Speaker Identification System

A desktop application built with C# and .NET Framework 4.0 that identifies speakers using audio recordings. It applies MFCC feature extraction, Dynamic Time Warping (DTW) with and without pruning, and parallel processing to match test voices to a database of enrolled speakers.

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📸 Screenshot

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🎯 Features

• 🎙️ Record or upload audio samples
• 🎧 Extract MFCC features and remove silence
• 🔁 Match using DTW or DTW with pruning (Sakoe-Chiba band)
• 📦 Save and load audio datasets as JSON
• 📊 Display match distance, processing time, and accuracy
• ⚡ Fast matching using parallel processing

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🧠 How It Works

🔍 MFCC Feature Extraction

We use Mel-Frequency Cepstral Coefficients (MFCC) to extract speaker-specific features from audio signals. Silence removal is applied before extraction to improve accuracy.

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📐 Dynamic Time Warping (DTW)

DTW compares two sequences by computing an optimal alignment path between them.

➤ DTW Without Pruning (Standard)

• Builds a full N x M cost matrix for two sequences.
• Calculates minimum-cost path from top-left to bottom-right.
• Time complexity: O(N × M).

➤ DTW With Pruning (Sakoe-Chiba Band)

• Restricts alignment to a diagonal band of width w around the main diagonal.
• Reduces number of computations and improves performance.
• Time complexity: O(N × W).
• Example logic:

  int l = Math.Max(1, i - (w / 2));
  int r = Math.Min(m, i + (w / 2));

⚙️ Parallel Processing

Matching the test voice against multiple enrolled users can be slow for large datasets. To speed this up, the application uses:

• Parallel.ForEach in C# to distribute DTW comparisons across CPU cores.

• Reduces processing time drastically in multi-speaker scenarios.

Installation

1. Clone this repo
2. Open the solution in Visual Studio
3. Make sure .NET Framework 4.0 is installed
4. Build and run the project

Folder Structure

MainFunctions/
├── AudioOperations.cs        // Extract features, remove silence
├── DataOperations.cs         // Load/save training/testing data
├── SequenceMatching.cs       // DTW logic
MFCC/                         // Feature extraction logic
Recorder/                     // Recording functions
GUI/                          // WinForms UI

Documentation

Documentation