C#使用whisper.net实现语音识别(语音转文本)

目录

介绍

效果

输出信息

项目

代码

下载


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;

}

}

}

复制代码
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;
        }
    }
}

下载

源码下载

相关推荐
黑心萝卜三条杠6 分钟前
一文解决Jetson Orin Nano在不连接显示器的前提下VNC无法显示桌面
人工智能
远洋录6 分钟前
Ethan独立开发产品日报 | 2025-04-20
人工智能·程序员·独立开发
@蓝莓果粒茶10 分钟前
LeetCode第158题_用Read4读取N个字符 II
前端·c++·python·算法·leetcode·职场和发展·c#
陈佬昔没带相机14 分钟前
[译]AI 是资深开发者的黄金时代
人工智能·程序员
Lilith的AI学习日记25 分钟前
n8n 中文系列教程_04.半开放节点深度解析:Code与HTTP Request高阶用法指南
大数据·人工智能·aigc·n8n
带娃的IT创业者35 分钟前
《AI大模型应知应会100篇》第22篇:系统提示词(System Prompt)设计与优化
人工智能·prompt
绝顶大聪明39 分钟前
【图像轮廓特征查找】图像处理(OpenCV) -part8
图像处理·人工智能·opencv
liruiqiang0540 分钟前
神经网络优化 - 小批量梯度下降之批量大小的选择
人工智能·深度学习·神经网络·机器学习·梯度下降
AI大模型顾潇40 分钟前
[特殊字符] Prompt如何驱动大模型对本地文件实现自主变更:Cline技术深度解析
前端·人工智能·llm·微调·prompt·编程·ai大模型
Blossom.1181 小时前
量子计算与经典计算融合:开启计算新时代
人工智能·深度学习·opencv·物联网·生活·边缘计算·量子计算