using Microsoft.Extensions.Options; using SherpaOnnx; using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using VideoAnalysisCore.Common; namespace VideoAnalysisCore.AICore.SherpaOnnx { public class SenseVoice { static OfflineRecognizer OR =default!; /// /// 初始化 SenseVoice /// /// /// public static void Init(int speakerNumber = 0, double threshold = 0.6) { OfflineRecognizerConfig config = new OfflineRecognizerConfig(); //采样率 config.FeatConfig.SampleRate = 16000; //用于训练模型的特征维度 config.FeatConfig.FeatureDim = 80; //Path to tokens.txt config.ModelConfig.Tokens = Path.Combine(AppCommon.AIModelFile, "sherpa-onnx-sense-voice-24-07-17", "tokens.txt"); //SenseVoice 模型 config.ModelConfig.SenseVoice.Model = Path.Combine(AppCommon.AIModelFile, "sherpa-onnx-sense-voice-24-07-17", "model.onnx"); //1 使用逆文本规范化处理感官语音。 config.ModelConfig.SenseVoice.UseInverseTextNormalization =1; //模型类型 config.ModelConfig.ModelType = string.Empty; #region 有效的解码方法 //贪婪搜索[greedy_search] 改进的波束搜索 [modified_beam_search] //贪婪搜索 config.DecodingMethod = "greedy_search"; ////改进的波束搜索 //config.DecodingMethod = "modified_beam_search"; ////仅在 --decoding--method 为 [波束搜索]modified_beam_search 时使用。 ////它指定搜索过程中要保留的活动路径数 //config.MaxActivePaths =4; #endregion //热词目录 config.HotwordsFile = string.Empty; //热词得分 config.HotwordsScore =1.5f ; //反转文本规范化规则 fst 的路径 config.RuleFsts = string.Empty; config.ModelConfig.Debug = 0; OR = new OfflineRecognizer(config); } /// /// 获取语音字幕 /// /// /// public static async Task RunTask(string task) { var filePath = Path.Combine(task.LocalPath(), task + ".wav"); if (string.IsNullOrEmpty(filePath) || !File.Exists(filePath)) throw new Exception("task 音频路径未找到"); OfflineStream stream = OR.CreateStream(); WaveReader waveReader = new WaveReader(filePath); stream.AcceptWaveform(waveReader.SampleRate, waveReader.Samples); OR.Decode(stream); var r = stream.Result; Console.WriteLine("--------------------"); Console.WriteLine("Text: {0}", r.Text); Console.WriteLine("Tokens: [{0}]", string.Join(", ", r.Tokens)); if (r.Timestamps != null && r.Timestamps.Length > 0) { Console.Write("Timestamps: ["); var sep = ""; for (int k = 0; k != r.Timestamps.Length; ++k) { Console.Write("{0}{1}", sep, r.Timestamps[k].ToString("0.00")); sep = ", "; } Console.WriteLine("]"); } await Task.CompletedTask; } } }