Otosaku/NeMoSpeaker-iOS

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.

13
/ 100
Experimental
No License No Package No Dependents
Maintenance 10 / 25
Adoption 2 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

—

Language

Swift

License

—

Category

wake-word-detection

Last pushed

Feb 09, 2026

Commits (30d)

0

GitHub
Wake Word Detection · 30 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Otosaku/NeMoSpeaker-iOS"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

Ant-Brain/EfficientWord-Net

OneShot Learning-based hotword detection.

56

ARM-software/ML-KWS-for-MCU

Keyword spotting on Arm Cortex-M Microcontrollers

51

Tony607/Keras-Trigger-Word

How to do Real Time Trigger Word Detection with Keras | DLology

48

ardamavi/Vocalization-Sign-Language-iOS

Vocalization sign language iOS App with deep learning using CoreML.

40

roman-vygon/triplet_loss_kws

Learning Efficient Representations for Keyword Spotting with Triplet Loss

40

Explore ML Frameworks

All categories Trending ML Framework directory Insights