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Trillsson3 Ft Keyword Spotting 15
A speech keyword detection model based on the TRillsson3 architecture, fine-tuned on the superb dataset with an accuracy of 90.41%
Downloads 44
Release Time : 11/28/2022
Model Overview
This model is a fine-tuned version of the TRillsson3 architecture, specifically designed for speech keyword detection tasks. Trained on the superb dataset, it demonstrates high accuracy.
Model Features
High Accuracy
Achieves 90.41% accuracy on the evaluation set
Based on TRillsson3 Architecture
Utilizes an advanced non-semantic speech representation architecture
Fine-tuned on superb Dataset
Optimized on a standard speech benchmark dataset
Model Capabilities
Speech Keyword Detection
Audio Classification
Use Cases
Voice Interaction
Voice Assistant Wake Word Detection
Detects device wake words such as 'Hey Siri' or 'OK Google'
90.41% accuracy
Voice Command Recognition
Recognizes simple voice commands
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