录制的音频文件失败！",e
            return "wav file record fail!!!"

    '''
    读取立体声文件并分离左右声道音源，
    并返回左右声道音源的路径
    '''
    def splitChannel(self, filePath = ""):
        # 读取WAV声音文件
        if filePath == "":
            filePath = self.audioChecker.getWavFile()
        sampleRate, musicData = wavfile.read(filePath)
        # 提取左右声道数据
        left = []
        right = []
        musicData.shape = -1,2
        musicData = musicData.T
        left = musicData[0]
        right = musicData[1]
        # 写入结果文件
        section_path = filePath.split(".")[0]
        leftPath = section_path + "_left.wav"
        rightPath = section_path + "_right.wav"
        wavfile.write(leftPath, sampleRate, np.array(left))
        wavfile.write(rightPath, sampleRate, np.array(right))
        return leftPath, rightPath

if __name__ == "__main__":
    aIden = AudioIdentify()
    aIden.monitorSound(5)
    time.sleep(1)
    # sound1 = "D:/1.wav"
    # sound2 = "D:/2.wav"
    # list1=[]
    # expList1 = aIden.monitorSoundTH(10)
    # time.sleep(15)
    # aIden.recordAudioFileReturnPath(5, "wavetest_%s.wav" % str(1))
    # print "expList1:",expList1
    # print "soundPower:", aIden.getSoundPower()
    # print "fftsoundPower:", aIden.aAnalysis.getFFTPower()
    # for i in range(10):
    #     filePath = aIden.recordAudioFileReturnPath(5,"wavetest_%s.wav"%str(i))
    #     print "getSoundPower:", aIden.getSoundPower(LR=True)
    #     print "filePath:", filePath
    #     time.sleep(3)
    # print "getSoundPower:",aIden.getSoundPower(LR=True)
    # print "getTotalAVGPower:",aIden.aAnalysis.getTotalAVGPower(LR=True)
    # aIden.aAnalysis.analyWav("D:/5.wav")
    # print "getLRVariation:",aIden.getLRVariation()
    # print "getFFTPower:",aIden.aAnalysis.getFFTPower(LR=True)
    # print "aIden.isOK():", aIden.isOK(),list1
    # shutil.move(expList1[0]['audio'], sound1)
    # for i in range(10):
    #     expList2 = aIden.monitorSound(1)
    #     print "expList2:",i, expList2
    #     shutil.move(expList2[0]['audio'], sound2)

    # waveFile = "sound/wav_balance_v15.wav"
    # print "getSoundPower:", aIden.getSoundPower(LR=True,audioFile=waveFile)