#discrete-representations News & Analysis

3 articles tagged with #discrete-representations. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · May 276/10

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DSA-Tokenizer: Disentangled Semantic-Acoustic Tokenization via Flow Matching-based Hierarchical Fusion

Researchers introduce DSA-Tokenizer, a novel speech tokenization system that separates semantic content from acoustic style using distinct optimization paths and Flow Matching decoders. The approach enables discrete Speech LLMs to achieve better disentanglement while supporting efficient voice cloning and high-fidelity speech generation with minimal inference steps.

AINeutralarXiv – CS AI · Apr 206/10

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DASB -- Discrete Audio and Speech Benchmark

Researchers introduce DASB, a comprehensive benchmark framework for evaluating discrete audio tokens across speech, audio, and music domains. The study reveals that discrete representations lag behind continuous features and require significant tuning, with semantic tokens outperforming acoustic ones, establishing standardized evaluation protocols for multimodal AI systems.

AINeutralarXiv – CS AI · Mar 34/106

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Discrete World Models via Regularization

Researchers introduce Discrete World Models via Regularization (DWMR), a new method for learning Boolean representations of environments without requiring reconstruction or contrastive learning. The approach uses specialized regularizers to maximize entropy and independence while enforcing locality constraints, showing superior performance on benchmarks with combinatorial structure.