C#使用whisper.net实现语音识别功能
作者:天天代码码天天
介绍
github地址:https://github.com/sandrohanea/whisper.net
Whisper.net. Speech to text made simple using Whisper Models
模型下载地址:https://huggingface.co/sandrohanea/whisper.net/tree/main/classic
效果
输出信息
whisper_init_from_file_no_state: loading model from 'ggml-small.bin'
whisper_model_load: loading model
whisper_model_load: n_vocab = 51865
whisper_model_load: n_audio_ctx = 1500
whisper_model_load: n_audio_state = 768
whisper_model_load: n_audio_head = 12
whisper_model_load: n_audio_layer = 12
whisper_model_load: n_text_ctx = 448
whisper_model_load: n_text_state = 768
whisper_model_load: n_text_head = 12
whisper_model_load: n_text_layer = 12
whisper_model_load: n_mels = 80
whisper_model_load: ftype = 1
whisper_model_load: qntvr = 0
whisper_model_load: type = 3
whisper_model_load: mem required = 743.00 MB (+ 16.00 MB per decoder)
whisper_model_load: adding 1608 extra tokens
whisper_model_load: model ctx = 464.68 MB
whisper_model_load: model size = 464.44 MB
whisper_init_state: kv self size = 15.75 MB
whisper_init_state: kv cross size = 52.73 MB
00:00:00->00:00:20: 皇鶴楼,崔昊,西人已成皇鶴去,此地空于皇鶴楼,皇鶴一去不复返,白云千载空悠悠。
00:00:20->00:00:39: 青川莉莉汉阳树,方草七七英五周,日暮相关何处事,燕泊江上世人愁。
项目
代码
using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.IO; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Windows.Forms; using Whisper.net; using static System.Net.Mime.MediaTypeNames; namespace C_使用whisper.net实现语音转文本 { public partial class Form1 : Form { public Form1() { InitializeComponent(); } string fileFilter = "*.wav|*.wav"; string wavFileName = ""; WhisperFactory whisperFactory; WhisperProcessor processor; private async void button2_Click(object sender, EventArgs e) { if (wavFileName == "") { return; } try { button2.Enabled = false; using var fileStream = File.OpenRead(wavFileName); await foreach (var result in processor.ProcessAsync(fileStream)) { Console.WriteLine($"{result.Start}->{result.End}: {result.Text}\r\n"); txtResult.Text += $"{result.Start}->{result.End}: {result.Text}\r\n"; } } catch (Exception ex) { MessageBox.Show(ex.Message); } finally { button2.Enabled = true; } } private void Form1_Load(object sender, EventArgs e) { whisperFactory = WhisperFactory.FromPath("ggml-small.bin"); processor = whisperFactory.CreateBuilder() .WithLanguage("zh")//.WithLanguage("auto") .Build(); wavFileName = "085黄鹤楼.wav"; txtFileName.Text = wavFileName; } private void button1_Click(object sender, EventArgs e) { OpenFileDialog ofd = new OpenFileDialog(); ofd.Filter = fileFilter; if (ofd.ShowDialog() != DialogResult.OK) return; txtResult.Text = ""; wavFileName = ofd.FileName; txtFileName.Text = wavFileName; } } }
到此这篇关于C#使用whisper.net实现语音识别功能的文章就介绍到这了,更多相关C#语音识别内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!