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voice-biometrics

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Swift library for Speaker Embedding extraction and verification using NVIDIA NeMo TitaNet model converted to CoreML. Extract 192-dim speaker embeddings, verify speakers, and perform real-time speaker diarization on iOS/macOS.

  • Updated Feb 9, 2026
  • Swift

Speaker recognition using Gaussian Mixture Models (GMM) involves identifying speakers by modeling their voice features with statistical distributions. GMMs are trained on speech data to distinguish between different speakers based on their unique vocal characteristics. This technique is commonly used in voice biometrics and authentication systems.

  • Updated Feb 17, 2025
  • Python

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