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How Far Can the Gemma 4 Speech Encoder Go Without Changing Its Weights? Saudi and Gulf Arabic Speech Recognition with a Frozen and an Adapter-Augmented Encoder
Not provided in the abstract
speech recognitionfrozen modelsadapter augmentationArabic language processing
2610.28673
Builder Relevance
2h ago70%
Abstract
The study investigates the performance of the Gemma 4 audio encoder for Arabic speech recognition without altering its weights.
Reality Card
Core Claim
The adapted system achieves statistically indistinguishable word error rates compared to a larger model while outperforming it in character error rates across various conditions.
Method / Result
The optimised joint decoder runs the system at 139 times real time on one GPU.
Limitations
The frozen system trails in word error rate compared to larger models, which may limit its applicability in certain contexts.
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