huckiyang/Voice2Series-Reprogramming
ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification
This project helps domain experts classify various types of time series data by leveraging models originally trained for speech recognition. You provide raw time series data, and the system outputs classifications (e.g., identifying different types of heartbeats from an ECG or machinery sounds from vibration data). It's designed for data scientists or researchers who work with sequential data in fields like healthcare, industrial monitoring, or environmental sensing.
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Use this if you need to classify complex time series data and want to achieve high accuracy without training a new model from scratch, especially if you have limited labeled data for your specific task.
Not ideal if your data is not sequential or if you need to understand the underlying physical processes rather than just classifying patterns.
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73
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12
Language
TypeScript
License
Apache-2.0
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Last pushed
Jun 12, 2024
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