AIbase
EN
Home
Whisper Small Keyword Spotting
W

Whisper Small Keyword Spotting

Developed by FlandersMakeAGV
An audio keyword recognition model fine-tuned based on openai/whisper-small, trained on the kw-spotting-fsc-sl-agv dataset with an evaluation accuracy of 99.98%
Audio Classification
Transformers
Open Source License:Apache-2.0#Audio Keyword Recognition#High Accuracy#Whisper Fine-tuning
Downloads 24
Release Time : 7/12/2023

Model Overview

This model specializes in audio keyword recognition tasks, capable of efficiently and accurately identifying specific keywords. Fine-tuned based on the Whisper-small architecture, it is suitable for scenarios such as voice command recognition.

Model Features

High Accuracy
Achieves 99.98% accuracy on the evaluation set, demonstrating excellent performance
Based on Whisper Architecture
Utilizes the mature Whisper-small architecture for fine-tuning, inheriting its excellent audio processing capabilities
Efficient Training
Employs techniques such as gradient accumulation to achieve high performance with relatively few training epochs

Model Capabilities

Audio Classification
Keyword Spotting
Voice Command Detection

Use Cases

Smart Home
Voice Command Recognition
Recognizes specific voice commands to trigger smart home device operations
High accuracy recognition reduces false triggers
Industrial Automation
Industrial Equipment Voice Control
Recognizes specific control commands in noisy environments
The model performs excellently on specific datasets
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase