MsEdgeTTS

msedgetts

一個簡單的Azure語音服務模塊，該模塊使用Microsoft Edge讀取API。

SSML的全部支持僅支持speak ， voice和prosody元素類型。以下是默認的SSML對象：

< speak version = " 1.0 " xmlns = " http://www.w3.org/2001/10/synthesis " xmlns : mstts = " https://www.w3.org/2001/mstts "
       xml : lang = " ${this._voiceLang} " >
    < voice name = " ${voiceName} " >
        < prosody rate = " ${rate} " pitch = " ${pitch} " volume = " ${volume} " >
            ${input}
        </ prosody >
    </ voice >
</ speak >

有關SSML格式的文檔可以在此處找到。所有支持的音頻格式都可以在此處找到。

示例用法

確保逃脫/消毒用戶的輸入！使用XML-Escape之類的庫。

寫入流

 import { MsEdgeTTS , OUTPUT_FORMAT } from "msedge-tts" ;

const tts = new MsEdgeTTS ( ) ;
await tts . setMetadata ( "en-IE-ConnorNeural" , OUTPUT_FORMAT . WEBM_24KHZ_16BIT_MONO_OPUS ) ;
const readable = tts . toStream ( "Hi, how are you?" ) ;

readable . on ( "data" , ( data ) => {
    console . log ( "DATA RECEIVED" , data ) ;
    // raw audio file data
} ) ;

readable . on ( "close" , ( ) => {
    console . log ( "STREAM CLOSED" ) ;
} ) ;

寫入文件

 import { MsEdgeTTS , OUTPUT_FORMAT } from "msedge-tts" ;

( async ( ) => {
    const tts = new MsEdgeTTS ( ) ;
    await tts . setMetadata ( "en-US-AriaNeural" , OUTPUT_FORMAT . WEBM_24KHZ_16BIT_MONO_OPUS ) ;
    const filePath = await tts . toFile ( "./example_audio.webm" , "Hi, how are you?" ) ;  
} ) ( ) ;

改變語音速率，音高和音量

 import { MsEdgeTTS , OUTPUT_FORMAT } from "msedge-tts" ;

( async ( ) => {
    const tts = new MsEdgeTTS ( ) ;
    await tts . setMetadata ( "en-US-AriaNeural" , OUTPUT_FORMAT . WEBM_24KHZ_16BIT_MONO_OPUS ) ;
    const filePath = await tts . toFile ( "./example_audio.webm" , "Hi, how are you?" , { rate : 0.5 , pitch : "+200Hz" } ) ;
} ) ( ) ;

使用替代的HTTP代理

使用自定義的http.agent實現，例如https-proxy-agent或socks-proxy-agent。

 import { SocksProxyAgent } from 'socks-proxy-agent' ;

( async ( ) => {
    const agent = new SocksProxyAgent ( "socks://your-name%40gmail.com:[email protected]" )
    const tts = new MsEdgeTTS ( agent ) ;
    await tts . setMetadata ( "en-US-AriaNeural" , OUTPUT_FORMAT . WEBM_24KHZ_16BIT_MONO_OPUS ) ;
    const filePath = await tts . toFile ( "./example_audio.webm" , "Hi, how are you?" ) ;
} ) ( ) ; 

API

有關完整文檔，請查看API文檔。

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