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CircuitTree: Composing Circuits into A Syllable Transcriber
Not provided in the abstract
circuit compositionneural networksphoneme classificationsyllable transcription
2610.12520
Builder Relevance
8h ago70%
Abstract
The paper presents a method for composing modular subnetworks into a single model for syllable transcription.
Reality Card
Core Claim
The proposed CircuitTree method enables the composition of multiple circuits into a single model that can classify syllables with 64.8% accuracy.
Method / Result
Achieved 64.8% accuracy in transcribing open syllables, within 1.2 points of a 66.0% ceiling.
Limitations
The method's effectiveness may depend on the specific circuits used and their pruning from HuBERT.
Paper to code
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