public static void ConvertMP3sToSpectrogram(
string dataDir = @"D:\ML\Speech recognition\NLP_diploma\uk",
string clipsDir = "clips",
string spectroDir = "test_spectrograms",
string dataSourceFilePath = "test.tsv")
{
string path = dataDir;
DataPreparation.clipsPath = Path.Combine(path, clipsDir);
DataPreparation.spectrogramsPath = Path.Combine(path, spectroDir);
path = Path.Combine(path, dataSourceFilePath);
Console.OutputEncoding = System.Text.Encoding.UTF8;
List <SpeechData> trainData = new List <SpeechData>();
var preparator = new DataPreparation();
// Get data from .tsv file
Console.WriteLine($"Loading data from: {path}");
using (var _reader = new StreamReader(path))
{
CsvConfiguration myConfig = new CsvConfiguration(CultureInfo.InvariantCulture);
myConfig.Delimiter = "\t";
myConfig.Encoding = System.Text.Encoding.UTF8;
using (var csvReader = new CsvReader(_reader, myConfig))
{
while (csvReader.Read())
{
var data = csvReader.GetRecord <SpeechData>();
preparator.Prepare(ref data);
trainData.Add(data);
//break;
}
}
}
Console.WriteLine("Train data was loaded!");
Console.WriteLine(trainData.Count);
bool isFormedSpectrograms = false;
if (!isFormedSpectrograms)
{
int counter = 0;
foreach (var sample in trainData)
{
preparator.GenerateSpectrogram(sample);
counter++;
if (counter % 400 == 0)
{
Console.WriteLine($"{counter} audio files processed");
}
}
Console.WriteLine("Spectrograms data was created!");
}
}
/*
* TODO: Run virtual env from C#
* Process process = new Process();
* process.StartInfo.FileName = "cmd.exe";
* process.StartInfo.CreateNoWindow = true;
* process.StartInfo.RedirectStandardInput = true;
* process.StartInfo.RedirectStandardOutput = true;
* process.StartInfo.UseShellExecute = false;
* process.Start();
* process.StandardInput.WriteLine("activate virtualenvName");
* process.StandardInput.WriteLine("cd C:\\PathWhereYourPythonIsLocated");
* process.StandardInput.WriteLine("python hello.py");
* process.StandardInput.Flush();
* process.StandardInput.Close();
* Console.WriteLine(process.StandardOutput.ReadToEnd());
* Console.ReadKey();
*
*/
static void Main(string[] args)
{
try
{
/*
* 0. None
* 1. "Запустити відео обтікання будинків"
* 2. "запустити відео демонстрації вихорів"
* 3. "запустити відео обтікання крила"
* 4. "закрити відео
*/
const string DATA_DIR = @"D:\ML\Speech recognition\NLP_diploma\uk";
const string CLIPS_DIR = @"D:\ML\Speech recognition\NLP_diploma\uk\clips_classifire\aug+orig"; //@"D:\ML\Speech recognition\NLP_diploma\uk\clips";
const string SPECTRO_DIR = @"D:\ML\Speech recognition\NLP_diploma\uk\mel_spectrograms_classifire"; //@"D:\ML\Speech recognition\NLP_diploma\uk\train_spectrograms";//
DataPreparation.clipsPath = CLIPS_DIR;
DataPreparation.spectrogramsPath = SPECTRO_DIR;
string[] audios = Directory.GetFiles(CLIPS_DIR, "*.wav");
foreach (string path in audios)
{
DataPreparation.GenerateSpectrogram(path);
Console.WriteLine(path);
}
/*
* string fileName = $"4_{GetRandomString(12)}";
*
* RecordAudioFromMicro(
* audioFileName: Path.Combine(DATA_DIR, $"clips_classifire\\{fileName}.wav"),
* imageFilePath: Path.Combine(DATA_DIR, $"spectrograms_classifire\\{fileName}.jpg")
* ) ;
*/
//ConvertMP3sToSpectrogram();
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
}
}
