.NET 语音转文字 文字转语音

文字转语音

这个比较简单只要引用COM中的 Microsoft Speech objcet Library

using SpeechLib;
　　　　　public ActionResult speak(string speechSounds)
        {
            SpeechVoiceSpeakFlags SpFlags = SpeechVoiceSpeakFlags.SVSFlagsAsync;
            SpVoice spVoice = new SpVoice();
            spVoice.Rate = spVoice.Rate - 5;
            if (spVoice.Volume < 100)
            {
                spVoice.Volume = spVoice.Volume + 10;
            }

            if (spVoice.Volume > 9)
            {
                spVoice.Volume = spVoice.Volume - 10;
            }
            spVoice.Speak(speechSounds, SpFlags);
            return Content("成功");
        }

文字生成语音文件

引用程序集中的 System.Speech

using System.Speech.Synthesis;
private SpeechSynthesizer synth = null;
        /// <summary>
        /// 返回一个SpeechSynthesizer对象
        /// </summary>
        /// <returns></returns>
        private SpeechSynthesizer GetSpeechSynthesizerInstance()
        {
            if (synth == null)
            {
                synth = new SpeechSynthesizer();
            }
            return synth;
        }
        /// <summary>
        ///  播放
        /// </summary>
        public void Play(string text)
        {
            Thread thread = new Thread(new ParameterizedThreadStart(SaveMp3));
            thread.Start(text);
        }
        /// <summary>
        /// 保存语音文件
        /// </summary>
        /// <param name="text"></param>
        public void SaveMp3(object text)
        {
                synth = GetSpeechSynthesizerInstance();
                string spText = text.ToString();
                synth.Rate = 1;
                synth.Volume = 100;
                string filename = DateTime.Now.ToString("yyyyMMddHHmmss");
                string str = "C:\\Users\\admin1\\Desktop\\新建文件夹\\" + filename + ".wav";
                synth.SetOutputToWaveFile(str);
                synth.Speak(spText);
                synth.SetOutputToNull();
                //调用语音转文字
                //Thread threadVoice = new Thread(VoiceToText);
                //threadVoice.Start(str);
        }

语音转文本

using System.Speech.Recognition;
        private SpeechRecognitionEngine SRE = new SpeechRecognitionEngine();
        /// <summary>
        //  语音转文本
        /// </summary>
        /// <param name="str"></param>
        private void VoiceToText(object str)
        {
            try
            {
                string filepath = str.ToString(); ;
                SRE.SetInputToWaveFile(filepath);         //<=======默认的语音输入设备，你可以设定为去识别一个WAV文件。
                GrammarBuilder GB = new GrammarBuilder();
                //需要判断的文本（相当于语音库）
                GB.Append(new Choices(new string[] { "时间", "电话", "短信", "定位", "天气", "帮助" }));
                Grammar G = new Grammar(GB);
                G.SpeechRecognized += new EventHandler<SpeechRecognizedEventArgs>(G_SpeechRecognized);
                SRE.LoadGrammar(G);
                SRE.RecognizeAsync(RecognizeMode.Multiple); //<=======异步调用识别引擎，允许多次识别（否则程序只响应你的一句话）
            }
            catch (Exception ex)
            {
                string s = ex.ToString();
            }
        }


        /// <summary>
        /// 判断语音并转化为需要输出的文本
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void G_SpeechRecognized(object sender, SpeechRecognizedEventArgs e)
        {
            string result = e.Result.Text;
            string RetSpeck = string.Empty;
            switch (result)
            {
                case "时间":
                    RetSpeck = "你输入了时间";
                    break;
                case "电话":
                    RetSpeck = "你输入了电话";
                    break;
                case "短信":
                    RetSpeck = "你输入了短信";
                    break;
                case "定位":
                    RetSpeck = "你输入了定位";
                    break;
                case "天气":
                    RetSpeck = "你输入了天气";
                    break;
                case "帮助":
                    RetSpeck = "你输入了帮助";
                    break;
            }
            speak(RetSpeck);
        }

转载于:https://www.cnblogs.com/-maomao/p/6861447.html