Unity制作批量配音制作工具
程序员文章站
2022-03-21 09:06:11
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最近一直在忙项目，都没有时间和大家分享文章了。今天是来送福利的，送个大家一个语音合成音频工具，当然这也是用Unity制作的。看到讯飞官网有个配音制作，还需要收费，我就不能忍啊，就把之前之前做的批量配音制作工具分享给大家。
就一段音频收这么贵，啧啧啧！！！
MSCDLL.cs 接口
using System;
using System.Runtime.InteropServices;
namespace msc
{
public class MSCDLL
{
#region 登录登出
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int MSPLogin(string usr, string pwd, string parameters);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int MSPLogout();
#endregion
#region 语音识别
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern IntPtr QISRSessionBegin(string grammarList, string _params, ref int errorCode);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int QISRAudioWrite(IntPtr sessionID, byte[] waveData, uint waveLen, AudioStatus audioStatus, ref EpStatus epStatus, ref RecogStatus recogStatus);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern IntPtr QISRGetResult(IntPtr sessionID, ref RecogStatus rsltStatus, int waitTime, ref int errorCode);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int QISRSessionEnd(IntPtr sessionID, string hints);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int QISRBuildGrammar(IntPtr grammarType, string grammarContent, uint grammarLength, string _params, GrammarCallBack callback, IntPtr userData);
[System.Runtime.InteropServices.UnmanagedFunctionPointerAttribute(System.Runtime.InteropServices.CallingConvention.Cdecl)]
public delegate int GrammarCallBack(int errorCode, string info, object udata);
[DllImport("msc.dll", CallingConvention = CallingConvention.StdCall)]
public static extern IntPtr QISRUploadData(string sessionID, string dataName, byte[] userData, uint lenght, string paramValue, ref int errorCode);
#endregion
#region 语音唤醒
//定义回调函数
[UnmanagedFunctionPointer(CallingConvention.Cdecl)]
public delegate int ivw_ntf_handler(string sessionID, int msg, int param1, int param2, IntPtr info, IntPtr userData);
//调用 QIVWSessionBegin(...)开始一次语音唤醒
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern IntPtr QIVWSessionBegin(string grammarList, string _params, ref int errorCode);
//调用 QIVWAudioWrite(...) 分块写入音频数据
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int QIVWAudioWrite(string sessionID, byte[] waveData, uint waveLen, AudioStatus audioStatus);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int QIVWGetResInfo(string resPath, string resInfo, uint infoLen, string _params);
//调用 QIVWRegisterNotify(...) 注册回调函数到msc。
//如果唤醒成功，msc 调用回调函数通知唤醒成功息同时给出相应唤醒数据。如果出错，msc 调用回调函数给出错误信息
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int QIVWRegisterNotify(string sessionID, [MarshalAs(UnmanagedType.FunctionPtr)]ivw_ntf_handler msgProcCb, IntPtr userData);
//调用 QIVWSessionEnd(...) 主动结束本次唤醒
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int QIVWSessionEnd(string sessionID, string hints);
#endregion
#region 语音合成
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern IntPtr QTTSSessionBegin(string _params, ref int errorCode);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int QTTSTextPut(IntPtr sessionID, string textString, uint textLen, string _params);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern IntPtr QTTSAudioGet(IntPtr sessionID, ref uint audioLen, ref SynthStatus synthStatus, ref int errorCode);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern IntPtr QTTSAudioInfo(IntPtr sessionID);
[DllImport("msc_x64", CallingConvention = CallingConvention.StdCall)]
public static extern int QTTSSessionEnd(IntPtr sessionID, string hints);
#endregion
}
public enum Errors
{
MSP_SUCCESS = 0,
MSP_ERROR_FAIL = -1,
MSP_ERROR_EXCEPTION = -2,
/* General errors 10100(0x2774) */
MSP_ERROR_GENERAL = 10100, /* 0x2774 */
MSP_ERROR_OUT_OF_MEMORY = 10101, /* 0x2775 */
MSP_ERROR_FILE_NOT_FOUND = 10102, /* 0x2776 */
MSP_ERROR_NOT_SUPPORT = 10103, /* 0x2777 */
MSP_ERROR_NOT_IMPLEMENT = 10104, /* 0x2778 */
MSP_ERROR_ACCESS = 10105, /* 0x2779 */
MSP_ERROR_INVALID_PARA = 10106, /* 0x277A */ /* 缺少参数 */
MSP_ERROR_INVALID_PARA_VALUE = 10107, /* 0x277B */ /* 无效参数值 */
MSP_ERROR_INVALID_HANDLE = 10108, /* 0x277C */
MSP_ERROR_INVALID_DATA = 10109, /* 0x277D */
MSP_ERROR_NO_LICENSE = 10110, /* 0x277E */ /* 引擎授权不足 */
MSP_ERROR_NOT_INIT = 10111, /* 0x277F */ /* 引擎未初始化,可能是引擎崩溃 */
MSP_ERROR_NULL_HANDLE = 10112, /* 0x2780 */
MSP_ERROR_OVERFLOW = 10113, /* 0x2781 */ /* 单用户下模型数超上限(10个), */
/* 只出现在测试时对一个用户进行并发注册 */
MSP_ERROR_TIME_OUT = 10114, /* 0x2782 */ /* 超时 */
MSP_ERROR_OPEN_FILE = 10115, /* 0x2783 */
MSP_ERROR_NOT_FOUND = 10116, /* 0x2784 */ /* 数据库中模型不存在 */
MSP_ERROR_NO_ENOUGH_BUFFER = 10117, /* 0x2785 */
MSP_ERROR_NO_DATA = 10118, /* 0x2786 */ /* 从客户端读音频或从引擎段获取结果时无数据 */
MSP_ERROR_NO_MORE_DATA = 10119, /* 0x2787 */
MSP_ERROR_NO_RESPONSE_DATA = 10120, /* 0x2788 */
MSP_ERROR_ALREADY_EXIST = 10121, /* 0x2789 */ /* 数据库中模型已存在 */
MSP_ERROR_LOAD_MODULE = 10122, /* 0x278A */
MSP_ERROR_BUSY = 10123, /* 0x278B */
MSP_ERROR_INVALID_CONFIG = 10124, /* 0x278C */
MSP_ERROR_VERSION_CHECK = 10125, /* 0x278D */
MSP_ERROR_CANCELED = 10126, /* 0x278E */
MSP_ERROR_INVALID_MEDIA_TYPE = 10127, /* 0x278F */
MSP_ERROR_CONFIG_INITIALIZE = 10128, /* 0x2790 */
MSP_ERROR_CREATE_HANDLE = 10129, /* 0x2791 */
MSP_ERROR_CODING_LIB_NOT_LOAD = 10130, /* 0x2792 */
MSP_ERROR_USER_CANCELLED = 10131, /* 0x2793 */
MSP_ERROR_INVALID_OPERATION = 10132, /* 0x2794 */
MSP_ERROR_MESSAGE_NOT_COMPLETE = 10133, /* 0x2795 */ /* flash */
MSP_ERROR_NO_EID = 10134, /* 0x2795 */
MSP_ERROE_OVER_REQ = 10135, /* 0x2797 */ /* client Redundancy request */
MSP_ERROR_USER_ACTIVE_ABORT = 10136, /* 0x2798 */ /* user abort */
MSP_ERROR_BUSY_GRMBUILDING = 10137, /* 0x2799 */
MSP_ERROR_BUSY_LEXUPDATING = 10138, /* 0x279A */
MSP_ERROR_SESSION_RESET = 10139, /* 0x279B */ /* msc主动终止会话，准备重传 */
MSP_ERROR_BOS_TIMEOUT = 10140, /* 0x279C */ /* VAD前端点超时 */
MSP_ERROR_STREAM_FILTER = 10141, /* 0X279D */ /* AIUI当前Stream被过滤 */
MSP_ERROR_STREAM_CLEAR = 10142, /* 0X279E */ /* AIUI当前Stream被清理 */
/* Error codes of network 10200(0x27D8)*/
MSP_ERROR_NET_GENERAL = 10200, /* 0x27D8 */
MSP_ERROR_NET_OPENSOCK = 10201, /* 0x27D9 */ /* Open socket */
MSP_ERROR_NET_CONNECTSOCK = 10202, /* 0x27DA */ /* Connect socket */
MSP_ERROR_NET_ACCEPTSOCK = 10203, /* 0x27DB */ /* Accept socket */
MSP_ERROR_NET_SENDSOCK = 10204, /* 0x27DC */ /* Send socket data */
MSP_ERROR_NET_RECVSOCK = 10205, /* 0x27DD */ /* Recv socket data */
MSP_ERROR_NET_INVALIDSOCK = 10206, /* 0x27DE */ /* Invalid socket handle */
MSP_ERROR_NET_BADADDRESS = 10207, /* 0x27EF */ /* Bad network address */
MSP_ERROR_NET_BINDSEQUENCE = 10208, /* 0x27E0 */ /* Bind after listen/connect */
MSP_ERROR_NET_NOTOPENSOCK = 10209, /* 0x27E1 */ /* Socket is not opened */
MSP_ERROR_NET_NOTBIND = 10210, /* 0x27E2 */ /* Socket is not bind to an address */
MSP_ERROR_NET_NOTLISTEN = 10211, /* 0x27E3 */ /* Socket is not listening */
MSP_ERROR_NET_CONNECTCLOSE = 10212, /* 0x27E4 */ /* The other side of connection is closed */
MSP_ERROR_NET_NOTDGRAMSOCK = 10213, /* 0x27E5 */ /* The socket is not datagram type */
MSP_ERROR_NET_DNS = 10214, /* 0x27E6 */ /* domain name is invalid or dns server does not function well */
MSP_ERROR_NET_INIT = 10215, /* 0x27E7 */ /* ssl ctx create failed */
/*nfl error*/
MSP_ERROR_NFL_INNER_ERROR = 10216, /* NFL inner error */
MSP_ERROR_MSS_TIME_OUT = 10217, /* MSS TIMEOUT */
MSP_ERROT_CLIENT_TIME_OUT = 10218, /* CLIENT TIMEOUT */
MSP_ERROR_CLIENT_CLOSE = 10219, /* CLIENT CLOSED CONNECTION */
MSP_ERROR_CLIENT_AREA_CHANGE = 10220,
MSP_ERROR_NET_SSL_HANDSHAKE = 10221,
MSP_ERROR_NET_INVALID_ROOT_CERT = 10222,
MSP_ERROR_NET_INVALID_CLIENT_CERT = 10223,
MSP_ERROR_NET_INVALID_SERVER_CERT = 10224,
MSP_ERROR_NET_INVALID_KEY = 10225,
MSP_ERROR_NET_CERT_VERIFY_FAILED = 10226,
MSP_ERROR_NET_WOULDBLOCK = 10227,
MSP_ERROR_NET_NOTBLOCK = 10228,
/* Error codes of mssp message 10300(0x283C) */
MSP_ERROR_MSG_GENERAL = 10300, /* 0x283C */
MSP_ERROR_MSG_PARSE_ERROR = 10301, /* 0x283D */
MSP_ERROR_MSG_BUILD_ERROR = 10302, /* 0x283E */
MSP_ERROR_MSG_PARAM_ERROR = 10303, /* 0x283F */
MSP_ERROR_MSG_CONTENT_EMPTY = 10304, /* 0x2840 */
MSP_ERROR_MSG_INVALID_CONTENT_TYPE = 10305, /* 0x2841 */
MSP_ERROR_MSG_INVALID_CONTENT_LENGTH = 10306, /* 0x2842 */
MSP_ERROR_MSG_INVALID_CONTENT_ENCODE = 10307, /* 0x2843 */
MSP_ERROR_MSG_INVALID_KEY = 10308, /* 0x2844 */
MSP_ERROR_MSG_KEY_EMPTY = 10309, /* 0x2845 */
MSP_ERROR_MSG_SESSION_ID_EMPTY = 10310, /* 0x2846 */ /* 会话ID为空 */
MSP_ERROR_MSG_LOGIN_ID_EMPTY = 10311, /* 0x2847 */ /* 音频序列ID为空 */
MSP_ERROR_MSG_SYNC_ID_EMPTY = 10312, /* 0x2848 */
MSP_ERROR_MSG_APP_ID_EMPTY = 10313, /* 0x2849 */
MSP_ERROR_MSG_EXTERN_ID_EMPTY = 10314, /* 0x284A */
MSP_ERROR_MSG_INVALID_CMD = 10315, /* 0x284B */
MSP_ERROR_MSG_INVALID_SUBJECT = 10316, /* 0x284C */
MSP_ERROR_MSG_INVALID_VERSION = 10317, /* 0x284D */
MSP_ERROR_MSG_NO_CMD = 10318, /* 0x284E */
MSP_ERROR_MSG_NO_SUBJECT = 10319, /* 0x284F */
MSP_ERROR_MSG_NO_VERSION = 10320, /* 0x2850 */
MSP_ERROR_MSG_MSSP_EMPTY = 10321, /* 0x2851 */
MSP_ERROR_MSG_NEW_RESPONSE = 10322, /* 0x2852 */
MSP_ERROR_MSG_NEW_CONTENT = 10323, /* 0x2853 */
MSP_ERROR_MSG_INVALID_SESSION_ID = 10324, /* 0x2854 */ /* 无效的会话ID(sid) */
MSP_ERROR_MSG_INVALID_CONTENT = 10325, /* 0x2855 */
/* Error codes of DataBase 10400(0x28A0)*/
MSP_ERROR_DB_GENERAL = 10400, /* 0x28A0 */ /* 数据库异常 */
MSP_ERROR_DB_EXCEPTION = 10401, /* 0x28A1 */
MSP_ERROR_DB_NO_RESULT = 10402, /* 0x28A2 */ /* redis中没有找到会话ID(sid) */
MSP_ERROR_DB_INVALID_USER = 10403, /* 0x28A3 */
MSP_ERROR_DB_INVALID_PWD = 10404, /* 0x28A4 */
MSP_ERROR_DB_CONNECT = 10405, /* 0x28A5 */
MSP_ERROR_DB_INVALID_SQL = 10406, /* 0x28A6 */
MSP_ERROR_DB_INVALID_APPID = 10407, /* 0x28A7 */
MSP_ERROR_DB_NO_UID = 10408,
/* Error codes of Resource 10500(0x2904)*/
MSP_ERROR_RES_GENERAL = 10500, /* 0x2904 */
MSP_ERROR_RES_LOAD = 10501, /* 0x2905 */ /* Load resource */
MSP_ERROR_RES_FREE = 10502, /* 0x2906 */ /* Free resource */
MSP_ERROR_RES_MISSING = 10503, /* 0x2907 */ /* Resource File Missing */
MSP_ERROR_RES_INVALID_NAME = 10504, /* 0x2908 */ /* Invalid resource file name */
MSP_ERROR_RES_INVALID_ID = 10505, /* 0x2909 */ /* Invalid resource ID */
MSP_ERROR_RES_INVALID_IMG = 10506, /* 0x290A */ /* Invalid resource image pointer */
MSP_ERROR_RES_WRITE = 10507, /* 0x290B */ /* Write read-only resource */
MSP_ERROR_RES_LEAK = 10508, /* 0x290C */ /* Resource leak out */
MSP_ERROR_RES_HEAD = 10509, /* 0x290D */ /* Resource head currupt */
MSP_ERROR_RES_DATA = 10510, /* 0x290E */ /* Resource data currupt */
MSP_ERROR_RES_SKIP = 10511, /* 0x290F */ /* Resource file skipped */
/* Error codes of TTS 10600(0x2968)*/
MSP_ERROR_TTS_GENERAL = 10600, /* 0x2968 */
MSP_ERROR_TTS_TEXTEND = 10601, /* 0x2969 */ /* Meet text end */
MSP_ERROR_TTS_TEXT_EMPTY = 10602, /* 0x296A */ /* no synth text */
MSP_ERROR_TTS_LTTS_ERROR = 10603, /* 0x296B */
/* Error codes of Recognizer 10700(0x29CC) */
MSP_ERROR_REC_GENERAL = 10700, /* 0x29CC */ /* 引擎异常 */
MSP_ERROR_REC_INACTIVE = 10701, /* 0x29CD */
MSP_ERROR_REC_GRAMMAR_ERROR = 10702, /* 0x29CE */
MSP_ERROR_REC_NO_ACTIVE_GRAMMARS = 10703, /* 0x29CF */
MSP_ERROR_REC_DUPLICATE_GRAMMAR = 10704, /* 0x29D0 */
MSP_ERROR_REC_INVALID_MEDIA_TYPE = 10705, /* 0x29D1 */
MSP_ERROR_REC_INVALID_LANGUAGE = 10706, /* 0x29D2 */
MSP_ERROR_REC_URI_NOT_FOUND = 10707, /* 0x29D3 */
MSP_ERROR_REC_URI_TIMEOUT = 10708, /* 0x29D4 */
MSP_ERROR_REC_URI_FETCH_ERROR = 10709, /* 0x29D5 */
MSP_ERROR_REC_PROC_MOD = 10710, /* 0x29D6 */
/* Error codes of Speech Detector 10800(0x2A30) */
MSP_ERROR_EP_GENERAL = 10800, /* 0x2A30 */
MSP_ERROR_EP_NO_SESSION_NAME = 10801, /* 0x2A31 */
MSP_ERROR_EP_INACTIVE = 10802, /* 0x2A32 */
MSP_ERROR_EP_INITIALIZED = 10803, /* 0x2A33 */
/* Error codes of TUV */
MSP_ERROR_TUV_GENERAL = 10900, /* 0x2A94 */
MSP_ERROR_TUV_GETHIDPARAM = 10901, /* 0x2A95 */ /* Get Busin Param huanid*/
MSP_ERROR_TUV_TOKEN = 10902, /* 0x2A96 */ /* Get Token */
MSP_ERROR_TUV_CFGFILE = 10903, /* 0x2A97 */ /* Open cfg file */
MSP_ERROR_TUV_RECV_CONTENT = 10904, /* 0x2A98 */ /* received content is error */
MSP_ERROR_TUV_VERFAIL = 10905, /* 0x2A99 */ /* Verify failure */
/* Error codes of IMTV */
MSP_ERROR_LOGIN_SUCCESS = 11000, /* 0x2AF8 */ /* 成功 */
MSP_ERROR_LOGIN_NO_LICENSE = 11001, /* 0x2AF9 */ /* 试用次数结束，用户需要付费 */
MSP_ERROR_LOGIN_SESSIONID_INVALID = 11002, /* 0x2AFA */ /* SessionId失效，需要重新登录通行证 */
MSP_ERROR_LOGIN_SESSIONID_ERROR = 11003, /* 0x2AFB */ /* SessionId为空，或者非法 */
MSP_ERROR_LOGIN_UNLOGIN = 11004, /* 0x2AFC */ /* 未登录通行证 */
MSP_ERROR_LOGIN_INVALID_USER = 11005, /* 0x2AFD */ /* 用户ID无效 */
MSP_ERROR_LOGIN_INVALID_PWD = 11006, /* 0x2AFE */ /* 用户密码无效 */
MSP_ERROR_LOGIN_SYSTEM_ERROR = 11099, /* 0x2B5B */ /* 系统错误 */
/* Error codes of HCR */
MSP_ERROR_HCR_GENERAL = 11100,
MSP_ERROR_HCR_RESOURCE_NOT_EXIST = 11101,
MSP_ERROR_HCR_CREATE = 11102,
MSP_ERROR_HCR_DESTROY = 11103,
MSP_ERROR_HCR_START = 11104,
MSP_ERROR_HCR_APPEND_STROKES = 11105,
MSP_ERROR_HCR_INIT = 11106,
MSP_ERROR_HCR_POINT_DECODE = 11107,
MSP_ERROR_HCR_DISPATCH = 11108,
MSP_ERROR_HCR_GETRESULT = 11109,
MSP_ERROR_HCR_RESOURCE = 11110,
/* Error Codes using in local engine */
MSP_ERROR_AUTH_NO_LICENSE = 11200, /* 0x2BC0 */ /* 无授权 */
MSP_ERROR_AUTH_NO_ENOUGH_LICENSE = 11201, /* 0x2BC1 */ /* 授权不足 */
MSP_ERROR_AUTH_INVALID_LICENSE = 11202, /* 0x2BC2 */ /* 无效的授权 */
MSP_ERROR_AUTH_LICENSE_EXPIRED = 11203, /* 0x2BC3 */ /* 授权过期 */
MSP_ERROR_AUTH_NEED_MORE_DATA = 11204, /* 0x2BC4 */ /* 无设备信息 */
MSP_ERROR_AUTH_LICENSE_TO_BE_EXPIRED = 11205, /* 0x2BC5 */ /* 授权即将过期，警告性错误码 */
MSP_ERROR_AUTH_INVALID_MACHINE_ID = 11206, /* 0x2BC6 */ /* 无效的机器码 */
MSP_ERROR_AUTH_LOCAL_ASR_FORBIDDEN = 11207, /* 0x2BC7 */ /* 禁止使用本地识别引擎 */
MSP_ERROR_AUTH_LOCAL_TTS_FORBIDDEN = 11208, /* 0x2BC8 */ /* 禁止使用本地合成引擎 */
MSP_ERROR_AUTH_LOCAL_IVW_FORBIDDEN = 11209, /* 0x2BC9 */ /* 禁止使用本地唤醒引擎 */
MSP_ERROR_AUTH_APPID_NOT_MATCH = 11210, /* 0x2BCA */ /* 资源appid和应用appid不匹配 */
MSP_ERROR_AUTH_UID_NOT_MATCH = 11211, /* 0x2BCB */ /* 资源uid和登录用户uid不匹配 */
MSP_ERROR_AUTH_TRIAL_EXPIRED = 11212, /* 0x2BCC */ /* 试用资源过期 */
MSP_ERROR_AUTH_LOCAL_IFD_FORBIDDEN = 11213, /* 0x2BC9 */ /* 禁止使用本地人脸引擎 */
MSP_ERROR_AIUI_NO_ENOUGH_LICENSE = 11216, /* 0x2BD0 */ /* AIUI授权不足 */
/*Error Codes of Authorization*/
MSP_ERROR_AUTH_DVC_NO_LICENSE = 11300,
MSP_ERROR_AUTH_DVC_NO_ENOUGH_LICENSE = 11301,
MSP_ERROR_AUTH_DVC_INVALID_LICENSE = 11302,
MSP_ERROR_AUTH_DVC_LICENSE_EXPIRED = 11303,
MSP_ERROR_AUTH_DVC_NEED_MORE_DATA = 11304,
MSP_ERROR_AUTH_DVC_LICENSE_TO_BE_EXPIRED = 11305,
MSP_ERROR_AUTH_DVC_EXCEED_LICENSE = 11306,
/* Error codes of Ise */
MSP_ERROR_ASE_EXCEP_SILENCE = 11401,
MSP_ERROR_ASE_EXCEP_SNRATIO = 11402,
MSP_ERROR_ASE_EXCEP_PAPERDATA = 11403,
MSP_ERROR_ASE_EXCEP_PAPERCONTENTS = 11404,
MSP_ERROR_ASE_EXCEP_NOTMONO = 11405,
MSP_ERROR_ASE_EXCEP_OTHERS = 11406,
MSP_ERROR_ASE_EXCEP_PAPERFMT = 11407,
MSP_ERROR_ASE_EXCEP_ULISTWORD = 11408,
/* Error codes of Iot */
MSP_ERROR_IOT_BASE = 11500,
MSP_ERROR_IOT_PARAM_ERROR = 11501, // param error
MSP_ERROR_IOT_INVALID_SERVICE = 11502, // invalid service for iot ProTranServer
MSP_ERROR_IOT_INVALID_PRODUCTID = 11503, // invalid productid for ProTranServer
MSP_EEROR_IOT_INVALID_ATTR = 11504, // invalid attr value for one product in ProTranServer
MSP_ERROR_IOT_INVALID_PLATFORM = 11505, // invalid platform for ProTranServer
MSP_ERROR_IOT_DID_NOT_FOUND = 11506, // not found device id in semantic
/* Error codes of IVP */
MSP_ERROR_IVP_GENERAL = 11600, // 内核异常
MSP_ERROR_IVP_EXTRA_RGN_SOPPORT = 11601, // 注册时向引擎所写音频条数超过上限(9次)
MSP_ERROR_IVP_TRUNCATED = 11602, // 音频截幅(因信号波形的幅度太大，而超出系统的线性范围)，如记录尖叫声的音频
MSP_ERROR_IVP_MUCH_NOISE = 11603, // 音频信噪比过低
MSP_ERROR_IVP_TOO_LOW = 11604, // 音频能量过低
MSP_ERROR_IVP_ZERO_AUDIO = 11605, // 无音频
MSP_ERROR_IVP_UTTER_TOO_SHORT = 11606, // 音频太短
MSP_ERROR_IVP_TEXT_NOT_MATCH = 11607, // 1.音频和文本不匹配，常见原因1.抢读(在按下录音键之前读)
// 2.录音机的启动电流被录入表现在音频上是在音频首有冲击电流 3.确实不匹配"
MSP_ERROR_IVP_NO_ENOUGH_AUDIO = 11608, // 音频不够，注册*说，而写入的音频又不够长时会报，告诉调用者继续传音频
MSP_ERROR_IVP_MODEL_NOT_FOUND_IN_HBASE = 11610, // 模型在hbase中没找到
/* Error codes of Face */
MSP_ERROR_IFR_NOT_FACE_IMAGE = 11700, // 【无人脸，对应的引擎错误码是20200 】
MSP_ERROR_FACE_IMAGE_FULL_LEFT = 11701, // 【人脸向左，对应的引擎错误码是20201】
MSP_ERROR_FACE_IMAGE_FULL_RIGHT = 11702, // 【人脸向右，对应的引擎错误码是20202】
MSP_ERROR_IMAGE_CLOCKWISE_WHIRL = 11703, // 【顺时针旋转，对应的引擎错误码是20203】
MSP_ERROR_IMAGE_COUNTET_CLOCKWISE_WHIRL = 11704, // 【逆时针旋转，对应的引擎错误码是20204】
MSP_ERROR_VALID_IMAGE_SIZE = 11705, // 【图片大小异常 ，对应的引擎错误码是20205】
MSP_ERROR_ILLUMINATION = 11706, // 【光照异常，对应的引擎错误码是20206】
MSP_ERROR_FACE_OCCULTATION = 11707, // 【人脸被遮挡，对应的引擎错误码是20207】
MSP_ERROR_FACE_INVALID_MODEL = 11708, // 【非法模型数据，对应的引擎错误码是20208】
MSP_ERROR_FUSION_INVALID_INPUT_TYPE = 11709, // 【输入数据类型非法，对应的引擎错误码是20300】
MSP_ERROR_FUSION_NO_ENOUGH_DATA = 11710, // 【输入的数据不完整，对应的引擎错误码是20301】
MSP_ERROR_FUSION_ENOUGH_DATA = 11711, // 【输入的数据过多，对应的引擎错误码是20302】
/*Error Codes of AIUI*/
MSP_ERROR_AIUI_CID_EXPIRED = 11800,
/*Error Codes of Encoder*/
MSP_ERROR_ICT_ENCODER = 11900,
/* Error codes of http 12000(0x2EE0) */
MSP_ERROR_HTTP_BASE = 12000, /* 0x2EE0 */
MSP_ERROR_HTTP_400 = 12400,
MSP_ERROR_HTTP_401 = 12401,
MSP_ERROR_HTTP_402 = 12402,
MSP_ERROR_HTTP_403 = 12403,
MSP_ERROR_HTTP_404 = 12404,
MSP_ERROR_HTTP_405 = 12405,
MSP_ERROR_HTTP_406 = 12406,
MSP_ERROR_HTTP_407 = 12407,
MSP_ERROR_HTTP_408 = 12408,
MSP_ERROR_HTTP_409 = 12409,
MSP_ERROR_HTTP_410 = 12410,
MSP_ERROR_HTTP_411 = 12411,
MSP_ERROR_HTTP_412 = 12412,
MSP_ERROR_HTTP_413 = 12413,
MSP_ERROR_HTTP_414 = 12414,
MSP_ERROR_HTTP_415 = 12415,
MSP_ERROR_HTTP_416 = 12416,
MSP_ERROR_HTTP_417 = 12417,
MSP_ERROR_HTTP_500 = 12500,
MSP_ERROR_HTTP_501 = 12501,
MSP_ERROR_HTTP_502 = 12502,
MSP_ERROR_HTTP_503 = 12503,
MSP_ERROR_HTTP_504 = 12504,
MSP_ERROR_HTTP_505 = 12505,
/*Error codes of ISV */
MSP_ERROR_ISV_NO_USER = 13000, /* 32C8 */ /* the user doesn't exist */
/* Error codes of Lua scripts */
MSP_ERROR_LUA_BASE = 14000, /* 0x36B0 */
MSP_ERROR_LUA_YIELD = 14001, /* 0x36B1 */
MSP_ERROR_LUA_ERRRUN = 14002, /* 0x36B2 */
MSP_ERROR_LUA_ERRSYNTAX = 14003, /* 0x36B3 */
MSP_ERROR_LUA_ERRMEM = 14004, /* 0x36B4 */
MSP_ERROR_LUA_ERRERR = 14005, /* 0x36B5 */
MSP_ERROR_LUA_INVALID_PARAM = 14006, /* 0x36B6 */
/* Error codes of MMP */
MSP_ERROR_MMP_BASE = 15000, /* 0x3A98 */
MSP_ERROR_MMP_MYSQL_INITFAIL = 15001, /* 0x3A99 */
MSP_ERROR_MMP_REDIS_INITFAIL = 15002, /* 0x3A9A */
MSP_ERROR_MMP_NETDSS_INITFAIL = 15003, /* 0x3A9B */
MSP_ERROR_MMP_TAIR_INITFAIL = 15004, /* 0x3A9C */
MSP_ERROR_MMP_MAIL_SESSION_FAIL = 15006, /* 0x3A9E */ /* 邮件登陆服务器时，会话错误。*/
MSP_ERROR_MMP_MAIL_LOGON_FAIL = 15007, /* 0x3A9F */ /* 邮件登陆服务器时，拒绝登陆。*/
MSP_ERROR_MMP_MAIL_USER_ILLEGAL = 15008, /* 0x3AA0 */ /* 邮件登陆服务器时，用户名非法。*/
MSP_ERROR_MMP_MAIL_PWD_ERR = 15009, /* 0x3AA1 */ /* 邮件登陆服务器时，密码错误。*/
MSP_ERROR_MMP_MAIL_SOCKET_ERR = 15010, /* 0x3AA2 */ /* 邮件发送过程中套接字错误*/
MSP_ERROR_MMP_MAIL_INIT_FAIL = 15011, /* 0x3AA3 */ /* 邮件初始化错误*/
MSP_ERROR_MMP_STORE_MNR_NO_INIT = 15012, /* 0x3AA4 */ /* store_manager未初始化，或初始化失败*/
MSP_ERROR_MMP_STORE_MNR_POOL_FULL = 15013, /* 0x3AA5 */ /* store_manager的连接池满了*/
MSP_ERROR_MMP_STRATGY_PARAM_ILLEGAL = 15014, /* 0x3AA6 */ /* 报警策略表达式非法*/
MSP_ERROR_MMP_STRATGY_PARAM_TOOLOOG = 15015, /* 0x3AA7 */ /* 报警策略表达式太长*/
MSP_ERROR_MMP_PARAM_NULL = 15016, /* 0x3AA8 */ /* 函数参数为空*/
MSP_ERROR_MMP_ERR_MORE_TOTAL = 15017, /* 0x3AA9 */ /* pms插入数据库中错误汇总表的数据，错误次数 > 总次数。*/
MSP_ERROR_MMP_PROC_THRESHOLD = 15018, /* 0x3AAA */ /* 进程监控阀值设置错误*/
MSP_ERROR_MMP_SERVER_THRESHOLD = 15019, /* 0x3AAB */ /* 服务器监控阀值设置错误*/
MSP_ERROR_MMP_PYTHON_NO_EXIST = 15020, /* 0x3AAC */ /* python脚本文件不存在 */
MSP_ERROR_MMP_PYTHON_IMPORT_FAILED = 15021, /* 0x3AAD */ /* python脚本导入出错 */
MSP_ERROR_MMP_PYTHON_BAD_FUNC = 15022, /* 0x3AAE */ /* python脚本函数格式错误 */
MSP_ERROR_MMP_DB_DATA_ILLEGAL = 15023, /* 0x3AAF */ /* 插入数据库中的数据格式有误 */
MSP_ERROR_MMP_REDIS_NOT_CONN = 15024, /* 0x3AB0 */ /* redis没有连接到服务端 */
MSP_ERROR_MMP_PMA_NOT_FOUND_STRATEGY = 15025, /* 0x3AB1 */ /* 没有找到报警策略 */
MSP_ERROR_MMP_TAIR_CONNECT = 15026, /* 0x3AB2 */ /* 连接tair集群失败 */
MSP_ERROR_MMP_PMC_SERVINFO_INVALID = 15027, /* Ox3AB3 */ /* 此pmc的服务器信息已经无效 */
MSP_ERROR_MMP_ALARM_GROUP_NULL = 15028, /* Ox3AB4 */ /* 服务器报警的短信报警组与邮件报警组均为空 */
MSP_ERROR_MMP_ALARM_CONTXT_NULL = 15029, /* Ox3AB5 */ /* 服务器报警的报警内容为空 */
/* Error codes of MSC(lmod loader) */
MSP_ERROR_LMOD_BASE = 16000, /* 0x3E80 */
MSP_ERROR_LMOD_NOT_FOUND = 16001, /* 0x3E81 */ /* 没找到lmod文件 */
MSP_ERROR_LMOD_UNEXPECTED_BIN = 16002, /* 0x3E82 */ /* 无效的lmod */
MSP_ERROR_LMOD_LOADCODE = 16003, /* 0x3E83 */ /* 加载lmod指令失败 */
MSP_ERROR_LMOD_PRECALL = 16004, /* 0x3E84 */ /* 初始化lmod失败 */
MSP_ERROR_LMOD_RUNTIME_EXCEPTION = 16005, /* 0x3E85 */ /* lmod运行时异常 */
MSP_ERROR_LMOD_ALREADY_LOADED = 16006, /* 0x3E86 */ /* lmod重复加载 */
// Error code of Third Business
MSP_ERROR_BIZ_BASE = 17000, /* 0x4268 */ /* 三方业务错误码 */
//Error of Nginx errlog file increase exception
MSP_ERROR_NGX_LOG_MORE_TOTEL_SIZE = 18000, /*nginx错误日志大小异常*/
//Error of Flash client when network checking
MSP_ERROR_FLASH_NETWORK_CONNECT_FIALED = 19000, /*flash服务端网络连接失败*/
MSP_ERROR_FLASH_NETWORK_CHECK_FIALED = 19001, /*flash服务端响应了异常消息*/
MSP_ERROR_FLASH_NETWORK_CHECK_TIMEOUT = 19002, /*flash服务端网络超时*/
MSP_ERROR_FLASH_NETWORK_CLOSED_EXCEPTION = 19003, /*flash服务端网络异常关闭*/
/*Error Code Of Speech plus*/
SPEECH_ERROR_NO_NETWORK = 20001, /* 无有效的网络连接*/
SPEECH_ERROR_NETWORK_TIMEOUT = 20002, /* 网络连接超时*/
SPEECH_ERROR_NET_EXPECTION = 20003, /* 网络异常*/
SPEECH_ERROR_INVALID_RESULT = 20004, /* 无有效的结果*/
SPEECH_ERROR_NO_MATCH = 20005, /* 无匹配结果 */
SPEECH_ERROR_AUDIO_RECORD = 20006, /* 录音失败 */
SPEECH_ERROR_NO_SPPECH = 20007, /* 未检测到语音*/
SPEECH_ERROR_SPEECH_TIMEOUT = 20008, /* 音频输入超时*/
SPEECH_ERROR_EMPTY_UTTERANCE = 20009, /* 无效的文本输入 */
SPEECH_ERROR_FILE_ACCESS = 20010, /* 文件读写失败 */
SPEECH_ERROR_PLAY_MEDIA = 20011, /* 音频播放失败 */
SPEECH_ERROR_INVALID_PARAM = 20012, /* 无效的参数*/
SPEECH_ERROR_TEXT_OVERFLOW = 20013, /* 文本溢出 */
SPEECH_ERROR_INVALID_DATA = 20014, /* 无效数据 */
SPEECH_ERROR_LOGIN = 20015, /* 用户未登陆*/
SPEECH_ERROR_PERMISSION_DENIED = 20016, /* 无效授权 */
SPEECH_ERROR_INTERRUPT = 20017, /* 被异常打断 */
SPEECH_ERROR_VERSION_LOWER = 20018, /* 版本过低 */
SPEECH_CLIENT_ERROR_ISUSING = 20019, /* 录音机被占用(iOS平台) */
SPEECH_ERROR_SYSTEM_PREINSTALL = 20020, /* 系统预置版本 */
SPEECH_ERROR_UNSATISFIED_LINK = 20021, /* 未实现的Native函数引用 */
SPEECH_ERROR_UNKNOWN = 20999, /* 未知错误 */
SPEECH_ERROR_COMPONENT_NOT_INSTALLED = 21001, /* 没有安装语音组件 */
SPEECH_ERROR_ENGINE_NOT_SUPPORTED = 21002, /* 引擎不支持 */
SPEECH_ERROR_ENGINE_INIT_FAIL = 21003, /* 初始化失败 */
SPEECH_ERROR_ENGINE_CALL_FAIL = 21004, /* 调用失败 */
SPEECH_ERROR_ENGINE_BUSY = 21005, /* 引擎繁忙 */
SPEECH_ERROR_LOCAL_NO_INIT = 22001, /* 本地引擎未初始化 */
SPEECH_ERROR_LOCAL_RESOURCE = 22002, /* 本地引擎无资源 */
SPEECH_ERROR_LOCAL_ENGINE = 22003, /* 本地引擎内部错误 */
SPEECH_ERROR_IVW_INTERRUPT = 22004, /* 本地唤醒引擎被异常打断 */
/*Error Code Of Local iflytek Engines*/
/*Error Code Of AiTalk*/
/*Error Code Of AiTalk Operation*/
SPEECH_SUCCESS = 0, // ivErr_OK = 0 /*成功状态*/
SPEECH_ERROR_ASR_CLIENT = 23000, /*客户端应用程序错误*///?????????
SPEECH_ERROR_ASR_INVALID_PARA = 23001, /*无效的参数*/
SPEECH_ERROR_ASR_INVALID_PARA_VALUE = 23002, /*无效的参数值*/
SPEECH_ERROR_ASR_OUT_OF_MEMORY = 23003, /*内存耗尽*/
SPEECH_ERROR_ASR_CREATE_HANDLE_FAILED = 23004, /*创建句柄失败*/
SPEECH_ERROR_ASR_ENGINE_INIT_FAILED = 23005, /*引擎初始化失败*/
SPEECH_ERROR_ASR_ENGINE_STARTED = 23006, /*引擎已经启动*/
SPEECH_ERROR_ASR_ENGINE_UNINIT = 23007, /*引擎未初始化*/
SPEECH_ERROR_ASR_SPEECH_TIMEOUT = 23008, /*识别超时（VAD没开启或没有检测到后端点）*/
SPEECH_ERROR_ASR_NO_RECOGNIZED_RESULT = 23009, /*无识别结果*/
SPEECH_ERROR_ASR_INVALID_HANDLE = 23010, /*无效的句柄*/
SPEECH_ERROR_ASR_FILE_ACCESS = 23011, /*打开文件失败*/
/*Error Code Of AiTalk Engine*/
SPEECH_ERROR_AITALK_FALSE = 23100, // ivErr_FALSE = 1
/* For license check */
SPEECH_ERROR_AITALK_PERMISSION_DENIED = 23101, // ivErr_InvSN = 2
/* General */
SPEECH_ERROR_AITALK_INVALID_PARA = 23102, // ivErr_InvArg = 3
SPEECH_ERROR_AITALK_BUFFER_OVERFLOW = 23103, // ivErr_BufferFull = 4 /*音频数据缓冲区已满*/
SPEECH_ERROR_AITALK_FAILED = 23104, // ivErr_Failed = 5
SPEECH_ERROR_AITALK_NOT_SUPPORTED = 23105, // ivErr_NotSupport = 6 /*引擎不支持*/
SPEECH_ERROR_AITALK_OUT_OF_MEMORY = 23106, // ivErr_OutOfMemory = 7
SPEECH_ERROR_AITALK_INVALID_RESOURCE = 23107, // ivErr_InvResource = 8 /*资源无效*/
SPEECH_ERROR_AITALK_NOT_FOUND = 23108, // ivErr_NotFound = 9 /*打开文件失败*/
SPEECH_ERROR_AITALK_INVALID_GRAMMAR = 23109, // ivErr_InvGrmr = 10 /*识别语法错误*/
/* For object status */
SPEECH_ERROR_AITALK_INVALID_CALL = 23110, // ivErr_InvCall = 11 /*无效调用*/
/* For ASR Input */
SPEECH_ERROR_AITALK_SYNTAX_ERROR = 23111, // ivErr_InvCall = 12
/* For Message Call Back */
SPEECH_ERROR_AITALK_RESET = 23112, // ivErr_Reset = 13
SPEECH_ERROR_AITALK_ENDED = 23113, // ivErr_Ended = 14
SPEECH_ERROR_AITALK_IDLE = 23114, // ivErr_Idle = 15
SPEECH_ERROR_AITALK_CANNOT_SAVE_FILE = 23115, // ivErr_CanNotSaveFile = 16
/* For Lexicon name */
SPEECH_ERROR_AITALK_INVALID_GRAMMAR_NAME = 23116, // ivErr_InvName = 17 /*文法或词典名称非法*/
SPEECH_ERROR_AITALK_BUFFER_EMPTY = 23117, // ivErr_BufferEmpty = 18
SPEECH_ERROR_AITALK_GET_RESULT = 23118, // ivErr_GetResult = 19
SPEECH_ERROR_AITALK_REACT_OUT_TIME = 23119, // ivErr_ReactOutTime = 20 /*反应超时*/
SPEECH_ERROR_AITALK_SPEECH_OUT_TIME = 23120, // ivErr_SpeechOutTime = 21 /*语音超时*/
SPEECH_ERROR_AITALK_AUDIO_CUT = 23121, // ivErr_CUT = 22 /*录音质量过高*/
SPEECH_ERROR_AITALK_AUDIO_LOWER = 23122, // ivErr_LOWER = 23 /*录音质量过低*/
SPEECH_ERROR_AITALK_INSUFFICIENT_PERMISSIONS = 23123, // ivErr_Limitted = 24 /*授权不够*/
SPEECH_ERROR_AITALK_RESULT_ERROR = 23124, // ivErr_ResultError = 25 /*解码器Wfst输出后，依然有cmd输出*/
SPEECH_ERROR_AITALK_SHORT_PAUSE = 23125, // ivErr_ShortPause = 26
SPEECH_ERROR_AITALK_BUSY = 23126, // ivErr_Busy = 27
SPEECH_ERROR_AITALK_GRM_NOT_UPDATE = 23127, // ivErr_GrmNotUpdate = 28 /*语法未更新*/
SPEECH_ERROR_AITALK_STARTED = 23128, // ivErr_Started = 29
SPEECH_ERROR_AITALK_STOPPED = 23129, // ivErr_Stopped = 30
SPEECH_ERROR_AITALK_ALREADY_STARTED = 23130, // ivErr_AlreadyStarted = 31
SPEECH_ERROR_AITALK_ALREADY_STOPPED = 23131, // ivErr_AlreadyStopped = 32
SPEECH_ERROR_AITALK_TOO_MANY_COMMAND = 23132, // ivErr_TooManyCmd = 33
SPEECH_ERROR_AITALK_WAIT = 23133, // ivErr_Wait = 34 /*程序可能在做一些操作，主线程需要等待*/
SPEECH_ERROR_AITALK_MAE_RIGHT = 23134, // ivErr_MAERight = 35
SPEECH_ERROR_AITALK_MAE_WRONG = 23135, // ivErr_MAEWrong = 36
SPEECH_ERROR_AITALK_GRM_ERR = 23300, // 语法错误
/*Error Code Of AiSound*/
/*Error Code Of AiSound Operation*/
SPEECH_ERROR_TTS_INVALID_PARA = 24000, /* 错误参数 */
SPEECH_ERROR_TTS_INVALID_PARA_VALUE = 24001, /* 无效的参数值*/
SPEECH_ERROR_TTS_OUT_OF_MEMORY = 24002, /* 内存不足*/
SPEECH_ERROR_TTS_INVALID_HANDLE = 24003, /* 无效的句柄*/
SPEECH_ERROR_TTS_CREATE_HANDLE_FAILED = 24004, /* 创建句柄失败*/
SPEECH_ERROR_TTS_INVALID_RESOURCE = 24005, /* 无效资源 */
SPEECH_ERROR_TTS_INVALID_VOICE_NAME = 24006, /* 无效发言人*/
SPEECH_ERROR_TTS_ENGINE_UNINIT = 24007, /* 引擎未初始化 */
SPEECH_ERROR_TTS_ENGINE_INIT_FAILED = 24008, /* 引擎初始化失败 */
SPEECH_ERROR_TTS_ENGINE_BUSY = 24009, /* 引擎忙 */
/*Error Code Of AiSound Engine*/
SPEECH_ERROR_AISOUND_BASE = 24100,
SPEECH_ERROR_AISOUND_UNIMPEMENTED = 24100, /* unimplemented function */
SPEECH_ERROR_AISOUND_UNSUPPORTED = 24101, /* unsupported on this platform */
SPEECH_ERROR_AISOUND_INVALID_HANDLE = 24102, /* invalid handle */
SPEECH_ERROR_AISOUND_INVALID_PARA = 24103, /* invalid parameter(s) */
SPEECH_ERROR_AISOUND_INSUFFICIENT_HEAP = 24104, /* insufficient heap size */
SPEECH_ERROR_AISOUND_STATE_REFUSE = 24105, /* refuse to do in current state */
SPEECH_ERROR_AISOUND_INVALID_PARA_ID = 24106, /* invalid parameter ID */
SPEECH_ERROR_AISOUND_INVALID_PARA_VALUE = 24107, /* invalid parameter value */
SPEECH_ERROR_AISOUND_RESOURCE = 24108, /* Resource is error */
SPEECH_ERROR_AISOUND_RESOURCE_READ = 24109, /* read resource error */
SPEECH_ERROR_AISOUND_LBENDIAN = 24110, /* the Endian of SDK is error */
SPEECH_ERROR_AISOUND_HEADFILE = 24111, /* the HeadFile is different of the SDK */
SPEECH_ERROR_AISOUND_BUFFER_OVERFLOW = 24112, /* get data size exceed the data buffer */
SPEECH_ERROR_AISOUND_INVALID_ISAMPA = 24113, /* !Invalid iSampa format or input iSampa text contain invalid alphabet*/
SPEECH_ERROR_AISOUND_INVALID_CSSML = 24114, /* !Invalid cssml format */
/*Error Code Of ivw*/
/*Error Code Of ivw Operation*/
SPEECH_ERROR_IVW_ENGINE_UNINI = 25000, /* 引擎未初始化 */
SPEECH_ERROR_IVW_RESVER_NOMATCH = 25001, /* 资源版本不匹配 */
SPEECH_ERROR_IVW_BUFFERED_AUDIOD_LITTLE = 25002, /* 唤醒加识别缓存音频过少 */
SPEECH_ERROR_IVW_INVALID_RESTYPE = 25003, /* 不合法的资源类型 */
SPEECH_ERROR_IVW_INVALID_RESHEADVER = 25004, /* 不合法的资源头部版本号 */
/*Error Code Of ivw Engine*/
SPEECH_ERROR_IVW_INVALID_CALL = 25101, // IvwErr_InvCal = 1
SPEECH_ERROR_IVW_INVALID_ARG = 25102, // IvwErr_InvArg = 2
SPEECH_ERROR_IVW_TELL_SIZE = 25103, // IvwErr_TellSize = 3
SPEECH_ERROR_IVW_OUT_OF_MEMORY = 25104, // IvwErr_OutOfMemory = 4
SPEECH_ERROR_IVW_OUT_BUFFER_FULL = 25105, // IvwErr_BufferFull = 5
SPEECH_ERROR_IVW_OUT_BUFFER_EMPTY = 25106, // IvwErr_BufferEmpty = 6
SPEECH_ERROR_IVW_INVALID_RESOURCE = 25107, // IvwErr_InvRes = 7
SPEECH_ERROR_IVW_REPETITIOPN_ENTER = 25108, // IvwErr_ReEnter = 8
SPEECH_ERROR_IVW_NOT_SUPPORT = 25109, // IvwErr_NotSupport = 9
SPEECH_ERROR_IVW_NOT_FOUND = 25110, // IvwErr_NotFound = 10
SPEECH_ERROR_IVW_INVALID_SN = 25111, // IvwErr_InvSN = 11
SPEECH_ERROR_IVW_LIMITTED = 25112, // IvwErr_Limitted = 12
SPEECH_ERROR_IVW_TIME_OUT = 25113, // IvwErr_TimeOut = 13
SPEECH_ERROR_IVW_ENROLL1_SUCESS = 25114, // IvwErr_Enroll1_Success = 14
SPEECH_ERROR_IVW_ENROLL1_FAILED = 25115, // IvwErr_Enroll1_Failed = 15
SPEECH_ERROR_IVW_ENROLL2_SUCESS = 25116, // IvwErr_Enroll2_Success = 16
SPEECH_ERROR_IVW_ENROLL2_FAILED = 25117, // IvwErr_Enroll2_Failed = 17
SPEECH_ERROR_IVW_ENROLL3_SUCESS = 25118, // IvwErr_Enroll3_Success = 18
SPEECH_ERROR_IVW_ENROLL3_FAILED = 25119, // IvwErr_Enroll3_Failed = 19
SPEECH_ERROR_IVW_SPEECH_TOO_SHORT = 25120, // IvwErr_SpeechTooShort = 20
SPEECH_ERROR_IVW_SPEECH_STOP = 25121, // IvwErr_SpeechStop = 21
/* 非实时转写错误码：26000~26999 */
SPEECH_ERROR_LFASR_BASE = 26000, /* 非实时转写错误码基码 */
}
/**
* MSPSampleStatus indicates how the sample buffer should be handled
* MSP_AUDIO_SAMPLE_FIRST - The sample buffer is the start of audio
* If recognizer was already recognizing, it will discard
* audio received to date and re-start the recognition
* MSP_AUDIO_SAMPLE_CONTINUE - The sample buffer is continuing audio
* MSP_AUDIO_SAMPLE_LAST - The sample buffer is the end of audio
* The recognizer will cease processing audio and
* return results
* Note that sample statii can be combined; for example, for file-based input
* the entire file can be written with SAMPLE_FIRST | SAMPLE_LAST as the
* status.
* Other flags may be added in future to indicate other special audio
* conditions such as the presence of AGC
*/
public enum AudioStatus
{
MSP_AUDIO_SAMPLE_INIT = 0x00,
MSP_AUDIO_SAMPLE_FIRST = 0x01,
MSP_AUDIO_SAMPLE_CONTINUE = 0x02,
MSP_AUDIO_SAMPLE_LAST = 0x04,
}
/*
* The enumeration MSPRecognizerStatus contains the recognition status
* MSP_REC_STATUS_SUCCESS - successful recognition with partial results
* MSP_REC_STATUS_NO_MATCH - recognition rejected
* MSP_REC_STATUS_INCOMPLETE - recognizer needs more time to compute results
* MSP_REC_STATUS_NON_SPEECH_DETECTED - discard status, no more in use
* MSP_REC_STATUS_SPEECH_DETECTED - recognizer has detected audio, this is delayed status
* MSP_REC_STATUS_COMPLETE - recognizer has return all result
* MSP_REC_STATUS_MAX_CPU_TIME - CPU time limit exceeded
* MSP_REC_STATUS_MAX_SPEECH - maximum speech length exceeded, partial results may be returned
* MSP_REC_STATUS_STOPPED - recognition was stopped
* MSP_REC_STATUS_REJECTED - recognizer rejected due to low confidence
* MSP_REC_STATUS_NO_SPEECH_FOUND - recognizer still found no audio, this is delayed status
*/
public enum RecogStatus
{
MSP_REC_STATUS_SUCCESS = 0,
MSP_REC_STATUS_NO_MATCH = 1,
MSP_REC_STATUS_INCOMPLETE = 2,
MSP_REC_STATUS_NON_SPEECH_DETECTED = 3,
MSP_REC_STATUS_SPEECH_DETECTED = 4,
MSP_REC_STATUS_COMPLETE = 5,
MSP_REC_STATUS_MAX_CPU_TIME = 6,
MSP_REC_STATUS_MAX_SPEECH = 7,
MSP_REC_STATUS_STOPPED = 8,
MSP_REC_STATUS_REJECTED = 9,
MSP_REC_STATUS_NO_SPEECH_FOUND = 10,
MSP_REC_STATUS_FAILURE = MSP_REC_STATUS_NO_MATCH,
};
/**
* The enumeration MSPepState contains the current endpointer state
* MSP_EP_LOOKING_FOR_SPEECH - Have not yet found the beginning of speech
* MSP_EP_IN_SPEECH - Have found the beginning, but not the end of speech
* MSP_EP_AFTER_SPEECH - Have found the beginning and end of speech
* MSP_EP_TIMEOUT - Have not found any audio till timeout
* MSP_EP_ERROR - The endpointer has encountered a serious error
* MSP_EP_MAX_SPEECH - Have arrive the max size of speech
*/
public enum EpStatus
{
MSP_EP_LOOKING_FOR_SPEECH = 0,
MSP_EP_IN_SPEECH = 1,
MSP_EP_AFTER_SPEECH = 3,
MSP_EP_TIMEOUT = 4,
MSP_EP_ERROR = 5,
MSP_EP_MAX_SPEECH = 6,
MSP_EP_IDLE = 7 // internal state after stop and before start
};
/* Synthesizing process flags */
public enum SynthesizingStatus
{
MSP_TTS_FLAG_STILL_HAVE_DATA = 1,
MSP_TTS_FLAG_DATA_END = 2,
MSP_TTS_FLAG_CMD_CANCELED = 4,
};
/* Handwriting process flags */
public enum HandwritingStatus
{
MSP_HCR_DATA_FIRST = 1,
MSP_HCR_DATA_CONTINUE = 2,
MSP_HCR_DATA_END = 4,
};
/*ivw message type */
public enum IvwStatus
{
MSP_IVW_MSG_WAKEUP = 1,
MSP_IVW_MSG_ERROR = 2,
MSP_IVW_MSG_ISR_RESULT = 3,
MSP_IVW_MSG_ISR_EPS = 4,
MSP_IVW_MSG_VOLUME = 5,
MSP_IVW_MSG_ENROLL = 6,
MSP_IVW_MSG_RESET = 7
};
/* Upload data process flags */
public enum UploadStatus
{
MSP_DATA_SAMPLE_INIT = 0x00,
MSP_DATA_SAMPLE_FIRST = 0x01,
MSP_DATA_SAMPLE_CONTINUE = 0x02,
MSP_DATA_SAMPLE_LAST = 0x04,
};
public enum SynthStatus
{
MSP_TTS_FLAG_STILL_HAVE_DATA = 1,
MSP_TTS_FLAG_DATA_END = 2,
MSP_TTS_FLAG_CMD_CANCELED = 0
}
}
CommonHelper.cs 需要用到的接口部分
using msc;
using System;
using UnityEngine;
public class CommonHelper : MonoBehaviour
{
/// <summary>
/// 登录
/// </summary>
public bool MSPLogin(string usr, string pwd, string parameters)
{
int message = MSCDLL.MSPLogin(usr, pwd, parameters);
if (message != (int)Errors.MSP_SUCCESS)
{
Debug.LogError("登录失败！错误信息：" + message);
return false;
}
Debug.Log("登录成功");
return true;
}
/// <summary>
/// 注销
/// </summary>
/// <returns></returns>
public void MSPLoginOut()
{
int message = MSCDLL.MSPLogout();
if (message != (int)Errors.MSP_SUCCESS)
{
Debug.LogError("注销失败！错误信息: " + message);
return;
}
Debug.Log("注销成功");
}
/// <summary>
/// 语音合成开始
/// </summary>
/// <param name="sessionID">会话ID</param>
/// <param name="_params">设置识别的参数：语言、领域、语言区域。。。。</param>
/// <param name="errorCode">错误代码</param>
public void QTTSSessionBegin(ref IntPtr sessionID, string _params, ref int errorCode)
{
sessionID = MSCDLL.QTTSSessionBegin(_params, ref errorCode);
if (errorCode != (int)Errors.MSP_SUCCESS)
{
Debug.LogError("初始化语音合成失败，错误信息：" + errorCode);
return;
}
}
/// <summary>
/// 语音合成文本参数
/// </summary>
/// <param name="sessionID">会话ID</param>
/// <param name="speekText">合成语音的文本</param>
/// <param name="textLen">文本长度</param>
/// <param name="_params">参数</param>
public void QTTSTextPut(IntPtr sessionID, string speekText, uint textLen, string _params)
{
int message = MSCDLL.QTTSTextPut(sessionID, speekText, textLen, _params);
if (message != (int)Errors.MSP_SUCCESS)
{
Debug.LogError("向服务器发送数据失败，错误信息：" + message);
return;
}
}
/// <summary>
/// 语音合成结束
/// </summary>
/// <param name="sessionID"></param>
/// <param name="hints"></param>
public void QTTSSessionEnd(IntPtr sessionID, string hints)
{
int message = MSCDLL.QTTSSessionEnd(sessionID, hints);
if (message != (int)Errors.MSP_SUCCESS)
{
Debug.LogError("会话结束失败！错误信息: " + message);
return;
}
Debug.Log("合成结束成功");
}
}
Main.cs 实现部分
using msc;
using System;
using System.IO;
using System.Runtime.InteropServices;
using System.Text;
using System.Threading;
using UnityEngine;
public class Main : CommonHelper
{
private IntPtr session_id;
private int err_code;
private string voice_name = "xiaoyan";
private string text_encoding = "utf8";
private int sample_rate = 16000;
private int speed = 50;
private int volume = 50;
private int pitch = 50;
private int rdn = 0;
private const string user = "";//账号
private const string pwd = "";//密码
private const string app_id = "appid=换成自己的id,word_dir= . ";//appid和msc.dll要配套
private string qtts_session_begin_params;//语音合成部分的参数配置
private void Awake()
{
Screen.SetResolution(300, 180, false);
}
private void Start()
{
if (!File.Exists(Application.streamingAssetsPath + "/configuration.json"))
{
Debug.LogError("配置文件丢失！");
return;
}
StreamReader sr = new StreamReader(Application.streamingAssetsPath + "/configuration.json");
string json = sr.ReadToEnd();
JsonToString.Main value = JsonUtility.FromJson<JsonToString.Main>(json);
MSPLogin(user, pwd, app_id);
voice_name = value.voice_name;
text_encoding = value.text_encoding;
sample_rate = value.sample_rate;
speed = value.speed;
volume = value.volume;
pitch = value.pitch;
rdn = value.rdn;
qtts_session_begin_params = "voice_name = " + voice_name + ", text_encoding = " + text_encoding + ", sample_rate = " + sample_rate + ", speed = " + speed + ", volume = " + volume + ", pitch = " + pitch + ", rdn = " + rdn;
for (int i = 0; i < value.document.Length; i++)
{
if (value.document[i].file_name != "" && value.document[i].voice_text != "" && value.document[i].file_name != null && value.document[i].voice_text != null)
CreateAudio(value.document[i].file_name, value.document[i].voice_text, qtts_session_begin_params);
}
}
private void OnGUI()
{
Application.Quit();
}
#region 语音合成部分
private byte[] bytes;
/// <summary>
/// 语音合成
/// </summary>
/// <param name="speekText">文本</param>
/// <param name="szParams">参数</param>
private void CreateAudio(string name, string speekText, string szParams)
{
QTTSSessionBegin(ref session_id, szParams, ref err_code);
QTTSTextPut(session_id, speekText, (uint)Encoding.Default.GetByteCount(speekText), string.Empty);
uint audio_len = 0;
SynthStatus synth_status = SynthStatus.MSP_TTS_FLAG_STILL_HAVE_DATA;
MemoryStream memoryStream = new MemoryStream();
memoryStream.Write(new byte[44], 0, 44);
while (true)
{
IntPtr source = MSCDLL.QTTSAudioGet(session_id, ref audio_len, ref synth_status, ref err_code);
byte[] array = new byte[audio_len];
if (audio_len > 0)
{
Marshal.Copy(source, array, 0, (int)audio_len);
}
memoryStream.Write(array, 0, array.Length);
Thread.Sleep(150);
if (synth_status == SynthStatus.MSP_TTS_FLAG_DATA_END || err_code != (int)Errors.MSP_SUCCESS)
break;
}
QTTSSessionEnd(session_id, "");
WAVE_Header header = getWave_Header((int)memoryStream.Length - 44);//创建wav文件头
byte[] headerByte = StructToBytes(header);//把文件头结构转化为字节数组
memoryStream.Position = 0;//定位到文件头
memoryStream.Write(headerByte, 0, headerByte.Length);//写入文件头
bytes = memoryStream.ToArray();
memoryStream.Close();
if (Application.streamingAssetsPath + "/" + name + ".wav" != null)
{
if (File.Exists(Application.streamingAssetsPath + "/" + name + ".wav"))
File.Delete(Application.streamingAssetsPath + "/" + name + ".wav");
File.WriteAllBytes(Application.streamingAssetsPath + "/" + name + ".wav", bytes);
}
}
/// <summary>
/// 结构体转字符串
/// </summary>
/// <param name="structure"></param>
/// <returns></returns>
private byte[] StructToBytes(object structure)
{
int num = Marshal.SizeOf(structure);
IntPtr intPtr = Marshal.AllocHGlobal(num);
byte[] result;
try
{
Marshal.StructureToPtr(structure, intPtr, false);
byte[] array = new byte[num];
Marshal.Copy(intPtr, array, 0, num);
result = array;
}
finally
{
Marshal.FreeHGlobal(intPtr);
}
return result;
}
/// <summary>
/// 结构体初始化赋值
/// </summary>
/// <param name="data_len"></param>
/// <returns></returns>
private WAVE_Header getWave_Header(int data_len)
{
return new WAVE_Header
{
RIFF_ID = 1179011410,
File_Size = data_len + 36,
RIFF_Type = 1163280727,
FMT_ID = 544501094,
FMT_Size = 16,
FMT_Tag = 1,
FMT_Channel = 1,
FMT_SamplesPerSec = 16000,
AvgBytesPerSec = 32000,
BlockAlign = 2,
BitsPerSample = 16,
DATA_ID = 1635017060,
DATA_Size = data_len
};
}
/// <summary>
/// 语音音频头
/// </summary>
private struct WAVE_Header
{
public int RIFF_ID;
public int File_Size;
public int RIFF_Type;
public int FMT_ID;
public int FMT_Size;
public short FMT_Tag;
public ushort FMT_Channel;
public int FMT_SamplesPerSec;
public int AvgBytesPerSec;
public ushort BlockAlign;
public ushort BitsPerSample;
public int DATA_ID;
public int DATA_Size;
}
#endregion
private void OnDestroy()
{
MSPLoginOut();
}
}
JsonToString.cs 解析json部分
using System;
public class JsonToString
{
[Serializable]
public struct Main
{
public string voice_name;//配音人
public string text_encoding;//文本格式
public int sample_rate;//采样率
public int speed;//速度
public int volume;//音量
public int pitch;
public int rdn;
public Document[] document;
}
[Serializable]
public struct Document
{
public string file_name;//生成的音频文件名
public string voice_text;//生成的话
}
}
configuration.json 配置文件部分
{
"voice_name":"x_chongchong",
"text_encoding":"utf8",
"sample_rate":16000,
"speed":50,
"volume":100,
"pitch":50,
"rdn":0,
"document": [
{
"file_name": "测试",
"voice_text": "这是一段测试音频。"
}
]
}
这样我们的批量配音制作工具就完成啦
然后只需要换成自己的SDK和appid。编辑好配置文件，运行就可以生成我们所配置的音频文件了。
自己动手丰衣足食。
最后再发个打包出来的工具吧。