This is a Speaker Recognition system with GUI, served as an SRT project for the course Signal Processing (2013Fall) in Tsinghua University.

For more details of this project, please see:

• Our presentation slides
• Our complete report

• SciPy
• scikit-learn
• scikits.talkbox
• bob
• pyssp
• PyQt
• PyAudio
• gcc >= 4.7

Voice Activity Detection(VAD):

• Long-Term Spectral Divergence (LTSD)

Feature:

• Mel-Frequency Cepstral Coefficient (MFCC)
• Linear Predictive Coding (LPC)

Model:

• Gaussian Mixture Model (GMM)
• Universal Background Model (UBM)
• Continuous Restricted Boltzman Machine (CRBM)
• Joint Factor Analysis (JFA)

Our GUI not only has basic functionality for recording, enrollment, training and testing, but also has a visualization of real-time speaker recognition:

See our demo video (in Chinese) for more details.