audioku/cross-accent-maml-asr
Meta-learning model agnostic (MAML) implementation for cross-accented ASR
This project helps speech technology researchers and developers quickly adapt automatic speech recognition (ASR) systems to understand new or less common accents. By inputting speech data from various English accents, it produces an ASR model that can learn to recognize previously unheard accents much faster and more accurately than traditional methods. This is ideal for those building robust, accent-agnostic speech recognition systems.
No commits in the last 6 months.
Use this if you need to build or improve an automatic speech recognition system that performs well across a wide range of English accents, especially those with limited training data.
Not ideal if your focus is on a single, well-represented accent or if you require ASR for languages other than English.
Stars
45
Forks
6
Language
Python
License
MIT
Category
Last pushed
Feb 09, 2024
Commits (30d)
0
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